Top Machine Learning Jobs

Position: Artificial Intelligence Expert for Flavor Application

We are seeking a highly skilled professional in the field of Artificial Intelligence to spearhead the development of a sophisticated tool capable of generating flavor profiles through the utilization of extensive datasets derived from the flavor industry. The primary objective of this role is to facilitate the analysis of these datasets, discern prevailing trends, and subsequently formulate novel flavor profiles based on the existing information. The ideal candidate will possess a profound comprehension of artificial intelligence and machine learning algorithms, coupled with a proven track record of working with substantial datasets. Moreover, a comprehensive understanding of the flavor industry and familiarity with diverse flavor profiles is a prerequisite. Key responsibilities will encompass meticulous data analysis, algorithm development, and software implementation.

If this Flavor Generating tool is proficient. There is an opportunity for a long-term arrangement or potential employment within an established company in the category.

ELI5: Preface: We need to create an AI tool that will be able to create new formulations.To accomplish the goal, candidate will be using the provided existing data and as many other datasets in the public domain. Then result being an interface/agent that would allow for flavorists to input desired flavor profiles and the agent yielding specific formulations through analyzing the highly detailed and time-tested set of data.

We are looking for a skilled AI developer to create a scrapping tool using AI. The tool should be able to extract data from various sources and websites automatically. The main goal is to collect relevant information for analysis and research purposes. The ideal candidate should have a strong background in artificial intelligence, data extraction, and web scrapping. They should also be proficient in programming languages such as Python and familiar with AI libraries and frameworks. Experience with natural language processing and machine learning algorithms is a plus.

Relevant Skills:

- Artificial Intelligence

- Data Extraction

- Web Scrapping

- Python

- Natural Language Processing

- Machine Learning

We are seeking an experienced AI developer to create a scalable solution for solving reCAPTCHA v2 and v3 challenges. The ideal candidate will have a deep understanding of machine learning, computer vision, and web scraping techniques. This project aims to develop a robust and efficient system that can automatically solve reCAPTCHA challenges with high accuracy.

Responsibilities:

Design and implement an AI-based system to solve reCAPTCHA v2 and v3 challenges in less than 10 seconds on average.

Ensure the solution is scalable and can handle a large number of requests simultaneously.

Optimize the solution for speed and accuracy.

Collaborate with our development team to integrate the solution into our existing systems.

Stay updated with the latest changes in reCAPTCHA and adjust the solution accordingly.

Ensure the solution adheres to ethical guidelines and does not violate any terms of service.

Requirements:

Proven experience in machine learning and computer vision.

Familiarity with reCAPTCHA v2 and v3 and their underlying mechanisms.

Strong programming skills in Python or a similar language.

Experience with web scraping and automation tools.

Strong problem-solving skills and the ability to work independently.

Excellent communication skills.

Nice to Have:

Previous experience in developing CAPTCHA solvers.

Knowledge of cloud platforms and deployment strategies.

Familiarity with ethical considerations in AI.

Terms:

This is a contract position.

Payment will be based on milestones achieved.

Confidentiality agreement will be required.

Looking for an agency with specialization in data science and Machine Learning.

We have public data and public ML models. We need to:

- Analyze and understand the public data

- Analyze and understand the public code that is already written to train an ML model (on the public data)

- Tweak the code to:

○ Continue training on additional data that we have

○ Have additional parameters as input

○ Be used in production

Hiring Rules:

- More details will be provided when shortlisted

- You will need to provide a breakdown and time estimate based on the given details

- Milestone-based contract will be used upon hiring

We are seeking the hands-on and dedicated support of a very experienced Geospatial Data Scientist who is familiar with satellite image analytics platforms plus computer vision, especially Planet.com or other free platforms like Google Earth to address some of the issues mentioned below:

1.Satellite image time series - dynamic analysis of the way a community has evolved over time- through a usable, interactive and engaging interface ). E.g https://hal.science/hal-01931475/file/pub00059028.pdf and https://www.sciencedirect.com/science/article/abs/pii/S0303243418304781

2. Simplified geospatial data and insight visualisation on Google Map e.g., crime reporting in a location. Example at https://www.essex.police.uk/area/your-area/essex/colchester/colchester-town-east/social-media/crime-map

3. Understanding patterns of degradation and vegetative evolution at settlement levels using satellite images and basic computer vision algorithms.

4. Automated individual human dwelling detection/ extraction based on object morphology, template matching, and machine learning. Example at https://www.blog-datalab.com/home/detecting-human-settlements-from-satellite-images-using-computer-vision/

5. Geo-informed social risk indicators e.g. Flooding – Example at https://www.unglobalpulse.org/microsite/pulsesatellite/

6. Ability to generate automated individual dwelling extraction based on object morphology, template matching and machine learning.

7. Ability to overlay satellite images with pre-labelled coordinate-based point of interest and mobility datasets for richer insight.

Job Description:

Are you a skilled Data Scientist with a passion for transforming raw data into actionable insights? We are seeking a talented individual to join our team as a Data Scientist specializing in sales analytics. In this role, you will play a key part in analyzing sales data and generating comprehensive reports that provide valuable insights into brand, category, and product performance across various attributes such as size, style, color, and category.

Responsibilities:

Data Analysis: Collect, clean, and preprocess large datasets of sales data from various sources.

Performance Evaluation: Analyze sales data to assess the performance of brands, categories, and products, considering attributes like size, style, color, and category.

Statistical Modeling: Apply statistical and machine learning techniques to identify trends, patterns, and correlations within the data.

Data Visualization: Create informative and visually appealing reports and dashboards using tools like Tableau, Power BI, or other data visualization platforms.

Predictive Modeling: Develop predictive models to forecast sales trends and recommend strategies for improvement.

Recommendations: Provide actionable insights and recommendations to inform marketing, inventory, and product development strategies.

We are seeking an experienced Machine Learning Engineer to develop an algorithm capable of reading unstructured PDFs for IC components. The aim is to extract pinout (pin description) tables and other relevant data from IC datasheets and convert it into a structured schema. Example datasheets are attached.

This will involve OCR for text extraction, and applying text analysis tools to recognize key elements like tables, sections, and specific terms, as well as data categorization and structuring methods.

The development may also involve fine-tuning of a local LLM based on the structured data to accurately interpret and respond to queries by interacting with the database.

Use of GPT4 or similar is not permitted. This will be for a locally hosted application.

Responsibilities:

Data Analysis: Understand the typical format of integrated circuit datasheets to identify key data points.

Algorithm Design: Develop an ML algorithm that can read and understand unstructured PDFs.

Data Extraction: Implement techniques to extract tables, texts, and other required data fields.

Data Structuring: Convert the extracted data into a structured schema for further use.

Testing: Rigorously test the algorithm to ensure high accuracy and reliability.

Skills Required:

Strong experience with Machine Learning algorithms, particularly in Natural Language Processing.

Proficiency in Python and libraries such as TensorFlow, PyTorch, or scikit-learn.

Experience with PDF data extraction tools like PyPDF2 or pdfplumber.

Strong understanding of data structuring and database management.

Excellent problem-solving skills.

Experience with version control systems like Git.

Strong documentation and communication skills.

Experience with AutoVizFlow toolset

Selection Criteria:

Relevant work experience and examples.

Technical interview.

Shortlisted candidates may be asked to perform a test task.

Job Description:

We are seeking a talented and experienced AI Engineer or ChatGPT Expert to join our team. We are dedicated to pushing the boundaries of AI and natural language understanding. If you are passionate about AI, have a strong track record of delivering high-quality solutions, and want to work on exciting projects, we want to hear from you!

Key Responsibilities:

- Develop and maintain AI-driven chatbots and conversational agents using ChatGPT and related technologies.

- Design, implement, and optimize natural language processing (NLP) algorithms.

- Collaborate with cross-functional teams to integrate AI solutions into existing products or platforms.

- Continuously research and experiment with state-of-the-art AI techniques and technologies.

- Troubleshoot, debug, and improve the performance of AI models and chatbot systems.

Requirements:

- Proven experience in AI engineering, natural language processing, and chatbot development.

- Proficiency in AI frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.

- Strong programming skills in languages like Python and Java.

- Solid understanding of machine learning, deep learning, and NLP concepts.

- Knowledge of GPT-3 or ChatGPT models is a significant advantage.

- Ability to work independently and collaborate effectively with team members.

- Strong problem-solving skills and attention to detail.

- Excellent communication and documentation skills.

We are seeking a skilled Computer Vision/Machine Learning Model Developer to join our team and build a model for our AI software product MVP. The successful candidate will be responsible for designing and implementing a computer vision/machine learning algorithm that can accurately analyze and interpret visual data. The ideal candidate should have experience in computer vision, machine learning, and deep learning techniques. Key skills required for this role include:

- Computer vision

- Machine learning

- Deep learning

- Data analysis

- Python programming

This is a medium-sized project with an expected duration of 1 to 3 months. We are looking for an expert-level developer who can deliver high-quality results within the given timeframe.

We are working off of a prototype software proposed as an academic project (we have documentation on how it was built), and looking to expand and innovative on the core capabilities proposed to become a true product and not simply an experiment.

Demand forecasting pipeline for an real world project

Looking for an experienced engineer in Time-Forecasting and using Tree based models for predicting demand forecasting

This may lead to a dynamical pricing tool for the project but the first milestone is first POC a demand baseline.

**Objective:**

The AI Knowledge Engineer is responsible for designing, building, and optimizing the knowledge base and algorithms that power artificial intelligence systems. This role plays a crucial part in shaping AI's ability to understand, reason, and interact with data and users effectively.

**Responsibilities:**

1. **Knowledge Acquisition and Structuring:**

- Collaborate with domain experts to collect and structure domain-specific knowledge.

- Develop ontologies and knowledge graphs to represent knowledge hierarchies and relationships.

2. **Data Collection and Annotation:**

- Curate and preprocess data for training AI models, including text, images, and other data types.

- Annotate data to create labeled datasets for machine learning.

3. **Algorithm Development:**

- Design and implement AI algorithms and models for tasks such as natural language processing, image recognition, and data analysis.

- Choose appropriate machine learning or deep learning techniques.

4. **Knowledge Representation and Integration:**

- Develop representations for AI to understand and reason about structured and unstructured data.

- Integrate knowledge representations with AI models.

5. **Natural Language Processing (NLP):**

- Apply NLP techniques to extract insights and meaning from textual data.

- Develop conversational agents, chatbots, or question-answering systems.

6. **Knowledge Base Development:**

- Build and maintain knowledge bases that AI systems can access for information.

- Implement structured data storage and retrieval mechanisms.

7. **AI Training and Testing:**

- Train AI models using labeled datasets and fine-tune models for specific tasks.

- Test and evaluate AI system performance and address any issues or inaccuracies.

8. **Collaboration with AI Developers:**

- Collaborate with AI developers and data scientists to integrate knowledge into AI applications.

- Assist in the deployment and testing of AI solutions.

9. **Knowledge Maintenance:**

- Regularly update and expand knowledge bases to ensure data accuracy and relevance.

- Identify and address knowledge gaps and inconsistencies.

10. **Ethical AI and Bias Mitigation:**

- Ensure AI systems adhere to ethical guidelines and address bias in data and algorithms.

- Implement fairness and transparency in AI decision-making.

**Qualifications:**

- Bachelor's or Master's degree in computer science, artificial intelligence, or a related field.

- Proven experience in AI knowledge engineering, natural language processing, and machine learning.

- Proficiency in AI development tools, frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python).

- Strong problem-solving and analytical skills.

**Reporting:**

The AI Knowledge Engineer may report to an AI Development Manager, Chief AI Officer, or relevant department head and collaborate closely with AI development teams.

**Duration:**

This scope of work outlines the ongoing responsibilities of the AI Knowledge Engineer as a key role within the AI development practice.

**Evaluation:**

Performance will be evaluated based on the successful structuring and management of knowledge for AI systems, improvements in AI system accuracy and performance, and contributions to ethical and unbiased AI development.

We are seeking a talented and innovative Chatbot Developer to join our team. As a Chatbot Developer, you will be responsible for designing, developing, and implementing intelligent chatbot solutions that enhance our customer experience. You will collaborate with cross-functional teams to understand business requirements, design conversational flows, and integrate the chatbot with various platforms and systems.

Responsibilities:

Design and develop intelligent chatbot solutions to meet business requirements and enhance customer experience.

Collaborate with stakeholders to understand their needs and translate them into conversational flows and dialogues.

Build and integrate chatbots with various platforms and systems, such as websites, mobile apps, and messaging platforms.

Implement natural language processing (NLP) and machine learning algorithms to improve chatbot capabilities and user interactions.

Test, debug, and optimize chatbot performance to ensure seamless functionality and user satisfaction.

Monitor and analyze chatbot usage data to identify areas for improvement and implement enhancements accordingly.

Stay updated with industry trends and advancements in chatbot technologies to suggest innovative ideas for continuous improvement.

Requirements:

Proven experience as a Chatbot Developer or in a similar role.

Strong programming skills in languages such as Python, Java, or JavaScript.

Familiarity with chatbot development frameworks and platforms, such as Dialogflow, Microsoft Bot Framework, or IBM Watson.

Proficient in natural language processing (NLP) techniques and machine learning algorithms.

Experience in integrating chatbots with platforms like Facebook Messenger, Slack, or WhatsApp.

Solid understanding of RESTful APIs and web services.

Knowledge of front-end technologies like HTML, CSS, and JavaScript is a plus.

Excellent problem-solving and analytical skills.

Strong communication and collaboration skills to work effectively with cross-functional teams.

If you are passionate about creating conversational experiences and leveraging chatbot technologies to enhance customer interactions, we would love to hear from you. Join our team and contribute to building cutting-edge chatbot solutions that revolutionize the way businesses engage with their customers.

To apply, please submit your resume, along with any relevant portfolio or projects showcasing your chatbot development skills.

Note: This job description is intended to give you a general idea of the responsibilities and requirements for the Chatbot Developer role. The actual responsibilities and requirements may vary depending on the specific needs of the company.

I want a data scientist to analyse the past 30-40 years historical data for the Australian property market to identify patterns and trends and ideally leading indicators for the next growth suburb.

I will provide the dataset, however, I will need someone to setup the backend to be able to analyse the data and provide the relevant results with accuracy statistics.

See attached a sample of data for the most recent month. This will be provided for every year of every month for every postcode in Australia.

You may be required to work with a colleague who is very experienced in AI and machine learning.

This may turn into a long term project for the right candidate.

You must be curious, punctual and dedicated to the role.

If you do put forward a proposal, please provide a short plan detailing key milestones, rough effort estimation and duration for each and any other requirements you may need from me (For example, daily meetings, Access to Servers, etc).

Please only apply if you're very experienced in this field and are very capable of being able to derive the outcome that I am wanting.

We have an application written in Python on applying machine learning to option markets.

The application is using random forests technique.

We would like this application to be reviewed.

We provide a CV assessment and optimization service that leverages Al technology to evaluate and enhance resumes.

However, we are currently encountering issues related to inconsistencies in the information provided by job seekers during the CV review and rewriting process.

We are actively seeking solutions to address this challenge with ChatGPT's output. We are in need of an individual with a deep understanding

of ChatGPT to help us overcome these discrepancies effectively.

Software Developer (AI & FinTech)

About Us:

We are a forward-thinking company aiming to revolutionize the credit repair industry. We are seeking a skilled and innovative software developer to join our team and help create a groundbreaking software product that will empower individuals to repair, build, and establish personal and business credit.

Responsibilities:

Design, develop, and implement a user-friendly software application for credit repair and building.

Incorporate AI in the credit repair process for efficiency and accuracy.

Develop features allowing clients to partner with local realtors or lenders post-credit repair.

Create a registration portal for realtors and lenders to join our platform as power partners.

Integrate functionality to pull credit reports and provide credit report audits.

Implement features for prequalifying users for funding.

Requirements:

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

Proven experience in software development.

Familiarity with AI and machine learning concepts.

Experience in FinTech or related fields is highly desirable.

Strong knowledge of programming languages like Python, JavaScript, or Java.

Excellent problem-solving skills.

Ability to work collaboratively with a team.

Strong communication and project management skills.

What We Offer:

Competitive salary and benefits package.

The opportunity to make a significant impact on an innovative product.

A collaborative and inclusive work environment.

If you're a tech-savvy professional with a passion for financial empowerment, we'd love to hear from you. Please apply with your resume and a brief description of a project you've worked on that you're particularly proud of.

Note: We respect all Covid-19 health and safety measures. Currently, our team is working remotely.

EOE/M/F/V/D. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

We are excited about the possibility of you joining our team!

robinsyourway.com

We need a machine learning expert to fine-tune open-source LLM models such as Llama 2 and compare the results to fine-tuned GPT models from OpenAI. The final model will be used to generate private content for patients. Hence, the privacy and security of the model is a major concern. The training data contains more than 1,000 1-2 pages of documents generated manually for patients with specific issues.

List your previous projects which may showcase your capabilities for this project. This can lead to long-term collaboration for our upcoming projects.

Hi!

I am looking for someone to design a platform for federated machine learning. The model will connect with cell phone and train on the user browsing history, communication etc and intern user will be rewarded with the money for sharing the data.

We are seeking a talented and experienced Remote Lead AI Data Scientist to join our team on a full-time basis. Our company provides custom AI development services, and we need someone who is strong in Python and has experience working in a senior role at custom development agencies.

As a Lead AI Data Scientist, you will be responsible for developing and implementing custom AI solutions for our clients. This role requires someone with extensive experience in Python, and who has a solid background in custom development agencies. You will also be expected to work in a senior role and contribute to the overall success of the company.

Why this is an amazing opportunity:

- Opportunity to grow. Joining our team offers the opportunity to be part of a rapidly growing business department. With a total of 15 employees, we have established a dynamic and thriving work environment. Moreover, our experience of successfully running this business model for over 6 years ensures stability and a proven track record of success.

- Freedom. The position is fully remote (work from home, a co-working space, a café, etc.).

- Autonomy. As long as you’re executing our processes properly, you won’t be micromanaged.

- Fairness. We value open communication, directness, and transparency. We want the collaboration with our full-time freelancers to be a win-win for both sides.

- Passion and purpose. Work with a passionate team that really cares about doing quality work and helping clients to make their businesses grow.

- Quality. We place a big emphasis on providing high-quality service and actually getting people results. Before taking on new clients, we set realistic expectations and make sure that they understand the relationship they’re going into.

- A winning culture. We focus on sustainable, optimal growth instead of just growing as fast as possible.

- You will face a rational, honest, and friendly culture with a high focus on achievement. This is not for everyone. We’ve found that a lot of people do not like direct feedback about improvement areas or to have pressure to achieve specific things. However, some people understand the long-term benefits of this and value it accordingly.

- We want you to perform your best and will be completely transparent with all information.

- Competitive salary (depending on your level of experience).

Requirements:

- 2 years of machine learning engineering experience

- 3 years of AI data science experience

- At least 1 year of management experience

- Ability to work independently and meet deadlines

- Strong communication and problem-solving skills

- This is a full-time job opportunity with 40 hours/week workload

- Compensation: We offer a very high compensation based on your experience

We seek developers with experience in AI chatbot creation using GPT-4 . The chatbot should integrate with web and mobile applications and excel in natural language processing.

Proposals should detail machine learning model training, data needs, and the chatbot's self-learning abilities. Insights into multi-language support, scalability, CRM system integration, API compatibility, and security measures are essential. Data encryption and user privacy measures should be addressed.

Include examples of past projects with GPT-3, Bard, or TensorFlow. Provide a timeline for development, deployment, and post-launch support. Outline training for our team. Please detail the pricing structure for setup, maintenance, and updates.

Please add "Plane" at the beginning of your proposal.

We are looking for a senior developer specialized in AI who has the following technical knowledge:

- TensorFlow

- ChatGPT

- Machine learning

- Knowledge of other AIs will be valued.

- Python

- Angular

-Laravel

-MySQL

We are a consulting Company speciliazed in digital marketing with more than 10 years of data gathered from own brands and competitors that we would like to use in order to apply AI and developed several features sucha as:

Our IA can obtain learnings about the contents on platform like this situations:

- The Best formats that improve the engagement kpi.

- More attractive content based on the channel's target.

- Detect pain points in formats, contents or markets.

- The data analysis must be contextualized according to the sector, market competitors, target and seasonality.

TRENDS

Creation of predictive models that allow us to see the evolution of the sector, client and competitors over time to be able to predict trends and anticipate it and take profit.

REPORTS

Report automatization using templates that allow generating presentations with a first phase of automated analysis that will later be reviewed and complemented by humans to improve the result.

The presentation will be in PPT format and will have data graphs, data insights and a summary of the learnings and trends that define the sector and the client vs. the competitors.

TAGGING POST CONTENTS

The AI must be able to understand the content of the post and tag it correctly within some tagging parameters that we will previously define in the training phase and that may vary in the future to incorporate new categories or modify the current ones.

The data will be in several languages so it’s necessary that the AI can understand it correctly.

TOPIC POST CONTENTS

Based on the content captured for each brand and sector, our AI must be able to understand and categorize it to generate a specific typology of content for each brand.

As in the previous case, the data will be in several languages so it’s necessary that the AI can interpret it correctly.

SENTIMENT ANALYSIS COMMENTS

We also capture comments about the content published on each channel, so it’s essential that our AI can understand these comments and make a sentiment analysis and group it by typology of feeling.

CONTENT POST GENERATOR

We want to offer tools that facilitate the day-to-day life of Community Managers and one of them is based on content generation.

The objective is that through a series of questions we can define the typology of the content, the type of content and the format so that the AI can generate contextualized content according to the brand, the target of the channel, the channel and the tone used by the brand.

SOCIAL MEDIA PLANNER

We want to offer an automation tool integrated with AI to generate social media plannings. The objective is that our AI can analyse the number of publications that the brand has made in a specific date range to extract the following information:

- The optimal number of monthly publications for each RRSS.

- The type of content that best suits the brand and those that have the most growth potential.

- The key dates in the regional calendars to be able to make Communications about public events or universal festivities.

- The formats that have best engagement on their channels.

IA POST IMAGE GENERATOR

We want to integrate an AI for image generation such as Midjourney to offer the possibility for brands to generate their own creatives based on the size and format requirements for each social network.

CHAT CONSULTING

We want to offer a new communication channel between the company and the brand. The main objective is to create an AI that can resolve queries related to the brand and competitors, such as:

- What are the most relevant campaigns on the market in the last quarter?

- How can I improve my position compared to my market competitors?

- What time and day is the most efficient in my sector to publish content and obtain the highest performance?

- What is the most efficient category on the market in the month of January?

- What type of content generates the greatest positive feeling in my target?

The AI will offer answers according to knowledge of the brand and their market.

All of these extracted from our Data Lake.

We are searching for an experience Upwork freelancer with many jobs completed to coach and mentor me how to be more successful on Upwork.

Role & Responsibilities:

We are seeking an experienced Freelance Data Scientist/Machine Learning Engineer to join our team. The ideal candidate will have a strong background in implementing machine learning algorithms, manipulating large datasets, and translating technical insights into actionable recommendations for a broad audience.

Key responsibilities will include:

Developing, implementing, and optimizing machine learning algorithms for our data-driven products.

Manipulating and preprocessing large datasets to prepare them for machine learning tasks.

Visualizing data and model outcomes in a manner that is clear and insightful.

Collaborating with cross-functional teams to integrate machine learning solutions into our products and services.

Presenting technical findings to non-technical stakeholders in a comprehensible manner.

Qualifications:

Proficiency in at least one programming language, preferably Python or R.

Experience with popular ML libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, etc.

Solid understanding of data structures (e.g., arrays, lists, dictionaries).

Familiarity with supervised and unsupervised learning algorithms and their implementation.

Knowledge of model performance metrics and optimization techniques.

Proven experience in creating informative plots and visualizations.

Understanding of techniques like data normalization, feature selection, and dimensionality reduction.

Experience with NLP techniques and deep learning architectures.

Ability to articulate complex technical concepts to a non-technical audience.

Knowledge of database systems and data warehousing tools.

Familiarity with testing frameworks and model validation techniques.

How to Apply:

Interested candidates should submit their resume, a brief cover letter, and any relevant portfolio/work samples to us

Artbreeder is a suite of AI powered collaborative creativity tools. It was the very first one.

Looking for an ML engineer to convert comfy UI and automatic1111 workflows into standalone python scripts.

The work should be mostly straightforward. Test the setups in comfy ui- and convert to python so they can be used in production servers.