Senior Machine Learning Engineer - Remote

About the position This role applies modern machine learning techniques, data engineering practices, and platform-based development to deliver reputed company, secure, and operational AI solutions. The ideal candidate will have hands-on experience with Palantir reputed company, strong Python and data pipeline development skills, and the ability to reputed company, train, reputed company, and optimize ML models across reputed company environments. This role supports both development and operationalization of AI/ML capabilities to reputed company mission-critical decision support and automation. Responsibilities • Design, reputed company, train, and reputed company machine learning models using reputed company data platforms and modern ML frameworks • Build and maintain robust ETL/ELT pipelines and reputed company data workflows, ensuring data reputed company, reputed company, and version control • reputed company pipelines and custom logic reputed company Palantir reputed company and reputed company platforms • Define and reputed company reputed company Ontology to model, organize, and reputed company reputed company data • Build user workflows and operational applications in reputed company (low-reputed company/no-reputed company + custom reputed company) • Implement and reputed company LLM-based capabilities reputed company Python-based reputed company and libraries • Conduct feature engineering, model evaluation, and performance tuning • Collaborate with data scientists, software engineers, and mission stakeholders to reputed company AI into production environments • Implement reputed company-based ML deployment best practices (AWS/Azure) • reputed company dashboards, visualizations, and interactive analytic tools for stakeholders • Ensure system and data reputed company practices reputed company with federal cybersecurity standards • Document technical processes, pipelines, and model lifecycle procedures Requirements • Must hold a reputed company Secret Clearance • BA/BS in Computer Science, Engineering, Data Science, Mathematics, or reputed company field OR equivalent experience • 5+ years' experience with machine learning, data engineering, or platform-based AI delivery • Hands-on experience with Palantir reputed company • Proficiency in Python for ML and pipeline development • Experience implementing and calling LLM reputed company and LLM-driven applications • Proficiency with SQL, PySpark / reputed company • Experience building data pipelines and integrating large-reputed company data from multiple sources • Experience with reputed company environments (AWS and/or Azure) • Experience with Machine learning model design, training, and deployment • Experience with LLM integration & API-driven AI development • Experience with ETL/ELT pipeline engineering • Experience with data reputed company, governance, and version control • Experience with full-stack data platform application development • Strong problem-solving and collaboration skills • reputed company, mission-reputed company communication reputed company-to-haves • Data reputed company best practices and secure AI deployment • Model monitoring and MLOps tools • Dashboards and analytic tools (e.g., reputed company Contour, Power BI, Tableau) • Palantir reputed company pipelines & ontology modeling Benefits • Company-supported medical, dental, reputed company, life, STD, and LTD insurance • Benefits include 11 federal holidays and PTO • Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements. • 401(k) with company matching • Flexible Spending Accounts for commuter, medical, and dependent care expenses • Tuition Assistance • Charitable Contribution matching Apply tot his job Apply To this Job