Top Machine Learning Jobs

Looking for a machine learning engineer near Hyd.Pk to develop a website video genrative AI and AI chatbots for healthcare facilities.

Looking for an analyst on a part-time/full-time basis who can work many hours a week depending on availability and skillset. Must possess expert understanding of multidimensional modeling and ERP Epicor (DocStar) data.

You will be required to log on remotely to complete certain tasks. A time tracker is required

MUST HAVE HIGH-SPEED INTERNET CONNECTION and at least 16GB Of RAM on the computer.

MUST BE WILLING TO VALIDATE WORK, it is not enough to write a formula and hope for the best

Looking for an experienced data analyst

Examples of tasks:

• Design, develop, and maintain Power BI reports and dashboards to meet business requirements.

• Utilize DAX, M-Code, for complex data manipulations, calculations, and transformations.

• Dig through database to find tables and columns to create reports

• Some familiarity using data from Epicor ERP

-Other tools

Visual Studio

OLAP

NOT LOOKING FOR A DEVELOPER THAT JUST FOLLOWS ORDERS looking for someone that can provide solutions. That can teach me not the other way around.

40% of the time is spent analyzing data. It is not enough to create a measure or show a chart must dig into the data. What is the data telling us? these fields are blank is this ok? so many nulls is this right? etc.

40% asking the right questions in order to comprehend and create the business intelligence report. being innovative and condensing disparate pieces of data into actionable insights or succinct reports for senior executives. Proficient with PowerBI, Mcode, and DAX

20 % documentation to help translate business requirements to technical requirements

-Use current and emerging Statistics, Machine Learning and Data Science methods

Innovate new analytic solutions that serve unmet customer needs

-Communicate analytical results clearly and succinctly-

-Work closely with me to make value-added analytical services available to stakeholders

-Be creative, collaborative in nature, and a self-starter

Must have:

PowerBI

SQL

Our company has been at the forefront of the consumer legal industry for over two decades, committed to closing the justice gap in the US through innovation and technology.

We are seeking an experienced developer to join our team to develop our AI chatbot called "Virtual Attorney." This project requires an individual who can effectively integrate AI, machine learning, and legal tech to provide users with an intuitive and efficient experience.

Responsibilities

- Understand the objectives and features of Phase One

- Design, develop, and implement chatbot functionalities

- Conduct quality assurance tests to guarantee the robustness and - reliability of the chatbot

Requirements

- Proven expertise in AI development and deployment, particularly with OpenAI and chatbot technologies

- Exceptional problem-solving skills

Please ensure that your proposal includes responses to the following inquiries:

1- How would you describe your understanding of the objectives and features for Phase One of the Virtual Attorney chatbot?

2- What are the most challenging aspects of implementing the features listed in Phase One?

3- What technology stack do you propose for implementing the features mentioned in Phase One?

4- What is your high-level estimate for how long it will take to develop Phase One features?

5- For Phase One, which team members will we require? Is it possible for you to handle it alone?

6- Can you provide an estimated budget to complete Phase One successfully?

7- How can ChatGPT Enterprise help develop the Virtual Attorney chatbot and reduce costs?

Project Specification:

https://docs.google.com/document/d/1AONJE69XocFTXTa1e0bYZwI3Ystb5QI01QSqgpJtwpA/edit?usp=sharing

We are looking forward to your proposals!

We are looking for a skilled individual to build a web-based translation machine capable of learning from provided texts. This machine should be able to accurately translate text from one language to another and improve its translation quality over time. The ideal candidate should have expertise in machine learning, natural language processing, and software development. The responsibilities of the job include:

- Building a translation machine that can learn from provided texts

- Implementing machine learning algorithms to improve translation accuracy

- Developing a user-friendly interface for the translation machine

- Testing and refining the translation machine's performance

- Providing documentation and support to ensure successful deployment

The first step is provide us with the resources (hosting, licences, etc.) that will need to be acquired outside of this contract so we can have an overview of the project scope.

We are looking for a skilled individual to build a web-based translation machine capable of learning from provided texts. This machine should be able to accurately translate text from one language to another and improve its translation quality over time. The ideal candidate should have expertise in machine learning, natural language processing, and software development. The responsibilities of the job include:

- Building a translation machine that can learn from provided texts

- Implementing machine learning algorithms to improve translation accuracy

- Developing a user-friendly interface for the translation machine

- Testing and refining the translation machine's performance

- Providing documentation and support to ensure successful deployment

The first step is provide us with the resources (hosting, licences, etc.) that will need to be acquired outside of this contract so we can have an overview of the project scope.

We are seeking a talented Software Engineer with a focus on Machine Learning to join our team. If you're passionate about AI, have an entrepreneurial spirit, and are driven to make a real-world impact, we want to hear from you.

**Key Responsibilities:**

1. Design, develop, and deploy cutting-edge machine learning models into production environments.

2. Collaborate with cross-functional teams to understand business needs and provide AI-driven solutions.

3. Drive innovation in voice synthesis and natural language processing applications.

4. Contribute to the exploration and implementation of reinforcement learning policies.

5. Stay updated with the latest in AI and ML research and technologies, ensuring our solutions are always a step ahead.

7. Analyze complex technical issues and provide actionable solutions.

**Requirements:**

- A deep-rooted entrepreneurial spirit with a strong desire to shape the future of AI products.

- A team player mentality, comfortable with taking initiative in a dynamic, fast-paced environment.

- Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.

- Strong problem-solving capabilities and analytical skills.

- 2+ years of experience deploying machine learning models into production.

- Familiarity or experience with voice synthesis and natural language processing techniques.

- Familiarity or experience with reinforcement learning policies is a distinct advantage.

We are seeking a skilled AI Recommender System Developer to build and implement an advanced recommender system. The successful candidate will have expertise in AI and machine learning algorithms, as well as a strong understanding of recommendation systems. The ideal candidate will be able to analyze large datasets, design and train models, and optimize algorithm performance. Additionally, experience with natural language processing and deep learning frameworks such as TensorFlow or PyTorch would be highly advantageous.

I am looking for an LLM and Machine Learning expert. This is not someone who can just use APIs for a few small projects. This can convert into a full-time thing.

We're looking for someone to help us improve our language model and make it smarter. The ideal candidate will have a passion for making a positive impact on the world through their work. The main goal is to make the model more helpful and accurate. The tasks for this project include:

- Finding areas where the language model can be improved

- Coming up with strategies to make the model smarter

- Keeping up with the latest advancements in language modeling through research

- Continuously testing and improving the model's performance

Skills needed:

- Good understanding of natural language processing

- Strong programming skills

- Excellent problem-solving abilities

- Knowledge of machine learning algorithms

- Familiarity with deep learning frameworks like TensorFlow or PyTorch

We are seeking a highly skilled computer vision expert to build a home identification system. The system should be able to accurately identify different types of homes based on images or video input. The ideal candidate will have experience in computer vision algorithms and deep learning techniques, as well as the ability to develop and train machine learning models. The main tasks of this project include image preprocessing, feature extraction, and classification. The successful candidate will also need to optimize the system for real-time performance. Skills required for this project include:

- Computer vision algorithms

- Deep learning techniques

- Machine learning model development and training

- Image preprocessing

- Feature extraction

- Classification

- Real-time optimization

If you have the expertise and experience in computer vision and are excited about developing an advanced home identification system, we would love to hear from you.

Project Overview:

We are seeking a highly skilled and experienced developer or development team to work on an AI-powered contract management solution. The aim is to create a robust, user-friendly platform that leverages AI to automate contract creation, negotiation, and compliance tracking. This project will require expertise in back-end and front-end development, as well as specific knowledge in machine learning algorithms and natural language processing.

Tasks and Deliverables:

1. Design and implement back-end architecture for contract management.

2. Develop AI algorithms for contract creation and compliance.

3. Create an intuitive front-end user interface.

4. Ensure data security and compliance with legal standards.

5. Test and iterate the solution based on user feedback.

Skills Required:

- Strong experience in Full Stack Development (Front-end and Back-end)

- Proficiency in AI and machine learning algorithms

- Experience in natural language processing (NLP)

- Familiarity with data security and legal compliance

- Strong communication skills

- Proficiency in Vue.js, Tailwind CSS, React Native, or similar technologies

Communication:

- Weekly update meetings via Zoom/Skype

- Daily stand-ups for quick progress updates

- Communication via Slack for day-to-day tasks

- We value transparency, so regular updates are crucial

Working Style:

- Agile methodology preferred

- Must be open to iterative development based on user testing and feedback

Additional Information:

- Open to signing an NDA

- Please provide case studies or examples of previous work in AI

- Continued Employment Opportunity:

If the deliverables meet our expectations, we are open to considering you for continued employment for maintenance and future projects.

We are eager to find a development partner who can not only execute but also contribute ideas and innovations to make the product better. If this sounds like a project that aligns with your skills and interests, we would love to hear from you.

We are searching for a skilled Chatbot Developer with expertise in AWS Lex to join our dynamic team. The ideal candidate will be responsible for developing, implementing, and maintaining chatbot solutions to enhance user experiences and drive business outcomes.

**Key Responsibilities:**

1. Design, develop, and deploy chatbot solutions using AWS Lex, ensuring seamless integration with other AWS services.

2. Collaborate with cross-functional teams to define chatbot requirements, user stories, and innovative solutions.

3. Train and fine-tune chatbot models to understand and process user inputs accurately.

4. Monitor chatbot performance and make necessary adjustments to improve accuracy and user satisfaction.

5. Stay updated with the latest advancements in AWS Lex and other chatbot technologies to ensure our solutions are always cutting-edge.

6. Work with the user experience (UX) and user interface (UI) design teams to create engaging and intuitive chatbot interactions.

7. Troubleshoot and resolve issues related to chatbot development and deployment.

8. Document development processes, best practices, and architectural decisions.

**Qualifications:**

1. Bachelor's degree in Computer Science, Information Technology, or a related field.

2. Minimum 5 of experience in chatbot development, with a strong focus on AWS Lex.

3. Proficiency with AWS services such as Lambda, S3, and DynamoDB.

4. Strong programming skills in Python, Node.js, or other relevant languages.

5. Familiarity with Natural Language Processing (NLP) and Machine Learning (ML) concepts.

6. Excellent problem-solving skills and a detail-oriented mindset.

7. Ability to work in a fast-paced, collaborative environment.

8. Strong written and verbal communication skills.

Salary:80k-150k

Full-Time/ Remote/ Flexible working hours

Our mission is to build machines that understand the world, starting with language. We have four core products: Document AI, Workflow AI, Product AI, and Content AI. We use these four products to build **custom workplace automation solutions for companies** that want to help their teams get work done faster and better.

Most of our work involves **state-of-the-art large language models** such as OpenAI’s GPT-4, ChatGPT, Llama 2 and its variants, and Anthropic’s Claude 2. We perform pretraining, fine-tuning, and inference at scale using these models on several GPU-focused cloud providers.

We have an amazing team of 25+ people across machine learning, engineering, product, sales, and marketing. Several of us have **founded and operated multiple ML startups** over the years, with a proven track record of success.

**Join us** on this journey to bring the latest in generative AI to more companies.

## About This Role

As a MLOps engineer you will design and develop solutions for clients across many use cases and many verticals, leveraging state-of-the-art large language models.

### This includes the following tasks:

- Explore client’s product vision and needs

- Evaluate possible approaches to solving the problem and decide on best course of action (best defined as fast, economical, and effective)

- Work with our internal product team to develop both consumer-facing and business-facing products

- Design, implement and maintain automated CI/CD pipelines for ML models

- Design and implement model deployment and monitoring strategies

- Work closely with our machine learning and engineering teams to improve the efficiency and scalability of our ML workflows

- Develop techniques to train and serve models faster

- Deploy models as API

### **You may be a good fit if you have:**

- Proficiency in Python and related ML frameworks such as PyTorch and Tensorflow

- Proficiency with large language models such as OpenAI’s GPT-3.5, GPT-4, Meta’s Llama 1 and Llama 2, Vicuna, Koala, Wizard, Falcon, RedPajama, Anthropic’s Claude 1 and Claude 2, GPT-J, GPT-NeoX, T5, Flan-UL2, and others

- Familiarity with autoregressive sequence models, such as Transformers

- Experience with Hugging Face, Weights & Biases, LangChain, Pinecone, and similar libraries

- Experience using large-scale distributed training strategies

- Experience with writing production-ready code, using CI/CD, and deploying models on major cloud platforms such as AWS, GCP, and Azure and specialty GPU players such as Coreweave, Lambda Labs, Modal Labs, and OctoML

- Experience using Kubernetes and Docker

- Awareness of and experience with specialized hardware providers such as Cirrascale, Cerebras, SambaNova, and GraphCore

- Experience using GPUs such as A100s and H100s

- Strong written and oral communication and problem-solving skills

- A demonstrated passion for applied NLP models and products

- Passion for learning and applying the latest in LLM and NLP research

Role Overview:

Seeking a skilled Data Scientist adept at leveraging large language models and natural language processing (NLP) tools to extract actionable insights from complex datasets. The successful candidate will work closely with our development team to improve and fine-tune our advanced analytics platform.

Responsibilities:

• Utilize large language models and NLP tools to analyze data and extract insights.

• Design and implement machine learning models to enhance platform capabilities.

• Collaborate with the backend team to integrate models into the main system.

• Conduct advanced data analysis to uncover patterns, correlations, and trends.

• Translate complex data findings into actionable strategies.

• Monitor and fine-tune model performance over time.

Qualifications:

• Expertise in large language models and NLP.

• Experience with machine learning frameworks and tools.

• Familiarity with database technologies, including graph databases.

• Strong analytical and problem-solving skills.

• Excellent collaboration and communication abilities.

• Familiarity with Azure cloud services is a plus.

We're looking to build an interactive, AI-powered text-based adventure platform focused on the Science Fiction genre. Think "AI Dungeon," but with a laser focus on Sci-Fi themes like space exploration, futuristic tech, and alien civilizations.

The product would be more of an interactive novel and would not require the complexities such as multiplayer, etc.

Responsibilities:

AI Model Training: Train a machine learning model specifically on Science Fiction literature, scripts, and other relevant texts.

Backend Development: Implement the trained model into a backend system that can handle multiple user inputs and generate real-time responses.

Frontend Development: Create a user-friendly interface where users can interact with the AI.

Testing and Debugging: Ensure the platform is robust, scalable, and free of bugs.

Documentation: Provide comprehensive documentation for the code and architecture.

Skills Required:

Strong experience in machine learning and natural language processing

Proficiency in Python or other relevant programming languages

Experience with cloud computing platforms like AWS or Google Cloud

Familiarity with frontend development (HTML, CSS, JavaScript)

Strong communication skills

Nice to Have:

A love for Science Fiction

Previous experience in game development or interactive storytelling

Knowledge of UI/UX design principles

Budget and Timeline:

Budget: $10,000 - $20,000 (Negotiable based on experience and skill set)

Timeline: 3-6 months

To Apply:

Please submit your portfolio, resume, and a brief cover letter explaining why you're the perfect fit for this project. Bonus points if you can provide a demo or prototype showcasing your skills in AI or interactive storytelling.

We are looking for a skilled professional to create a recommendation model. The model should be able to analyze user preferences and behavior to provide personalized recommendations. The job requires expertise in the following areas:

• Machine learning

• Data analysis

• Statistical modeling

• Python programming

• Algorithm development

• Data visualization

• Problem-solving

The size of the project is small and can be completed within a month. We are seeking an expert with a strong background in recommendation systems and machine learning. The chosen candidate should have the ability to understand complex data and develop algorithms that generate accurate recommendations for our users.

We are looking for a developer who can help in building a facial analysis tool.

The hardware to capture detailed pictures of various types is already present.

Your program is going to identify sebum, pores, wrinkles, blackheads, and deeper analysis such as UV spots, PL Sensitivity, and so on.

You must have expertise in

1. facial analysis libraries such as OpenCV, dlib, TensorFlow, and PyTorch

2. You should also have demonstrable experience in Machine Learning Models such as SVM, Random Forest, etc.

3. You must have the skills to test your models to ensure accuracy.

If you have prior experience in developing something similar, please feel free to mention it in your response.

Please apply only if you have relevant experience and credentials to work on the project.

Position: ML/DL/AI Expert Data Scientist

Specialization: Fraud Detection/Outlier Detection

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:

Model Development: Design, develop, and implement state-of-the-art 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 (Advantage): Apply your deep knowledge of data science solutions in insurance and/or healthcare data (advantage) 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 and similarities 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.

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

Proficiency in programming languages such as Python, ML 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.

We are an emerging startup in the dynamic field of cloud professional services. As we embark on our journey through the early growth stages, we are looking for driven individuals who can thrive in a fast-paced, entrepreneurial environment. As we pave the way for advancements in synthetic data generation, we seek a dedicated Machine Learning Engineer with a specialty in computer vision to join our dynamic team.

Responsibilities:

Synthetic Data Generation: Develop and implement algorithms for generating synthetic data to enhance computer vision models.

Algorithm Development: Design and optimize computer vision and machine learning algorithms tailored to specific project requirements.

Collaboration: Work closely with data scientists, software engineers, and product teams to develop and deploy synthetic data solutions.

Research: Stay updated with the latest developments in computer vision and synthetic data generation techniques.

Model Evaluation: Test and evaluate the performance of models, ensuring they meet the required standards before deployment.

Optimization: Work on improving the efficiency, scalability, and stability of computer vision systems.

Documentation: Clearly document methodologies, processes, and results to ensure reproducibility and knowledge sharing.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a focus on Machine Learning or Computer Vision.

Proven experience in developing machine learning models for computer vision tasks, specifically in synthetic data generation.

Strong proficiency in Python and familiarity with machine learning libraries like TensorFlow, PyTorch, and OpenCV.

Experience with GPU programming and optimization.

Excellent problem-solving abilities and attention to detail.

Mandatory: US Citizenship.

Preferred: Existing security clearance or the ability to obtain one.

We are seeking a skilled and experienced Machine Learning expert, proficient in developing Generative AI applications using LangChain. The primary objective of this project is to construct a robust question-answering solution that delivers descriptive and accurate responses based on the structured tabular data hosted on our data portal.

This portal hosts diverse datasets across numerous domains, available either as files on S3 or as database tables on Postgres. A service is already available that can run SQL queries on these and deliver responses via a REST API.

The project deliverables are as follows:

1. Enable answers to user queries based on a single dataset available as a file.

2. Enable answers to queries requiring data across multiple datasets available as files.

3. Enable answers to queries that necessitate merging multiple datasets available as database tables.

4. Enable answers to queries based on data available across the entire data portal.

The solution can either build on top of LangChain or any other robust alternative the freelancer may suggest. We are open to exploring the creation of a fine-tuned model with our data on top of open source LLMs.

Collaboration:

We anticipate this project to be completed within a 3-month timeframe. While we encourage the selected freelancer to work independently, regular collaboration sessions with our internal team are essential to stay aligned with our expectations and requirements.

Future Opportunities:

Should the project's execution meet our standards, there may be potential for more work in the future, including maintenance and further enhancements to the application.

Required Experience:

The freelancer should have:

1. Solid experience in Machine Learning and Generative AI applications.

2. Proficiency in LangChain Framework.

3. Familiarity with SQL and working with structured datasets.

4. Preferably, past experience building similar question-answering systems.

5. Python & FastAPI expert

References:

Free datasets for your reference on our data portal: https://dataful.in/datasets/?page=1&type=2

We are seeking a skilled and experienced Machine Learning expert, proficient in developing Generative AI applications using LangChain. The primary objective of this project is to construct a robust question-answering solution that delivers descriptive and accurate responses based on the structured tabular data hosted on our data portal.

This portal hosts diverse datasets across numerous domains, available either as files on S3 or as database tables on Postgres. A service is already available that can run SQL queries on these and deliver responses via a REST API.

The project deliverables are as follows:

1. Enable answers to user queries based on a single dataset available as a file.

2. Enable answers to queries requiring data across multiple datasets available as files.

3. Enable answers to queries that necessitate merging multiple datasets available as database tables.

4. Enable answers to queries based on data available across the entire data portal.

The solution can either build on top of LangChain or any other robust alternative the freelancer may suggest. We are open to exploring the creation of a fine-tuned model with our data on top of open source LLMs.

Collaboration:

We anticipate this project to be completed within a 3-month timeframe. While we encourage the selected freelancer to work independently, regular collaboration sessions with our internal team are essential to stay aligned with our expectations and requirements.

Future Opportunities:

Should the project's execution meet our standards, there may be potential for more work in the future, including maintenance and further enhancements to the application.

Required Experience:

The freelancer should have:

1. Solid experience in Machine Learning and Generative AI applications.

2. Proficiency in LangChain Framework.

3. Familiarity with SQL and working with structured datasets.

4. Preferably, past experience building similar question-answering systems.

5. Python & FastAPI expert

References:

Free datasets for your reference on our data portal: https://dataful.in/datasets/?page=1&type=2

We are looking for a Machine Learning Engineer who is proficient in Python and has experience in developing and deploying machine learning solutions for various business problems.

Responsibilities:

• Design, develop, and deploy machine learning models and pipelines using Python, TensorFlow, PyTorch, Scikit-learn, or other frameworks and libraries.

• Perform data analysis, preprocessing, feature engineering, and model evaluation using Python, Pandas, NumPy, Matplotlib, or other tools.

• Collaborate with other engineers, data scientists, product managers, and stakeholders to understand the business requirements and deliver high-quality solutions.

• Research and explore new machine learning techniques, methods, and applications to improve the existing solutions or create new ones.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field.

• 3+ years of experience in machine learning and python scripting.

• Strong knowledge of machine learning concepts, algorithms, and frameworks.

• Proficient in Python and its libraries for data manipulation, analysis, visualization, and machine learning.

• Experience in developing and deploying machine learning models and pipelines using cloud platforms such as AWS, Azure, or Google Cloud.

• Experience in working with various types of data sources and formats, such as CSV, JSON, XML, SQL, NoSQL, etc.

• Experience in using version control tools such as Git or SVN.

• Excellent communication and problem-solving skills.

Summary: We are a new startup in the early stages, seeking talent to help us in the early phases with an opportunity to become a part of this exciting startup long term. We are ex-Amazon from the Seattle area, with 6+ years working at Amazon previously.

We are seeking a highly motivated and skilled Operations Research Scientist to join our team. This role involves applying advanced analytical and mathematical techniques to solve complex business problems and optimize operational processes. The ideal candidate will have a strong background in operations research, data analysis, and modeling.

Responsibilities:

Problem Solving: Use mathematical models, statistical analysis, and optimization algorithms to address challenging operational problems and make data-driven decisions.

Data Analysis: Collect, clean, and analyze large datasets to extract valuable insights and trends that can improve operational efficiency.

Model Development: Develop and maintain mathematical models, simulations, and forecasting tools to support decision-making processes.

Optimization: Apply optimization techniques to optimize resource allocation, supply chain logistics, and other operational processes.

Collaboration: Collaborate with cross-functional teams, including engineers, data scientists, and business stakeholders, to implement research findings into practical solutions.

Research: Stay up-to-date with the latest advancements in operations research, machine learning, and data science to continuously improve methodologies and tools.

Documentation: Document research methodologies, findings, and recommendations for internal and external audiences.

Qualifications:

Ph.D. or Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related field.

Strong proficiency in mathematical modeling, statistics, and optimization algorithms.

Proficiency in programming languages such as Python, R, or MATLAB.

Experience with data manipulation and analysis using tools like SQL, Pandas, or NumPy.

Excellent problem-solving and critical-thinking skills.

Strong communication skills to convey complex findings to non-technical stakeholders.

Ability to work independently and as part of a collaborative team.

Previous experience in operations research, supply chain optimization, or related fields is a plus.

Overview

We are seeking a highly skilled and experienced Enterprise AI SaaS Development Specialist to join our innovative technology company. In this role, you will work on cutting-edge AI-powered SaaS solutions designed to solve complex challenges in the enterprise space. If you have a strong track record in developing robust, scalable, and intelligent software solutions, we’d like to hear from you.

Responsibilities

Design and develop scalable, robust and high-performance SaaS solutions incorporating AI and machine learning algorithms.

Work closely with product managers, UX/UI designers, and data scientists to translate business requirements into software specifications.

Implement cloud-based architectures suitable for enterprise-level applications.

Ensure the technical feasibility of UI/UX designs and optimize application for maximum speed and scalability.

Develop APIs and services to integrate the solution with third-party systems and data sources.

Lead and participate in code reviews to maintain a high-quality codebase.

Conduct end-to-end testing to ensure robustness, reliability, and scalability.

Prepare technical documentation including but not limited to architectural diagrams, API documentation, and system workflows.

Collaborate with sales and customer support teams to understand client needs and tailor solutions accordingly.

Stay updated with emerging technologies and apply them to active development projects where applicable.

Qualifications

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

5+ years of experience in software development, with at least 2 years focused on SaaS applications.

Strong experience with AI/ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.

Extensive knowledge of cloud computing platforms like AWS, Azure, or Google Cloud.

Proficiency in multiple programming languages such as Python, Java, C++, or Node.js.

Strong understanding of RESTful API development and integration.

Familiarity with modern front-end technologies (React, Angular, Vue) is a plus.

Excellent communication skills, both verbal and written.

Ability to work well in a team as well as independently.

Payment & Duration

Payment terms: Negotiable based on experience and skills

Duration: Long-term project, 6-12 months with the possibility of extension

How to Apply

If you meet these qualifications and are interested in this opportunity, please submit your application including:

Resume/CV.

Cover letter explaining your relevant experience.

Code samples or links to repositories showcasing your work.

References from past projects in a similar field.

We look forward to receiving your application and discussing how you can help bring our innovative solutions to the enterprise world.