Data Science & Machine Learning Jobs

Master's or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred. TensorFlow, PyTorch, scikit-learn, JAX, Ray, MLflow). As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge

Build a strong understanding of our current computer vision systems and data pipelines. We’re specifically looking for engineers who have built and operated computer vision or ML systems in production at scale (not just research or prototyping). DeepWalk is a fast-growing venture that helps cities

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning mod

You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into a production environment, ideally as part of product teams delivering to external customers. In this role, you will help lead the evolution of AcuityMD's core healthcare data a

Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing

As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using

Responsibilities Bring computer vision expertise and industry best practices to strengthen team capabilities Collaborate on advanced computer vision projects, particularly in face recognition and facial expression/spoofing detection Deliver on roadmap commitments while identifying innovative appr

Key responsibilities include implementing data processing solutions with Apache Spark, managing ETL pipelines, and collaborating with teams to deliver high-quality data solutions. A Bachelor's degree in computer science or a related field is required. Mphasis is seeking a highly skilled Big Data Eng

You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production‑ready systems. Type: Full-time, Remote Role Overview We’re hiring a mid‑to‑senior Machine Learning Engineer / Data Scientist

Key qualifications include 3+ years with Hadoop and familiarity with no-SQL databases. IRIS Software is seeking a Big Data developer/architect in Jersey City, NJ for a long-term engagement. The role involves integration designs with various partners and methods.

The ideal candidate will have robust development experience in Spark, Py-Spark, Shell scripting, and Hadoop. Responsibilities include writing performant code for data transformations, implementing dev-ops pipelines, and participating in Agile processes. A leading tech firm is seeking a Data Engineer

Key Responsibilities Conduct live, instructor-led online classes Deliver coding demos, assisted practices, and projects Address learner queries and ensure engagement Required Skills Natural Language Processing NLP fundamentals, tools, and libraries (NLTK) Text preprocessing, feature engineering, an

Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team Qualifications Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performa

What You Will Do Design and implement NLP pipelines for clinical text understanding Build named entity recognition systems for medical concepts Develop text classification models for healthcare documents Create information extraction systems for structured data from unstructured notes Fine-tune and

As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. PhD or Masters in Computer Science or a related field. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage

As a key member of our client's Data Science and Machine Learning team, the Databricks ML Engineer will play a crucial role in developing and implementing state-of-the-art machine learning models and algorithms to solve complex business problems. Proven experience as a Machine Learning Engineer or D

AI, Data Science, and/or Machine Learning. Master’s degree in Computer Science, Mathematics, Physical Sciences, or a quantitative field. Strong foundation in mathematics, statistics, operations research, SQL, Pandas, Spark, and deep‑learning techniques.