Data Science & Machine Learning Jobs

Conduct data analytics, data engineering, and statistical analysis to support informed decision-making. Develop machine learning-based tools, including recommendation engines and automated lead scoring systems. Perform statistical analysis and apply data mining techniques to build high-quality predi

Key job responsibilities Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases Developing and deploying machine learning models and generative AI applications that so

You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into

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 machine learning, deep learning, statistical methodology, and simulation/optimization mod

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

Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs. CapTech Machine Learning Engineers are responsible for designing

Experience with R&D of machine learning algorithms. Experience with R&D of spatiotemporal data modeling. Experience with R&D of machine learning algorithms.

Required Skills for Data Science/Machine Learning. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. SynergisticIT at Gartner Data & Analytics summit.

As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll be a key player in driving customer success through their AI

The Machine Learning (ML) Data Engineer position has core responsibilities for the design, development, deployment, and operational support of machine learning solutions on cloud infrastructure. We are seeking a talented Data Engineer with machine learning experience to join our team. Knowledge of d

The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation

Experience with deep learning approaches for signal processing, including CNNs, RNNs, transformers, autoencoders, contrastive learning, self‑supervised learning, or generative models. Develop and evaluate algorithms using modern machine learning frameworks such as PyTorch, TensorFlow, Keras, sciki

Current, active US Government Security Clearance of Top Secret or above Preferred Qualifications Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional,