Data Science & Machine Learning Jobs

Are you a results-driven, customer obsessed, Product Manager Leader, with a passion for bringing together AI/LLM/ML, core engineering, data science, and business to deliver cutting-edge technology?. We are seeking a Principal Product Manager leader with proven ownership and leadership skills, with a proven track record of building 0-1 AdTech solutions, using modern AI/ML applications to join our team.. As a Principal Product Manager leader, you will focus applying and delivering AI/ML solutions that will help customers discover and engage with complex data models in new and innovative ways.. You will harness the power of large language modeling (LLMs), artificial intelligence (AI) and machine learning (ML) to help define and build new experiences that make it easier and convenient for customers to innovate and grow their business.. 3+ years of relevant professional experience in a AdTech-facing machine learning oriented product management role.

Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.. Requisition #: 1022 Title: AI Evangelist Clearance: Active DoD Top Secret Location: Arlington, VA; Falls Church, VA; Fort Meade, MD; Tampa, FL; Doral, FL; Stuttgart Germany; Colorado Springs, CO; Scott Air Force Base, IL; Omaha, NE; Halawa, HI Overview: As an AI Evangelist at Agile Defense, you will be responsible for promoting the adoption and understanding of AI technologies.. Document and understand organization Data Science (DS) and Artificial Intelligence (AI) training programs. 6+ years of experience with data analytics, data engineering, statistical analysis, or artificial intelligence and machine learning. [DK1] [MP2] About Us: Agile Defense delivers IT strategy, cloud, cybersecurity, application, data and analytics, enterprise IT, intelligence analysis, and mission operation support services to accelerate technical performance and efficiency for Defense, Civilian, and National Security & Federal Law Enforcement clients.

Broad technical foundation in software engineering and deep learning (through self-study, practical experience, or PhD).. ML: knows the theory and applied side of deep learning, especially computer vision and foundational model architectures (PyTorch, OpenCV, Tensorflow).. Backend: experience designing and building scalable and high availability server-side systems (Python, NodeJS, or Golang).. Cloud: familiarity with DevOps and infrastructure (i.e. Docker, Kubernetes, GPU scheduling) on cloud (i.e. GCP, AWS).. Monitoring: experience with logging systems and monitoring tools such as DataDog, Sentry, and/or CloudWatch

A company at the intersection of AI and Life Sciences is looking to expand their highly successful AI Research team.. The company is based in the San Francisco Bay Area, but the role may be open to fully remote.. Libriaries: PyTorch, Tensorflow, Scikit-learn, Pandas. Neural Networks: Graph Neural Networks, CNN. Protein Language Models: AlphaFold, etc.

Fully Remote (onsite in Vinings, GA from Mon-Thurs if converted to FTE). We are seeking a Senior BI Analyst with expertise in Python, SQL, Tableau, and predictive analytics.. You will work with large datasets across SAP and Snowflake environments to deliver strategic insights, with a strong focus on forecasting container arrivals, optimizing inventory levels, and identifying cost-saving opportunities – all in support of a major ERP modernization and the nationwide consolidation of distribution centers.. System Migration : Lead data analysis and reporting for a major migration from a legacy ERP to SAP Warehouse Management, with reporting transitioning to Snowflake.. Python Predictive Analytics : Perform predictive modeling in Python to forecast container arrivals, inventory levels, and other supply chain KPIs.

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.)

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.

🚀 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