Top Data Science Jobs

Position: ML/DL/AI Expert Data Scientist

Specialization: Fraud Detection/Outlier Detection with Graph Convolutional Networks (GCN) and Graph Neural Network (GNN) Models

Type: Part-time that may become full-time(minimum 20 hours/week)

Company Overview:

Our company is a cutting-edge insurtech-healthtech company that is revolutionizing the way of finding frauds and diagnosis. We are dedicated to leveraging advanced machine learning, deep learning, and artificial intelligence techniques to solve complex problems in insurtech-healthtech. As we continue to grow, we are seeking a talented and experienced ML/DL/AI Expert Data Scientist to join our team and play a pivotal role in enhancing our fraud detection and outlier detection capabilities.

Role and Responsibilities:

As an ML/DL/AI Expert Data Scientist specializing in Fraud Detection/Outlier Detection, you will be responsible for:

Advanced Model Development: Design, develop, and implement state-of-the-art Graph Convolutional Networks (GCN) and Graph Neural Network (GNN) models, etc. for fraud detection and outlier detection. Leverage your extensive experience in handling imbalanced data to create robust models that effectively identify anomalies in complex datasets.

Specialized Domain Expertise: Apply your deep knowledge of insurance and/or healthcare data to enhance the accuracy and relevance of the developed models. Understand the intricacies of the industry-specific data to tailor the model architecture and features accordingly.

Learning Event Sequences: Utilize your expertise in handling learning event sequences to build models that can effectively capture and analyze sequential data patterns for fraud detection. Develop models that can uncover anomalies and irregularities within complex temporal data.

Explainability of Anomalies: Develop methods to explain the detected anomalies and outliers to stakeholders, making complex results interpretable for non-technical audiences. Provide insights into the factors contributing to anomalies, aiding in decision-making processes.

Collaboration: Collaborate with cross-functional teams including data engineers, domain experts, and software developers to integrate the developed models into our existing systems and applications. Contribute to a cohesive team environment that fosters knowledge sharing and innovation.

Research and Innovation: Stay updated with the latest advancements in the field of machine learning, deep learning, and AI. Actively research and propose innovative approaches to improve the accuracy and efficiency of our fraud detection and outlier detection methods.

Qualifications:

Advanced degree (MSc/PhD) in Computer Science, Data Science, Machine Learning, AI, or a related field.

Proven experience (at least 3 years) working on fraud detection and/or outlier detection projects using Graph Convolutional Networks (GCN) and Graph Neural Network (GNN) models.

Strong background in handling imbalanced datasets and designing solutions to address data class imbalance.

Proficiency in programming languages such as Python and deep learning frameworks like TensorFlow or PyTorch.

Experience in analyzing and interpreting complex learning event sequences for anomaly detection purposes.

Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Prior experience with insurance and/or healthcare data is a significant advantage.

Strong problem-solving skills and the ability to work independently in a dynamic environment.

Benefits:

Opportunity to work on cutting-edge projects that have a meaningful impact on healthcare.

Collaborative and innovative work culture that values learning and growth.

Access to the latest tools, resources, and research in the field of ML/DL/AI.

If you're a passionate and experienced ML/DL/AI Expert with a focus and experience with Fraud Detection/Outlier Detection and are excited about contributing to the growth and success of our Company, we encourage you to apply. Join us in our mission to revolutionize healthcare through advanced data science and AI techniques.

Position: ML/DL/AI Expert Data Scientist

Specialization: Fraud Detection/Outlier Detection with Graph Convolutional Networks (GCN) and Graph Neural Network (GNN) Models

Type: Part-time that may become full-time(minimum 20 hours/week)

Company Overview:

Our company is a cutting-edge insurtech-healthtech company that is revolutionizing the way of finding frauds and diagnosis. We are dedicated to leveraging advanced machine learning, deep learning, and artificial intelligence techniques to solve complex problems in insurtech-healthtech. As we continue to grow, we are seeking a talented and experienced ML/DL/AI Expert Data Scientist to join our team and play a pivotal role in enhancing our fraud detection and outlier detection capabilities.

Role and Responsibilities:

As an ML/DL/AI Expert Data Scientist specializing in Fraud Detection/Outlier Detection, you will be responsible for:

Advanced Model Development: Design, develop, and implement state-of-the-art Graph Convolutional Networks (GCN) and Graph Neural Network (GNN) models, etc. for fraud detection and outlier detection. Leverage your extensive experience in handling imbalanced data to create robust models that effectively identify anomalies in complex datasets.

Specialized Domain Expertise: Apply your deep knowledge of insurance and/or healthcare data to enhance the accuracy and relevance of the developed models. Understand the intricacies of the industry-specific data to tailor the model architecture and features accordingly.

Learning Event Sequences: Utilize your expertise in handling learning event sequences to build models that can effectively capture and analyze sequential data patterns for fraud detection. Develop models that can uncover anomalies and irregularities within complex temporal data.

Explainability of Anomalies: Develop methods to explain the detected anomalies and outliers to stakeholders, making complex results interpretable for non-technical audiences. Provide insights into the factors contributing to anomalies, aiding in decision-making processes.

Collaboration: Collaborate with cross-functional teams including data engineers, domain experts, and software developers to integrate the developed models into our existing systems and applications. Contribute to a cohesive team environment that fosters knowledge sharing and innovation.

Research and Innovation: Stay updated with the latest advancements in the field of machine learning, deep learning, and AI. Actively research and propose innovative approaches to improve the accuracy and efficiency of our fraud detection and outlier detection methods.

Qualifications:

Advanced degree (MSc/PhD) in Computer Science, Data Science, Machine Learning, AI, or a related field.

Proven experience (at least 3 years) working on fraud detection and/or outlier detection projects using Graph Convolutional Networks (GCN) and Graph Neural Network (GNN) models.

Strong background in handling imbalanced datasets and designing solutions to address data class imbalance.

Proficiency in programming languages such as Python and deep learning frameworks like TensorFlow or PyTorch.

Experience in analyzing and interpreting complex learning event sequences for anomaly detection purposes.

Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Prior experience with insurance and/or healthcare data is a significant advantage.

Strong problem-solving skills and the ability to work independently in a dynamic environment.

Benefits:

Opportunity to work on cutting-edge projects that have a meaningful impact on healthcare.

Collaborative and innovative work culture that values learning and growth.

Access to the latest tools, resources, and research in the field of ML/DL/AI.

If you're a passionate and experienced ML/DL/AI Expert with a focus and experience with Fraud Detection/Outlier Detection and are excited about contributing to the growth and success of our Company, we encourage you to apply. Join us in our mission to revolutionize healthcare through advanced data science and AI techniques.

Power BI Developer

Job type : Full Time

Location : Remote

Responsibility :

•Recognize business requirements in the context of BI and create data models to transform raw data into relevant insights

• Using Power BI, create dashboards and interactive visual reports

• Define key performance indicators (KPIs) with specific objectives and track them regularly

• Analyse data and display it in reports to aid decision-making

• Convert business needs into technical specifications and establish a timetable for job completion

• Create, test, and deploy Power BI scripts, as well as execute efficient deep analysis

• Use Power BI to run DAX queries and functions

• Create charts and data documentation with explanations of algorithms, parameters, models, and relationships

• Construct a data warehouse

• Use SQL queries to get the best results

• Make technological adjustments to current BI systems to improve their performance

• For a better understanding of the data, use filters and visualizations

• Analyse current ETL procedures to define and create new systems

• collect data from datasets, analyse data in Power BI Desktop, transform and clean data creating models, create visualizations and reports, pin visualizations to dashboards, share reports and dashboards with data consumers using the Power BI service.

Requirements :

• DAX experience – part of Power BI;

• SQL Server experience – ability to write complex queries;

• MS PowerApps;

• Working knowledge of Power Queries;

• BS in computer science, information system or equivalent working experience;

• MS Power BI suite (Power Query/M/DAX);

• 2-4 years of experience;

• 2+ years of experience with Power BI development delivering complex reports and dashboards;

• Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS);

• Background in data warehouse design (e.g. dimensional modelling) and data mining;

• Analytical mind with problem-solving aptitude;

• Industry experience is preferred;

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field

Data Analyst, Marketing Analytics will provide critical insights to the team and strategic support to the executive team. You will also have your fingers on the pulse of the business and develop metrics and reporting to keep the organization informed. Through your high-quality analysis and attention to detail, you will be the go-to person for marketing performance, insights and areas of opportunity. The ideal candidate is highly motivated and will use their technical skills and business acumen to quickly make an impact!

WHAT YOU’LL DO

Conduct in-depth customer journey analysis from marketing acquisition to conversion, analyzing all the customer interactions along the journey.

Conduct cost benefit analysis of current tools - make recommendations for better suited tools

Manage client reporting

Audit vendor invoices

Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy

Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management

Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions

Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy

Develop actionable insights, uncover new opportunities proactively based on data.

Present insights and recommendations to team and customers using high quality visualizations and concise messaging.

Identify new A/B Testing Opportunities and help the Marketing team ramp up the A/B Testing program.

Help the Marketing team on key business processes such as forecasting/budgeting, opportunity sizing, etc..

Identify opportunities for automation & optimization of Marketing workflow & processes.

WHAT YOU’LL NEED

5+ years of experience performing quantitative data analysis for Marketing teams, preferably in an internet or technology company.

Solid understanding of Shopify and plugins that work with Shopify plus SEO & SEM.

Solid understanding of Statistics with ability to explain statistical concepts to non-technical audiences.

Bachelors or Masters’ degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence.

Self-starter with a desire to learn and the ability to rapidly understand the business and its drivers.

Ability to handle multiple projects and meet deadlines in a fast-paced environment.

Experience with Google Analytics or other front-end analytical platforms.

This person will quickly deliver insights, review and develop metrics, and contribute to improved business processes to scale analytics that supports our growth. The successful candidate for this role will work closely with the Marketing, Sales, Engineering, and Product organizations to drive efficient and accurate marketing campaign execution using Google Analytics, SEMRush, AHREFs and other tools.

Qualifications

3+ years experience in data analytics, business analytics, statistical modeling, or related field

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree

Demonstrating data querying, exploration and validation; SQL and DBT

Knowledgeable of B2C marketing automation and operations best practices

Demonstrating the ability to tell stories with data through the use of data visualization, dashboards and/or slides calling out key data insights

Must possess exceptional written and verbal communication skills with the ability to clearly articulate ideas and feedback in a constructive way

Ideal candidate will thrive in the following culture:

Must have an obsession for data

Ability to thrive when there are changing priorities and shifting of gears

Strong oral and written communication skills

Must be a team player with a strong, self-managing work ethic

Must be a self-starter with a passion for learning and continuous improvement

Project Description:

We are seeking a highly skilled and experienced Senior Data Science Consultant with expertise in transformer models and computer vision to assist in a short project. The project involves optimizing a transformer model for hand gesture recognition, leveraging MediaPipe for hand tracking, and working with TFRecords for efficient data handling. The role is to examine the current notebook and provide advice on how we can achieve better results.

Responsibilities:

- Analyze the existing Notebook which contains the transformer model for hand gesture recognition in the context of computer vision.

- Provide expert advice on the design and optimization of computer vision algorithms and transformer models.

Project Duration:

This is a temporary position expected to last 2 weeks. The consultant will be required to work 1-2 hours per week.

Project Description:

We are seeking a highly skilled and experienced Senior Data Science Consultant with expertise in transformer models and computer vision to assist in a short project. The project involves optimizing a transformer model for hand gesture recognition, leveraging MediaPipe for hand tracking, and working with TFRecords for efficient data handling. The role is to examine the current notebook and provide advice on how we can achieve better results.

Responsibilities:

- Analyze the existing Notebook which contains the transformer model for hand gesture recognition in the context of computer vision.

- Provide expert advice on the design and optimization of computer vision algorithms and transformer models.

Project Duration:

This is a temporary position expected to last 2 weeks. The consultant will be required to work 1-2 hours per week.

Project Description:

We are seeking a highly skilled and experienced Senior Data Science Consultant with expertise in transformer models and computer vision to assist in a short project. The project involves optimizing a transformer model for hand gesture recognition, leveraging MediaPipe for hand tracking, and working with TFRecords for efficient data handling. The role is to examine the current notebook and provide advice on how we can achieve better results.

Responsibilities:

- Analyze the existing Notebook which contains the transformer model for hand gesture recognition in the context of computer vision.

- Provide expert advice on the design and optimization of computer vision algorithms and transformer models.

Project Duration:

This is a temporary position expected to last 2 weeks. The consultant will be required to work 1-2 hours per week.

Responsibilities:

•Setting up infrastructure and running large-scale data processing with Spark, Hive, Hadooop, etc. on AWS

• Assisting in sourcing, designing, integrating, and managing large complex geospatial datasets using APIs and AWS cloud tools (EC2, S3, Sagemaker)

• Building and supporting production-quality Airflow data pipelines

• Processing datasets on Google Earth Engine

• Continuous integration and deployment (CI/CD, Github)

• Preparing and maintaining technical documentation for datasets and deployed models (metadata, data dictionaries, code annotation, process diagrams)

• Performing exploratory data analysis, visualizing information using existing and new tools (QGIS, Python, R, etc.)

• Developing testing frameworks and tests of database and model quality and performance

Required Qualifications:

• 5+ years experience with Dask, Ray, GDAL, or Kubernetes

• 5+ years experience with at least one large-scale distributed data processing framework (Spark, Hadoop, Hive, etc.)

• 5+ years experience with creating and deploying data pipelines on AWS

• 5+ years experience with AWS (Lambda, EC2, S3, managed Airflow, Sagemaker, VPCs)

• Degree in Computer Science, Data Science, Engineering, Geography, Remote Sensing, or other highly quantitative disciplines.

• High level of proficiency in Python or R

• Ability to collaborate and communicate with both technical and non-technical stakeholders

• Ability to work independently and make key infrastructure decisions in a startup environment

• Experience in geospatial data, remote sensing techniques, satellite imagery, or computer vision

• Experience working with large raster or image data sets.

Responsibilities:

•Setting up infrastructure and running large-scale data processing with Spark, Hive, Hadooop, etc. on AWS

• Assisting in sourcing, designing, integrating, and managing large complex geospatial datasets using APIs and AWS cloud tools (EC2, S3, Sagemaker)

• Building and supporting production-quality Airflow data pipelines

• Processing datasets on Google Earth Engine

• Continuous integration and deployment (CI/CD, Github)

• Preparing and maintaining technical documentation for datasets and deployed models (metadata, data dictionaries, code annotation, process diagrams)

• Performing exploratory data analysis, visualizing information using existing and new tools (QGIS, Python, R, etc.)

• Developing testing frameworks and tests of database and model quality and performance

Required Qualifications:

• 5+ years experience with Dask, Ray, GDAL, or Kubernetes

• 5+ years experience with at least one large-scale distributed data processing framework (Spark, Hadoop, Hive, etc.)

• 5+ years experience with creating and deploying data pipelines on AWS

• 5+ years experience with AWS (Lambda, EC2, S3, managed Airflow, Sagemaker, VPCs)

• Degree in Computer Science, Data Science, Engineering, Geography, Remote Sensing, or other highly quantitative disciplines.

• High level of proficiency in Python or R

• Ability to collaborate and communicate with both technical and non-technical stakeholders

• Ability to work independently and make key infrastructure decisions in a startup environment

• Experience in geospatial data, remote sensing techniques, satellite imagery, or computer vision

• Experience working with large raster or image data sets.

Company: The Chalhoub Group

Location: Remote (Headquartered in Dubai)

Start date: as soon as possible (URGENT)

Duration: 2 weeks  a total of Manpower hours between 40 to 60 hours

Description:

Join The Chalhoub Group as a Freelance Data Scientist/Analyst with expertise in Python and Power BI. In this project-based role, you'll play a vital role in transforming our Voice of the Business Survey data into actionable insights by creating an interactive dashboard. As part of the application process, a short assignment will be required.

Responsibilities:

•Clean, preprocess, and analyze survey data using Python

• Reproduce a dashboard based on the design from last year's survey results, using this year's data.

• Collaborate with stakeholders to define relevant KPIs and metrics.

• Utilize almost ready dataset for this year's survey results.

• Present complex findings in a clear and concise manner.

• Ensure accuracy and usability of the dashboard.

Qualifications:

• Bachelor's/Master's degree in Data Science, Statistics, or related field.

• Proven experience in Python-based data analysis.

• Strong proficiency in creating Power BI dashboards.

• Solid experience in Qualtrics (to retrieve Survey results if needed only)

• Solid understanding of statistics and data modeling.

• Effective communication skills.

• Independent worker with excellent time management.

Application:

Given the urgency of our need, we request interested candidates to promptly send their resume, cover letter, hourly rate, relevant portfolio, and complete the short assignment outlined in the application process to Lamia.Berrahma@chalhoub.com. Join us in making a tangible impact through data-driven insights.

Company: The Chalhoub Group

Location: Remote (Headquartered in Dubai)

Start date: as soon as possible (URGENT)

Duration: 2 weeks  a total of Manpower hours between 40 to 60 hours

Description:

Join The Chalhoub Group as a Freelance Data Scientist/Analyst with expertise in Python and Power BI. In this project-based role, you'll play a vital role in transforming our Voice of the Business Survey data into actionable insights by creating an interactive dashboard. As part of the application process, a short assignment will be required.

Responsibilities:

•Clean, preprocess, and analyze survey data using Python

• Reproduce a dashboard based on the design from last year's survey results, using this year's data.

• Collaborate with stakeholders to define relevant KPIs and metrics.

• Utilize almost ready dataset for this year's survey results.

• Present complex findings in a clear and concise manner.

• Ensure accuracy and usability of the dashboard.

Qualifications:

• Bachelor's/Master's degree in Data Science, Statistics, or related field.

• Proven experience in Python-based data analysis.

• Strong proficiency in creating Power BI dashboards.

• Solid experience in Qualtrics (to retrieve Survey results if needed only)

• Solid understanding of statistics and data modeling.

• Effective communication skills.

• Independent worker with excellent time management.

Application:

Given the urgency of our need, we request interested candidates to promptly send their resume, cover letter, hourly rate, relevant portfolio, and complete the short assignment outlined in the application process to Lamia.Berrahma@chalhoub.com. Join us in making a tangible impact through data-driven insights.

We are in search of an experienced data analyst or modelist with proficiency in Excel. The ideal candidate will have the expertise to design economic models tailored for renewable energy projects, especially focusing on wind and solar farms.

Familiarity with the financial dynamics of the hydrogen energy sector will be an added advantage. This contract holds the potential to transition into a full-time position.

Required Experience:

Educational Background: Bachelor's degree or higher in Data Science, Economics, Renewable Energy, or a related field.

Data Modeling: Proven experience in designing and implementing economic models, preferably within the renewable energy sector.

Excel Mastery: Advanced proficiency in Excel, including functions, pivot tables, macros, and data visualization.

Renewable Energy Knowledge: Familiarity with the dynamics of wind and solar farm projects. An understanding of the hydrogen energy sector will be an added advantage.

Analytical Skills: Demonstrated ability to analyse large datasets, interpret results, and provide actionable insights.

Industry Tenure: At least 2 years of experience in the renewable energy sector, with a focus on data analysis or economic modeling.

Why Work with Us?

Innovative Culture: We pride ourselves on fostering a culture of innovation, where fresh ideas are welcomed, and groundbreaking solutions are celebrated.

Impactful Work: Join a team where your work directly contributes to the global shift towards sustainable energy, making a tangible difference in the fight against climate change.

Team: Work alongside leading energy professionals from a high-prestige global renewable energy company.

Competitive Compensation: We offer a competitive salary package. We value our employees' well-being and ensure a balanced work environment that caters to both professional commitments and personal life.

Join us in our mission to pioneer Australia's renewable energy landscape and make a lasting impact on our planet's future.

*MUST HAVE EXPERIENCE WORKING ON AR/AI PROJECTS*

Hi all! We are seeking a project manager for our tech company. We are a startup tech company located here in the US and we have 7 university students from the US starting to intern with us next week, with backgrounds in software engineering, computer science and data analytics. We are seeking a project manager who has the technical capabilities to assign them projects that can be used to help elevate our companies. We currently lack the technical expertise and are needing our PM to come in as a member of our company to lead the way with these interns to help us build out product and data. Please send over your qualifications and how you can assist.

We are an early-stage, well-funded startup with the offices in Sydney, Australia and California, USA, and we are looking for an experienced (Senior) Applied Data Scientist to support our research and productionization efforts in data science and ML performance domains, as we innovate together to use LLMs as autonomous agents for our Conversational AI product.

You would be a great fit if you have experience with:

- practical R&D and ML modeling, experimenting with various model architectures with the ultimate goal of achieving the highest accuracy of the ML output possible.

- the latest ML algorithms, LLMs and NLP.

You will collaborate with our CSO, CTO, ML Engineers and Software developers: most are from Google, AWS and Meta.

Responsibilities:

- Research, design, experiment with, and build high-accuracy ML models, focusing on surveying state-of-the-art publications on Autonomous agents.

- Find ways to reproduce cutting-edge innovations and build upon research findings to enhance our Conversational AI product.

- Apply advanced ML techniques to analyze complex datasets, extract meaningful insights, and develop predictive models to improve our LLM’s accuracy and performance.

- Devise and implement data augmentation techniques to improve the training and performance of our LLMs.

- Build rapid prototypes and proof of concepts to turn ideas into our product’s features and infrastructure.

Location: strong preference will be given to contractors in/near Sydney, Australia, or in adjacent time zones.

We are an early-stage, well-funded startup with the offices in Sydney, Australia and California, USA, and we are looking for an experienced (Senior) Applied Data Scientist to support our research and productionization efforts in data science and ML performance domains, as we innovate together to use LLMs as autonomous agents for our Conversational AI product.

You would be a great fit if you have experience with:

- practical R&D and ML modeling, experimenting with various model architectures with the ultimate goal of achieving the highest accuracy of the ML output possible.

- the latest ML algorithms, LLMs and NLP.

You will collaborate with our CSO, CTO, ML Engineers and Software developers: most are from Google, AWS and Meta.

Responsibilities:

- Research, design, experiment with, and build high-accuracy ML models, focusing on surveying state-of-the-art publications on Autonomous agents.

- Find ways to reproduce cutting-edge innovations and build upon research findings to enhance our Conversational AI product.

- Apply advanced ML techniques to analyze complex datasets, extract meaningful insights, and develop predictive models to improve our LLM’s accuracy and performance.

- Devise and implement data augmentation techniques to improve the training and performance of our LLMs.

- Build rapid prototypes and proof of concepts to turn ideas into our product’s features and infrastructure.

Location: strong preference will be given to contractors in/near Sydney, Australia, or in adjacent time zones.

Please quote recreating this type of tool that will be used to conduct prior art searches for patents, patent publications, and scholarly research by using advanced technologies such as as NLP, AI, ML, etc.

I have need to have a working MVP online as soon as possible that at minimum can operate like this example below, however, a strong performance will undoubtedly lead to very good, steady consistent work as we work together to push the limits of the latest technologies to scale this type of platforms features tremendously.

I will give expert the license to utilize whatever technical resources they feel will suit their skill set and expertise for the best. The demo program to look at to the quote the minimum technical requirement to complete the MVP can be found at quoting to recreate this tool here: projectpg.ai.

Detailed project description for recreating an advanced prior art search tool using NLP, AI, and ML technologies:

Project Background

The goal of this project is to develop an advanced software tool for conducting prior art searches for patents, patent publications, and scholarly research. The tool should leverage cutting-edge natural language processing (NLP), artificial intelligence (AI), and machine learning (ML) technologies to analyze documents, extract key technical elements, and deliver highly relevant results.

Required Features

User-friendly interface for entering search queries as natural language questions

Semantic search capabilities using NLP to understand query intent and map to relevant key terms

AI/ML models to analyze patent claims, abstracts, descriptions to extract important technical details

Matching algorithms to compare search queries with documents and identify novelty, overlaps

Databases indexed with millions of granted patents, patent applications, academic papers

Flexible search options: keywords, classifications, inventors, assignees, dates

Relevance ranking of results based on semantic similarity to search query

Query refinement suggestions to help users iterate and improve searches

Customizable result filters like date range, jurisdiction, technology area

Save search queries and share links to results

User account management, search history, favorites

Advanced Capabilities

Continuously improve AI models through active machine learning

Summarize long documents to quickly determine relevance

Natural language generation to describe differences between prior art

Citations analysis to find related documents

Identify patentability issues like obviousness, enablement

Data visualizations for comparing corpus of results

Technical Implementation

Modern web framework like React for responsive UI

Python/Flask backend with REST API endpoints

Docker deployment for portability and scaling

Cloud database like PostgreSQL for storage

ElasticSearch for indexing documents and fast keyword search

SpaCy and Transformers for NLP operations

PyTorch, TensorFlow for ML models

CI/CD pipeline for testing and continuous deployment

Development Approach

Agile methodology with sprints and iterative development

Focus on MVP first then build in advanced features

Collaboration on design specs, UI/UX, and APIs

Code reviews and unit testing to ensure quality

Onboarding for ramp-up on technologies and overall architecture

Documentation of all components, modelling experiments

This project requires expertise in search technology, data science, and scalable cloud systems.

The end product should provide patent professionals an efficient way to conduct comprehensive prior art searches using the latest techniques in semantic search and artificial intelligence. There is great opportunity to push boundaries and build an exceptionally intelligent platform.

Introduction:

We are seeking an experienced and motivated Senior MLOps Engineer to join our dynamic team. As a Senior MLOps Engineer, you will be a key player in designing, building, and maintaining robust and scalable machine learning operational pipelines. Your contribution will significantly impact our customer-facing tools and innovative projects.

Role and Responsibilities:

- Collaborate closely with cross-functional teams to develop and maintain end-to-end machine learning operational pipelines.

- Design and implement scalable solutions for deploying, monitoring, and maintaining machine learning models in production.

- Leverage orchestration tools like Dagster, our single source of truth for asset management.

Contribute to pipeline prototyping using innovative tools like gathr.one.

- Implement event-driven architectures using Kafka, hosted on Aiven, as our messaging broker.

- Develop data engineering pipelines involving EL (Extract, Load) processes, harnessing Dagster, Spark Structured Streaming, and potentially Delta-Lake.

- Collaborate with teams working on transformation (T) pipelines, leveraging Dagster, Spark, and DBT.

- Utilize S3 as our warehouse storage solution, with potential integration with Databricks as the query engine.

- Contribute to the exploration of hot store options such as Druid, Pinot, and Clickhouse, enhancing real-time data availability.

- Participate in code reviews, mentor junior team members, and drive the adoption of best practices within the MLOps team.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Proven experience as an MLOps Engineer, focusing on deploying and maintaining machine learning models in production environments.

- Strong proficiency in programming languages such as Python, and experience with relevant libraries and frameworks.

-Solid understanding of cloud platforms like AWS, Azure, or GCP, and familiarity with infrastructure as code (IaC) tools.

- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

Familiarity with continuous integration, continuous deployment, and version control systems (e.g., Git).

Excellent problem-solving skills and ability to troubleshoot complex issues in production environments.

Strong communication skills and ability to collaborate effectively with cross-functional teams.

We are looking for a passionate and experienced Senior Data Scientist to join our team at Yofi. As a Senior Data Scientist, you will deploy and integrate core machine learning models and feature engineering to improve the precision and accuracy of our model. You will work closely with our engineering and product teams to design and deploy scalable and robust machine learning solutions to solve complex business problems.

Responsibilities:

● Strong Leadership Skills to work with a team of DE and ML engineers

● Deploy and integrate machine learning models for real-time predictions and decisioning.

● Collaborate with product and engineering teams to identify, prioritize and deliver high-impact projects and features.

● Retrieve data from mongodb/nosql document store for real-time predictions.

● Retrieve data from the graph database for real-time reasoning over graphs and feature aggregations for ml predictions.

● Identify and evaluate emerging technologies that could enhance our machine learning capabilities.

● Work with and support junior engineers, MLEs, and data scientists/analysts.

Requirements:

● Strong experience with algorithms, feature engineering, and graph data science.

● Experience with GCP, including Vertex AI, BigQuery, and Cloud Storage.

● Excellent programming skills in Python, SQL, and experience with Apache Spark.

● Excels with feature engineering and correlational analysis,

● Experience with NoSQL databases, specifically MongoDB.

● Understanding of graph databases and graph schemas.

● Strong analytical skills and experience working with large datasets.

● Strong communication skills and the ability to communicate complex technical concepts

to non-technical stakeholders.

● Experience with git.

● Preference to work collaboratively as a part of a remote team.

● Knowledgeable with e-commerce and bonus with understand or experience with fraud.

We are looking for a passionate and experienced Senior Data Scientist to join our team at Yofi. As a Senior Data Scientist, you will deploy and integrate core machine learning models and feature engineering to improve the precision and accuracy of our model. You will work closely with our engineering and product teams to design and deploy scalable and robust machine learning solutions to solve complex business problems.

Responsibilities:

● Strong Leadership Skills to work with a team of DE and ML engineers

● Deploy and integrate machine learning models for real-time predictions and decisioning.

● Collaborate with product and engineering teams to identify, prioritize and deliver high-impact projects and features.

● Retrieve data from mongodb/nosql document store for real-time predictions.

● Retrieve data from the graph database for real-time reasoning over graphs and feature aggregations for ml predictions.

● Identify and evaluate emerging technologies that could enhance our machine learning capabilities.

● Work with and support junior engineers, MLEs, and data scientists/analysts.

Requirements:

● Strong experience with algorithms, feature engineering, and graph data science.

● Experience with GCP, including Vertex AI, BigQuery, and Cloud Storage.

● Excellent programming skills in Python, SQL, and experience with Apache Spark.

● Excels with feature engineering and correlational analysis,

● Experience with NoSQL databases, specifically MongoDB.

● Understanding of graph databases and graph schemas.

● Strong analytical skills and experience working with large datasets.

● Strong communication skills and the ability to communicate complex technical concepts

to non-technical stakeholders.

● Experience with git.

● Preference to work collaboratively as a part of a remote team.

● Knowledgeable with e-commerce and bonus with understand or experience with fraud.

We are a startup located in the US with an experienced founding team. Having had success with previous ventures, we're now focusing on our next project in SportsTech. We're currently looking to grow our AI team and are seeking a competent AI Engineer. Our objective is to use artificial intelligence to solve challenges in the SportsTech domain.

Role Overview:

============

As our AI Engineer, you will have a strong foundation in AI and ML. Your main task is to stay updated with current trends in AI, analyze large data sets to derive insights, and develop cutting-edge algorithms to push our projects forward.

Key Responsibilities:

================

Model Development: Create and optimize AI models according to project needs.

API Integration: Convert AI/ML models into accessible APIs for developers.

Data Analysis: Conduct statistical evaluations on large data sets for insights.

Project Management: Handle infrastructure related to AI model development and projects.

Team Collaboration: Work alongside ML engineers, data specialists, and other AI engineers for model development.

We are a fast moving team, you must be able to keep up, and push us even further.

1. You love AI, and have already used AI / ML for one or more projects.

2. You understand the current landscape of AI, new trends, libraries, challenges etc.

3. You know how to use LLM, enhance its knowledge using various methodologies, embeddings, retrieval methods, fine tuning etc.

4. You are inquisitive, passionate, driven and distraction free. You will live and breathe this role.

5. You have a bachelor's degree in computer science, data science, software development, or a related discipline. Master's degree is preferable.

6. You are proficient in key programming languages like Python, C/C++, Javascript.

7. You have a deep grasp of statistical methods, algorithmic designs, and essential mathematical foundations, including linear algebra and probability.

8. You have demonstrated experience in handling extensive data sets and crafting efficient code for swift data processing.

We are a startup located in the US with an experienced founding team. Having had success with previous ventures, we're now focusing on our next project in SportsTech. We're currently looking to grow our AI team and are seeking a competent AI Engineer. Our objective is to use artificial intelligence to solve challenges in the SportsTech domain.

Role Overview:

============

As our AI Engineer, you will have a strong foundation in AI and ML. Your main task is to stay updated with current trends in AI, analyze large data sets to derive insights, and develop cutting-edge algorithms to push our projects forward.

Key Responsibilities:

================

Model Development: Create and optimize AI models according to project needs.

API Integration: Convert AI/ML models into accessible APIs for developers.

Data Analysis: Conduct statistical evaluations on large data sets for insights.

Project Management: Handle infrastructure related to AI model development and projects.

Team Collaboration: Work alongside ML engineers, data specialists, and other AI engineers for model development.

We are a fast moving team, you must be able to keep up, and push us even further.

1. You love AI, and have already used AI / ML for one or more projects.

2. You understand the current landscape of AI, new trends, libraries, challenges etc.

3. You know how to use LLM, enhance its knowledge using various methodologies, embeddings, retrieval methods, fine tuning etc.

4. You are inquisitive, passionate, driven and distraction free. You will live and breathe this role.

5. You have a bachelor's degree in computer science, data science, software development, or a related discipline. Master's degree is preferable.

6. You are proficient in key programming languages like Python, C/C++, Javascript.

7. You have a deep grasp of statistical methods, algorithmic designs, and essential mathematical foundations, including linear algebra and probability.

8. You have demonstrated experience in handling extensive data sets and crafting efficient code for swift data processing.

Senior Data Scientist - Biochemistry AI Models at Prepaire Labs

About Prepaire Labs:

Prepaire Labs is at the forefront of revolutionizing the drug discovery and disease modeling sector. By combining in silico with in vitro, we are working towards personalized medicine and therapies. Our open platform, based on the LIM operating system, connects all the best gene editing applications under one roof, offering a white box approach to our innovation-driven environment. Join us in advancing the journey towards a future free of side effects.

Position Overview:

We are looking for a passionate and experienced Senior Data Scientist to take part in the architecture and coding of our cutting-edge biochemistry AI models. You will be part of a dynamic team aiming to create efficiencies within the drug discovery landscape.

Responsibilities:

- Design, build and maintain complex AI models for drug discovery and disease modeling.

- Collaborate with multidisciplinary teams including biochemists, geneticists, and software developers.

- Analyze vast datasets to extract insights and drive decision-making processes.

- Provide thought leadership in AI and machine learning, promoting best practices.

- Support in the development of our Multi-Omnis app store with the latest gene editing applications.

Qualifications:

- Ph.D. or Master's in Computer Science, Data Science, Bioinformatics, or a related field.

- Minimum of 5 years of experience in data science, AI, or machine learning, preferably in the biotechnology sector.

- Proficient in Python, R, or other relevant programming languages.

- Experience in deep learning frameworks such as TensorFlow or PyTorch.

- Strong understanding of biochemistry, genetics, or a related field is a plus.

- Excellent communication and collaboration skills.

What We Offer:

- Competitive salary and benefits package.

- Opportunities for growth and continuous learning.

- Collaboration with a talented and enthusiastic team.

- Supportive environment, fostering innovation and creativity.

- Access to our BLS 3 lab for downstream wet-lab services like IPSC reprogramming and genome sequencing.

How to Apply:

Please send your resume, cover letter, and any relevant work samples to cf@prepaire.com. Include “Senior Data Scientist - Biochemistry AI Models” in the subject line.

Prepaire Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Senior Data Scientist - Biochemistry AI Models at Prepaire Labs

About Prepaire Labs:

Prepaire Labs is at the forefront of revolutionizing the drug discovery and disease modeling sector. By combining in silico with in vitro, we are working towards personalized medicine and therapies. Our open platform, based on the LIM operating system, connects all the best gene editing applications under one roof, offering a white box approach to our innovation-driven environment. Join us in advancing the journey towards a future free of side effects.

Position Overview:

We are looking for a passionate and experienced Senior Data Scientist to take part in the architecture and coding of our cutting-edge biochemistry AI models. You will be part of a dynamic team aiming to create efficiencies within the drug discovery landscape.

Responsibilities:

- Design, build and maintain complex AI models for drug discovery and disease modeling.

- Collaborate with multidisciplinary teams including biochemists, geneticists, and software developers.

- Analyze vast datasets to extract insights and drive decision-making processes.

- Provide thought leadership in AI and machine learning, promoting best practices.

- Support in the development of our Multi-Omnis app store with the latest gene editing applications.

Qualifications:

- Ph.D. or Master's in Computer Science, Data Science, Bioinformatics, or a related field.

- Minimum of 5 years of experience in data science, AI, or machine learning, preferably in the biotechnology sector.

- Proficient in Python, R, or other relevant programming languages.

- Experience in deep learning frameworks such as TensorFlow or PyTorch.

- Strong understanding of biochemistry, genetics, or a related field is a plus.

- Excellent communication and collaboration skills.

What We Offer:

- Competitive salary and benefits package.

- Opportunities for growth and continuous learning.

- Collaboration with a talented and enthusiastic team.

- Supportive environment, fostering innovation and creativity.

- Access to our BLS 3 lab for downstream wet-lab services like IPSC reprogramming and genome sequencing.

How to Apply:

Please send your resume, cover letter, and any relevant work samples to cf@prepaire.com. Include “Senior Data Scientist - Biochemistry AI Models” in the subject line.

Prepaire Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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