Data Science & Machine Learning Jobs

Advanced knowledge of AI frameworks like TensorFlow, Scikit-learn, or PyTorch.. Experience with Databricks, Delta Lake, or Azure-based analytics ecosystems.. Proficiency with BI and visualization tools, such as Power BI, Qlik, Tableau, SQL Server.. Experience in machine learning algorithms, predictive modeling, and anomaly detection.. Conduct in-depth exploratory data analysis (EDA) using Python, SQL, and visualization tools to identify trends, correlations, and data quality issues.

With a commitment to innovation, the company delivers commissioning, validation, and IT services, empowering clients to achieve operational excellence through cutting-edge technologies like AI and machine learning.. Build and deploy AI / ML models using cloud platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch), ensuring alignment with business objectives.. Proficiency in programming languages such as Python, Java, or Scala, and AI / ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).. Preferred certifications : AWS Certified Machine Learning Specialty, Google Cloud Professional ML Engineer, or equivalent.. Global Practice Architect, FSI, Google Cloud

We are looking for a Machine Learning Engineer, LLM to work for our client.. Stay current with the latest research in NLP, deep learning, and generative AI, and apply findings to improve model capabilities.. 3+ years of experience in machine learning or NLP, with a strong focus on deep learning.. Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

Mandatory: AWS MLOps (Primary) Data Science Machine Learning, Python. Extensive experience and understanding of the Dataiku DSS MLOPs capability including automated deploying projects and published jobs into Production.. Experience in using core analytics methods, Predictive Modeling, Machine Learning, Simulation, and Optimization.. Expertise in a variety of machine learning and statistical techniques (clustering, decision tree learning, artificial neural networks, etc.). Understanding of the underlying data systems such as AWS Cloud architectures, PySpark, or SQL is a must.

Contrast AI is seeking a highly skilled and innovative Machine Learning Engineer / Data Scientist to join our team.. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.. Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models.. Experience with deep learning, reinforcement learning, or natural language processing.. Join the Contrast team as a Machine Learning Engineer/Data Scientist and leverage your expertise to make a lasting impact in the rapidly evolving world of AI and healthcare.

Bachelors or masters degree in computer science, Data Science, Machine Learning, or a related field. Proficiency in programming languages such as Python or R, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong knowledge of Azure cloud services, including Azure Machine Learning, Data Factory, and Cognitive Services. Familiarity with natural language processing (NLP), computer vision, or predictive analytics. Knowledge of big data technologies (e.g., Spark, Hadoop) and data pipeline development.

Octave-X's mission is to revolutionize technology by developing intelligent systems that amplify human potential. We are seeking a Machine Learning Engineer to join our team in Chicago. Experience with machine learning frameworks like TensorFlow, PyTorch, or similar. Experience with deep learning, reinforcement learning, or natural language processing. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Proficient with one or more programming languages (Python, R, Java, C. Experience working with TensorFlow, SciKit Learn, NumPy, SciPy. Experience working with NLP and BERT. Experience implementing deep learning. Experience implementing agile approach to artificial intelligence algorithm development

We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team.. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents.. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our softwares ability to accurately and efficiently process partnership accounting and tax documents.. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you.. 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects

Senior Machine Learning Scientist, NLP/LLM page is loaded. Develop innovative and practical natural language processing models and LLM agents for precision medicine.. Work with unstructured clinical notes and reports, structured electronic health record (EHR) data, imaging data, and molecular (DNA and RNA sequencing) data.. PhD or Master's degree with 3+ years of experience or Bachelor's degree with 5+ years of experience in a quantitative discipline such as computer science, artificial intelligence, machine learning, statistics, natural language processing, computational linguistics, information retrieval, computational biology, bioinformatics, applied mathematics, physics, or a related field.. Experience with medical ontologies and controlled vocabularies such as UMLS, SNOMED CT, MeSH, NCI Thesaurus, RxNorm, and HGNC.

Seeking a Machine Learning Engineer to maintain, enhance, and productionize an existing predictive model that estimates the average duration of construction jobs.. You’ll work with historical workflow data, improve model accuracy, and explore new ML opportunities once the current model is stable.. Python – strong proficiency for data manipulation & model implementation.. Applied Machine Learning – hands-on experience with regression, classification, or similar predictive modeling techniques.. Work with historical workflow data to refine accuracy and reliability.

Design and maintain fraud rules and scoring logic for transaction monitoring systems. Ensure alignment with regulatory expectations, model risk governance, and internal audit requirements. Explore and implement new technologies (e.g., graph analytics, behavioral biometrics, NLP) for advanced fraud detection. Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.. Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon, etc.)

🚀 Publish, present, and patent high-impact findings in AI and machine learning. Conduct cutting-edge research in artificial intelligence, including areas such as natural language processing, computer vision, generative models, and reinforcement learning. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred. Expertise in machine learning, deep learning, or statistical modeling. Experience with model development using TensorFlow, PyTorch, JAX, or similar frameworks

Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.. Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.. Exposure in developing API using Flask/Django.

3+ years of building machine learning models for business application experience including predictive modelling, natural language processing, and deep learning.. 2+ years of experience with cloud services related to machine learning (e.g., Amazon SageMaker) and coding with Python or R, using modern machine learning libraries and tools such as scikit-learn, TensorFlow, PyTorch. AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, VPC) and professional certifications (e.g., Solutions Architect Professional).. 5+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow.. Data Scientist, RWE Clinical Trials - Remote

The Machine Learning Engineer will have a blend of software engineering, cloud engineering, and data science expertise.. REQ: 2+ years of experience in building, training, fine-tuning and shipping machine learning, Generative AI, deep learning models into production using cloud services (e.g., Azure ML Ops, AWS Bedrock) and libraries such as TensorFlow or PyTorch. REQ: Confidence with managing code lifecycle with Azure DevOps or Github. REQ: Extensive architecture and data modeling skills required to ship products using industry-standard data and cloud technologies (e.g., AWS Glue, Apache Airflow, Databricks, Azure Data Factory); certifications are plus. REQ: Theoretical fluency and working proficiency in the application of a broad array of statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.

Inform digital strategy, website development and digital technology investments through analytics and data science applications.. Masters' or graduate degree in a quantitative field required (mathematics, statistics, engineering, data science, analytics, operations research, economics, etc.). Deep experience and expertise in statistical modeling and machine learning in-industry (regression, classification, clustering, natural language processing, time-series modeling).. Knowledge of database design and logic (e.g. Teradata, Snowflake), with demonstrable ability to build complex queries in SQL.. Preferred experience with digital commerce and web analytics tools such as Adobe Analytics or Google Analytics.

We are looking for an enthusiastic Senior GenAI and LLM Architect to add to Credera’s Data capability group.. Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.). Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation. Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation. Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, PowerBI, D3.

Adjunct Faculty in Artificial Intelligence. DePaul's Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago's Loop, the central business district of Chicago.. The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering.. Students take courses in core AI concepts and techniques and explore relevant technical areas including natural language processing, big data systems, computer vision, image processing, robotics, and cybersecurity.. We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.

We are looking for an enthusiastic Senior GenAI and LLM Architect to add to Credera's Data capability group. Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation.. Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation.. Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.