Top Machine Learning Jobs

I am seeking a skilled data science professional to enhance and expand upon 4 existing projects. The ideal candidate will have a strong background in data science and be able to improve upon existing models, algorithms, and techniques. The main goals of this project include improving data quality, reducing errors, and increasing the accuracy of predictions while being able to communicate changes and enhancements made. The candidate should also be able to develop new models and features to enhance the functionality and performance of our existing projects. This project will involve working with large datasets, analyzing data, and implementing machine learning algorithms. The candidate will be able to take these projects and improve their usability to provide insights to industry applicable problems. I am looking to have the current GitHub files revamped to ensure reproducibility on these projects.

The four projects are:

- Amazon_Monitor_Scraper using Selenium

- Renewable Energy Investment Dashboard using R Shiny

- Hospital Readmission Rate predictive modeling

- Kaggle Ames Housing Project

The proper candidate will have proper experience including:

- Data science

- Machine learning

- Programming languages such as Python, and R

- Data visualization tools such as R Shiny

- Familiarity with technical writing and Github repositories

We are seeking a knowledgeable and experienced Computer Science Tutor to provide one-on-one tutoring sessions for my partner who is studying computing science and artificial intelligence at University. As a tutor, you will be responsible for assisting my partner in understanding and applying computer science concepts and principles. This role requires excellent communication skills and the ability to explain complex topics clearly and concisely. The ideal candidate should have a strong background in computer science and be familiar with programming languages such as Java, Python, or C++ and be familiar with AI machine learning and deep learning.

Responsibilities:

- Provide personalized tutoring sessions

- Explain computer science concepts and principles

- Assist with homework and assignments

- Help students develop problem-solving skills

- Offer guidance and support

Requirements:

- Strong knowledge of computer science

- Proficiency in programming languages such as Java, Python, or C++

- Excellent communication skills

- Previous tutoring or teaching experience

We are a pioneering company specializing in audio-focused data collection. We are committed to building high-quality datasets that are integral for training advanced machine learning models. Our mission is to empower the future of sound technology through innovative data solutions. We are currently seeking a talented Data Scientist who shares our passion for training models on audio data and its shaping of the technological landscape.

Key Responsibilities:

Lead initiatives to process, and analyze audio datasets.

Design and develop methodologies for enhancing the quality and diversity of audio data collection.

implement best practices in audio data gathering.

Utilize machine learning techniques to create models that can effectively learn from our unique audio datasets.

Project Overview:

We're seeking a highly skilled machine learning engineer to fine-tune and deploy a large language model (LLM) for our innovative cybersecurity platform. This project involves advanced LLM integration and optimization for specific tasks within our platform.

Required Skills and Experience:

Proven experience: Fine-tuning and deploying LLMs (ideally GPT-3 or Grover) for complex tasks.

Solid understanding: Machine learning concepts, AWS services (SageMaker, EC2, etc.), and cloud deployment principles.

Expertise: Data pre-processing, annotation, prompt engineering, and transfer learning techniques.

Proficiency: Programming languages (Python, preferred), machine learning libraries (Hugging Face Transformers), and cloud platforms (AWS).

Communication: Excellent written and verbal communication skills for collaboration with security and engineering teams.

Project Scope:

Fine-tuning:

Analyze LLM capabilities and choose the best model for our platform's specific tasks.

Preprocess and annotate relevant data for LLM training.

Design and implement prompts to guide the LLM towards desired functionalities.

Fine-tune the LLM using appropriate techniques to optimize performance for our platform.

Testing:

Develop a comprehensive testing plan to evaluate the LLM's performance on various tasks and scenarios.

Implement unit and integration tests for the LLM and its integration with our platform.

Analyze and refine the LLM based on test results to ensure accuracy and reliability.

Deployment:

Design and implement the LLM deployment architecture on AWS using appropriate services (e.g., SageMaker, EC2).

Integrate the LLM seamlessly with our existing cybersecurity platform and security tools.

Develop documentation and training materials for internal teams using the LLM.

Join Our Dynamic AI Development Team – Full-Time AI Developer Position Available!

About Us:

We are an innovative AI development company, a close-knit team of four professionals. Our clientele is global, with a strong focus in the USA. We're passionate about delivering cutting-edge solutions in AI, and we're looking for someone who shares our enthusiasm!

The Role:

We are on the hunt for a passionate and skilled Full-Time AI Developer. Your main focus will be Python programming and AWS technologies. You'll have the exciting opportunity to work on state-of-the-art projects, including advanced chatbots and computer vision solutions.

What We Offer:

Immediate Start: We're ready to get you on board as soon as possible!

Flexible & Stable Work: This is an open-ended position with a fixed hourly rate. We expect a commitment of at least 30 hours per week.

Global Collaboration: You must be available for meetings Monday to Friday during NYC time zone (UTC-5). This offers a unique opportunity to interact with an international team.

Direct Access to Leadership: You'll be reporting directly to the CEO, allowing for scheduled meetings and direct feedback.

Growth Opportunities: Being part of a small team means you'll have significant impact and opportunities for professional growth.

Application Process:

To apply, please submit the following:

- Your updated CV

- A portfolio showcasing your projects and experience

- Letters of recommendation

- Join us in shaping the future of AI technology. We can't wait to see what you bring to our team!

Data mining is the process of discovering patterns, trends, and insights from large datasets. It involves using statistical and machine learning techniques to extract valuable information from raw data. The goal of data mining is to uncover hidden patterns and relationships that can be used to make informed business decisions, improve processes, and gain a competitive advantage. Data mining can be applied to a wide range of industries, including finance, healthcare, marketing, and retail. It involves several steps, including data collection, data preprocessing, model building, and evaluation. Data mining can also involve the use of visualization tools to help analysts better understand the data and communicate insights to stakeholders.

Experienced Course Creator Needed for Comprehensive ChatGPT & AI Tools Online Course

Job Description:

We are seeking a highly skilled and experienced course creator to develop a comprehensive online course titled "ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4, ChatGPT Plugins + 25 Powerful AI Tools to 10x Your Productivity & Creativity". This course, to be hosted on Udemy, is aimed at individuals looking to enhance their skills in ChatGPT, Generative AI, and Prompt Engineering.

Key Responsibilities:

Develop a detailed and engaging course curriculum based on our provided outline and reference material.

Create high-quality video content, presentations, and supporting materials.

Integrate practical examples and real-world applications of ChatGPT and AI tools.

Ensure the content is accessible to a range of learners, from beginners to advanced users.

Work closely with our team to align the course with our educational goals and standards.

Qualifications:

Proven experience in creating online courses, specifically in the fields of AI, machine learning, or related technologies.

Strong understanding of ChatGPT, AI tools, and prompt engineering.

Excellent presentation and communication skills.

Ability to convey complex concepts in a clear and engaging manner.

Previous work samples or a portfolio of similar projects.

Project Requirements:

The course should be approximately 4.5 hours in length.

The project needs to be completed as soon as possible, with a focus on high quality.

Successful delivery of this project with high quality may lead to continuous projects in the future.

Ownership and Rights:

Please note that all content created for this course will be the exclusive property of Distk Technologies. The creator will relinquish all rights to the content upon completion and payment.

Application Process:

Interested candidates should apply with their portfolio or examples of similar projects they've completed. To confirm that applicants have read the entire job description, please include the phrase "Let's Build" in your application. Applications without this phrase will not be considered.

Machine learning expert needed for guided support on tasks and theory of machine learning using Python. You should be proficient in statistics, python and explain the concepts aswell as their application to a variety of contexts.

You should be confident with the following topics:

Introduction to Machine Learning, Statistics for Machine Learning, Generalisation Theory and the Bias–Variance Tradeoff, Evaluating Predictive Performance, Advanced Topics in Performance Evaluation, Nearest Neighbour Methods, Decision Trees, Naïve Bayes, Bayesian Optimisation, Logistic Regression, Support Vector Machines, Unsupervised Learning, Principal Component Analysis, Introduction to Deep Learning, Neural Networks, Hyperparameters, Transparency and Interpretability, Convolutional Neural Networks, Biological Basis for Convolutional Neural Networks, Reinforcement Learning, Hyperparameter Tuning,

We are seeking an AI Software Developer with a strong background in Data Science and machine learning. As an AI Software Developer, you will be responsible for designing and implementing AI-based solutions that enhance our software products. This position requires expertise in developing AI algorithms, analyzing large datasets, and creating predictive models. The ideal candidate should have a deep understanding of machine learning techniques and be proficient in programming languages such as Python or R. If you have a passion for AI and want to contribute to cutting-edge projects, we would love to hear from you.

Skills required:

- AI development

- Data Science

- Machine Learning

- Algorithm design

- Big data analysis

- Predictive modeling

- Python

- R

I produce the Data Skeptic podcast. Our focus is on topics like machine learning and artificial intelligence. Our current season focuses on artificial intelligence. In contrast, we plan to do a series of 8-10 episodes on the topic of animal intelligence.

Our program is an interview show. We need help researching and identifying ideal guests to invite to be interviewed on the show. Data Skeptic is about taking to true researchers and scientists, not CEOs and PR people.

I'm looking for someone with an academic background in biology, ethology, animal behavior, zoology, animal cognition, or similar.

In this role, you'd be advising me on the content for the podcast, advise me on this topic that's a bit outside my wheelhouse, and helping identify key research papers to feature, and thus guests our coordinator should reach out to.

I would like this role to include a weekly meeting and time in between for you to do research and follow up.

We are seeking a skilled developer to create and implement chatbot and voice bot solutions for our company. The ideal candidate will have experience with natural language processing and machine learning algorithms. Responsibilities will include designing and developing conversational flows, integrating with third-party APIs, and optimizing bot performance. The successful applicant should have a strong understanding of chatbot and voice bot technologies, excellent problem-solving skills, and a creative mindset. Knowledge of platforms such as Dialogflow, IBM Watson, or Amazon Lex is highly desirable.

We are looking for a skilled developer to help us create an AI shopping assistant using Dialogflow CX. The main goal of the project is to build a chatbot that can pull information from our product catalog and website, providing customers with personalized recommendations, answering their questions, and assisting them in making purchases. The successful candidate will have experience in developing chatbots, as well as a good understanding of natural language processing and machine learning. The following skills are required:

We are looking for a freelancer to help us with machine learning data. The job requires someone who is familiar with machine learning and data science techniques. The successful candidate will be responsible for processing and preparing data for use in machine learning models. This includes tasks such as data cleaning, feature engineering, and data visualization. The ideal candidate should have a strong background in computer science or statistics and experience working with machine learning libraries such as TensorFlow or PyTorch. This is a medium-sized project expected to take under 1 month to complete. We are looking for an intermediate-level expert in machine learning and data science.

We are seeking an individual to fill the role of Hospice AI Data Engineer. In this position, you will be responsible for data management and analysis to enhance the quality of care provided in hospice settings. We are looking for machine learning to predict and trend patient statuses, based on free-text narratives and assessment question/answers.

The ideal candidate will have a strong background in AI, data science, and a basic understanding of healthcare processes, particularly in the context of hospice care. HCHB EMR background is a plus. Our data is through a SQL logship database, Azure, SSMS, and virtual machines. We would expect the individual to be able to connect across multiple platforms for a full picture of the patient's journey with the company.

- Integrate and manage diverse healthcare datasets, ensuring seamless interoperability and accessibility for AI applications.

- Implement and maintain data quality assurance processes to ensure accuracy, completeness, and reliability of product.

- Document flows and product specs at each phase.

- Stay up to date in AI, healthcare technology, and hospice care to identify opportunities for continuous improvement and innovation.

We are seeking a skilled and experienced AI Chatbot Developer and Integrator to join our team. The ideal candidate will be responsible for developing, integrating, and optimizing an AI-powered chatbot into our existing GoHighLevel account. This role requires a deep understanding of AI chatbots, API integration, and the ability to program and train the chatbot to interact effectively with our customers.

Key Responsibilities:

Develop and implement an AI chatbot solution tailored to our Insurance business needs and customer interaction style.

Integrate the chatbot with our existing GoHighLevel account, ensuring seamless communication between the chatbot and our CRM system.

Program the chatbot to understand and respond to customer queries accurately and efficiently, enhancing customer experience.

Trian the chatbot to help set up appointments and the sales process.

Train the chatbot using a dataset that reflects our business context, ensuring it can handle a wide range of customer interactions.

Collaborate with our customer service team to understand key interaction scenarios and frequently asked questions.

Continuously test and refine the chatbot’s responses and interactions based on feedback and performance data.

Ensure the chatbot adheres to privacy standards and data security best practices.

Provide technical support and training to our team members on how to use and manage the chatbot.

Qualifications:

Proven experience in AI chatbot development and integration, with a portfolio of successful projects.

Strong knowledge of API integration and back-end development.

Experience with GoHighLevel or similar CRM and marketing platforms.

Proficiency in programming languages relevant to chatbot development (e.g., Python, JavaScript).

Familiarity with machine learning, natural language processing (NLP), and AI development frameworks.

Excellent problem-solving skills and attention to detail.

Strong English communication and collaboration skills.

Role: ML Research Scientist

Location: Remote

Job Type: Full-time

What we offer:

•Work remotely

• Lots of PTO

• Monthly analysis for raises

• Healthcare insurance

• Wifi costs covered

• Unlimited Udemy courses (and books)

• and much more

About the Role:

• We are seeking a highly skilled and motivated ML Research Scientist to join our dynamic team. As an integral part of our research and development efforts, you will contribute to cutting-edge machine learning (ML) projects, driving innovation and advancing the field. The successful candidate will possess a strong academic background, a proven track record of research accomplishments, and a passion for pushing the boundaries of machine learning.

Responsibilities:

• Stay abreast of the latest advancements in the ML field and integrate novel techniques into ongoing projects.

• Lead and contribute to ML research projects with a focus on areas such as Large Language Models (LLM), optimization, and differential privacy.

• Drive the publication of research findings in reputable conferences and journals, showcasing the company's commitment to advancing the field of ML.

• Collaborate with cross-functional teams to transform research insights into practical solutions.

• Work closely with other researchers, engineers, and stakeholders to develop and implement ML models that address real-world challenges.

• Collaborate with external partners and academia to foster a culture of innovation and knowledge exchange.

Requirements:

• Proven track record of publishing research papers in top-tier conferences or journals.

• Expertise in at least one of the following: Large Language Models (LLM), optimization, or differential privacy.

• 2-3 years of hands-on experience for candidates with engineering backgrounds in LLM from recognized universities OR research experience from top-tier institutions.

• Recognized Universities: University of Waterloo, University of Toronto, MIT, Stanford, Carnegie Mellon University, Harvard, Cornell, UC Berkeley, Princeton, Caltech, UCLA, Purdue, Rice, USC, Yale, Brown, Duke, Boston University, Northeastern, Georgia Tech.

• Total professional experience should not exceed 8 years.

OKSI is currently developing several commercial and defense products using the latest AI models and accelerators. In order to maximize the accuracy and performance of these models, the company is looking for an individual skilled in mainstream machine learning frameworks as well as porting and optimizing models for specific hardware architectures.

Required Skills:

5+ years of experience in leading ML framework such a PyTorch, Tensorflow, and TFLite

Qualcomm Snapdragon Neural Processing Engine SDK (SNPE)

Model interchange formats such as ONNX and related operator support

Ability to work independently with multiple tactical and strategic project goals

Modern development principles such as Git/Gitlab/CI

Strong technical verbal and written communication ability

Bonus Skills:

Experience with Android Neural Network API (NNAPI)

Knowledge of EO/IR sensors and methodologies

Experience with sensors and control systems

Ability to get and maintain a security clearance

Interest and knowledge in next-gen ML technologies such as Mojo

I am looking for a freelancer to develop a fall detection system with machine learning and AI capabilities. The primary purpose of this system is to send notifications to caregivers/emergency services in the event of a fall.

Ideal skills and experience for this job include:

- Proficiency in Python programming language

- Strong knowledge of machine learning and AI algorithms

- Experience in developing real-time notification systems

- Familiarity with fall detection algorithms and techniques

- Ability to integrate the system with existing caregiver notification platforms

- Ability to integrate the fall detection sensors and other smart sensor capabilities into furniture

The client has specific requirements and features that they would like to be included in the fall detection system. Therefore, the freelancer should be open to suggestions and willing to discuss and implement these requirements.

This is an exciting project that aims to provide a crucial service for the safety and well-being of individuals. If you have the skills and experience in developing fall detection systems and are interested in working on this project,

We are seeking a talented AI Chatbot Developer to join our team. This freelance position involves crafting AI-powered chatbots specifically tailored for Real Estate professionals. As an AI Chatbot Developer, you will be responsible for conceptualizing, designing, developing, and implementing chatbot solutions that enhance customer engagement, streamline processes, and drive efficiency in the Real Estate industry.

Responsibilities:

Collaborate with our team to understand client requirements and objectives for AI chatbot deployment in the Real Estate sector.

Design conversational flows and user experiences that align with the needs of Real Estate professionals.

Develop and implement AI chatbots using cutting-edge technologies and platforms.

Customize chatbot functionalities to integrate seamlessly with existing Real Estate systems or platforms.

Conduct thorough testing and debugging to ensure chatbots operate flawlessly.

Provide ongoing support, maintenance, and updates to deployed chatbot solutions.

Requirements:

Proven experience in AI chatbot development, preferably within Real Estate or related industries.

Proficiency in programming languages such as Python, JavaScript, or others relevant to chatbot development.

Strong understanding of Natural Language Processing (NLP) and Machine Learning (ML) techniques.

Familiarity with chatbot development frameworks (e.g., Dialogflow, IBM Watson, Microsoft Bot Framework, etc.).

Ability to translate client needs into effective and intuitive chatbot interactions.

Excellent problem-solving skills and attention to detail.

Effective communication skills and the ability to work collaboratively in a remote environment.

Bonus Skills:

Experience in deploying chatbots on various platforms (websites, social media, messaging apps).

Knowledge of Real Estate industry processes and terminology.

Experience with API integrations for chatbot functionalities.

If you are passionate about leveraging AI technology to revolutionize Real Estate operations and meet the above qualifications, we'd love to hear from you! Please submit your resume, portfolio showcasing relevant projects, and a cover letter detailing your experience in AI chatbot development.

Note: This is a freelance position, and the selected candidate will collaborate remotely with our team. Flexible working hours and competitive compensation based on experience.

We are looking for a Azure Data Engineer (REMOTE) with 7+ years of experience. The selected candidate would work REMOTELY with our team in India during India office hours 9:30 am to 6:30 pm (5 days a week).

Our Budget: INR 1,00,000 per month

Location: REMOTE (India - 9:30 am to 6:30 pm IST)

Required Skills

•Python, SQL, data modelling, statistics, MS Azure & Databricks

• Data Repositories, e.g. MS SQL, NoSQL (MongoDB, Neo4J, Azure Cosmos)

• Partition pruning, Databricks Optimization, Catalyst Optimizer, Delta format over parquet, data at rest/transit,data ingestion

• Data compute technologies (Spark, Hadoop, HdInsights)

• Machine learning models, data mining techniques and inference algorithms such as decision trees, association rules, clustering, classification, regression, neural networks, topic models, stochastic sampling and collaborative filtering

• Deep Learning tools, e.g. PyTorch, Tensorflow, FastText, Spacy.

• Securely managing the life cycle of client data

Scope of Work Details

1. Establishment of taxpayer’s identity: Based on information available within GSTN as well as third party information, it is expected to reliably establish the identity /360-degree view of the taxpayer and key members of its management.

2. Analysis based on e-way bill, e-invoice data, and GST system data.

3. Establishment of a taxpayer’s risk profile: It is expected that the fraud analytics solution will assist in establishing the taxpayer’s risk profile and analysis of its variation over time.

This is expected to be done primarily through:

The information on purchasers and sellers as part of returns data

Risk indicators identified in the registration application and registration database.

Establishment of relationship between suspect entities (e.g.: common directors involved in fraud, single proprietor running many concerns etc.)

Trends and patterns followed by the taxpayer.

Data from other sources such as Banks, State Depts., Vahan etc.

Items dealt with sensitive or evasion prone commodities.

History of owners

Location of the firms

Rapid change of promoters

Items sold as per GSTR1 and that shown in Registration certificate.

Items sold and which are generally not stocked or sold together – Divergent commodities.

4. Identification of Fraudulent claims, immediate reporting and prevention of fraudulent cases

5. Incorporate the latest techniques such as feedback mechanism, machine learning and Artificial Intelligence for prioritization of cases and increasing the success rate

6. Strengthening the “culture of compliance” and ownership amongst the stakeholders

7. Prevention of revenue leakages: Based on Taxpayer, transactions and commodity analytics.

8. Forecasting, revenue growth and other econometric analysis for policy formation

9. Suggest changes in laws / rules / procedures based on fraud detection to plug loopholes

10. Identify material / evidence which may be shared with tax authorities for prosecution of fraudulent taxpayers.

11. Tax rate sensitivity analysis

We are seeking an experienced Machine Learning Engineer to leverage our Big data and train and deploy binary classification models for predicting a list of medical conditions. The goal is to provide valuable insights and early warnings to healthcare professionals, potentially saving lives and improving patient outcomes.

We have already the data prepared and cleaned in a structured format, and a pipeline that is ready.

Key Responsibilities:

Develop and implement machine learning models and pipelines for predictive modeling of medical conditions.

Train and fine-tune models using our rich dataset containing medical history, treatments, medications, and other relevant data.

Design algorithms to predict medical conditions occurring within specific timeframes.

Collaborate with cross-functional teams to ensure the seamless integration of machine learning models into our healthcare systems.

Optimize model performance to meet critical performance metrics.

Interpret and communicate model results to both technical and non-technical stakeholders.

Qualifications:

Proven experience in developing and deploying machine learning models, preferably in the healthcare domain.

Proficiency in programming languages such as Python and libraries like XGBOOST, Time-series, LGBM, etc.

Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.

Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Exceptional communication skills and the ability to convey complex technical concepts to diverse audiences.

Looking for an experienced MLOps engineer with a proven history of working with Azure to setup bert model training pipeline. We are developing a legal platform. We use BERT for Named Entity Recognition. We are looking to setup a training pipeline which improves accuracy of the model. For details review RFP. Kindly consider revised document - (Machine Learning pipeline of BharatLaw Revised-v1.docx)

About Us:

At micro1, we help connect the best remote developers with hand-picked Silicon Valley companies. Developers get the rate they want plus other amazing benefits. When you work with us, you get access to top Silicon Valley companies, and competitive, stable income. We have many trusted partners such as Webflow, IMX, Deel, and Ultraviolet.

What we offer:

•Work remotely

• Lots of PTO

• Monthly analysis for raises

• Healthcare insurance

• Wifi costs covered

• Unlimited Udemy courses (and books)

• and much more

About the Role:

• We are seeking a highly skilled and motivated ML Research Scientist to join our dynamic team. As an integral part of our research and development efforts, you will contribute to cutting-edge machine learning (ML) projects, driving innovation and advancing the field. The successful candidate will possess a strong academic background, a proven track record of research accomplishments, and a passion for pushing the boundaries of machine learning.

Responsibilities:

• Stay abreast of the latest advancements in the ML field and integrate novel techniques into ongoing projects.

• Lead and contribute to ML research projects with a focus on areas such as Large Language Models (LLM), optimization, and differential privacy.

• Drive the publication of research findings in reputable conferences and journals, showcasing the company's commitment to advancing the field of ML.

• Collaborate with cross-functional teams to transform research insights into practical solutions.

• Work closely with other researchers, engineers, and stakeholders to develop and implement ML models that address real-world challenges.

• Collaborate with external partners and academia to foster a culture of innovation and knowledge exchange.

Requirements:

• Proven track record of publishing research papers in top-tier conferences or journals.

• Expertise in at least one of the following: Large Language Models (LLM), optimization, or differential privacy.

• 2-3 years of hands-on experience for candidates with engineering backgrounds in LLM from recognized universities OR research experience from top-tier institutions.

• Total professional experience should not exceed 8 years.