Data Science & Machine Learning Jobs

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Artificial Intelligence, Cloud, and Automation to support USCYBERCOM. Expert proficiency in Python, SQL, and Java; experience with LLMOps, RAG patterns, and vector databases. Synchronize AI-driven intelligence planning with operational timelines to provide actionable, real-time insights for mission

Artificial Intelligence/Machine Learning Engineer, Senior. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited. Machine Learning Engineer, you will work directly with mission users

The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives, responsible for building, scaling, and guiding a team of engineers and practitioners. Maintains strong foundational knowledge of application development, infrastructure mana

Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems. The selected candidate will exploit, analyze, and produce imagery-derived intelligence products while integrating foreign geographic names data, native-langu

The Level 1 Artificial Intelligence/Machine Learning (AI/MI) Engineer shall possess the following capabilities:. Run machine learning algorithms. Minimum of 2 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity.

Kibana, Grafana, Nagios)Experience working with container images and platforms(Kubernetes/Docker/OpenShift)Experience in building processes for deploying to a Kubernetes based environment usingGitlab and HelmExperience using Jira and Confluence on a daily basisExperience with deploying to on prem/da

Extensive knowledge of artificial intelligence, machine learning, and data science concepts, methodology, techniques, and technologiesExperience defining and developing new artificial intelligence and machine learning technology solution and tool. Applies extensive knowledge of artificial intelligen

Experience applying machine learning to signal processing and/or other time-series data analysis applications. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing. TensorFl

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

Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networ

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

Manage and integrate disparate data sources, utilizing R, Python, or SQL. 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.

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. Strong SQL skills with understanding of relational database fundamentals: data modeling, query optimizati

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

Have experience developing AI/ML research prototypes in code, using one or more of scikit-learn, Tensorflow, PyTorch, or similar machine learning frameworks in Python. Have 4+ years of experience in designing and implementing algorithms involving one or more of the following: classification, cluster

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