Senior AI / Machine Learning Engineer (Public Trust) Jobs

Location Bethesda, MD (Hybrid) Clearance Public Trust (Role may require additional background investigations) Employment Type Full-Time US Citizenship Required Position Overview Praescient Analytics is seeking a highly experienced Senior AI/ML Engineer to support a mission-critical federal analytics and artificial intelligence modernization program. This role is responsible for designing, engineering, deploying, and operating production-grade AI and machine learning systems that support real-time decision-making, advanced analytics, and public safety outcomes. The Senior AI/ML Engineer owns the end-to-end machine learning lifecycle, from data ingestion and model development through deployment, monitoring, and governance. This position plays a key role in operationalizing advanced analytics, building scalable MLOps pipelines, and integrating AI capabilities into cloud-native systems within a highly regulated federal environment. Key Responsibilities Design, develop, train, and optimize machine learning and deep learning models supporting predictive analytics, classification, anomaly detection, NLP, and AI-assisted decision support. Apply advanced ML techniques using supervised, unsupervised, and semi-supervised learning approaches. Design and implement end-to-end MLOps pipelines supporting model training, validation, versioning, deployment, and rollback. Deploy models into production environments using Microsoft Azure ML, containerization, and CI/CD pipelines. Implement model monitoring, performance tracking, and drift detection to ensure long-term reliability and accuracy. Build and maintain AI solutions leveraging Microsoft Azure services, including Azure Machine Learning, Azure Data Lake Storage, and Azure Synapse Analytics. Integrate AI/ML solutions with existing data platforms, APIs, and analytics services. Optimize AI workloads for cost, performance, and reliability in cloud environments. Ensure AI systems adhere to federal standards for responsible AI, transparency, explainability, and auditability. Support model documentation, validation artifacts, and compliance reporting. Collaborate with governance and stakeholder teams to ensure models are suitable for high-impact decision-making. Work closely with data scientists, data engineers, analysts, architects, and Agile project managers in a fast-paced Agile delivery environment. Mentor junior engineers and contribute to shared engineering standards and best practices. Required Qualifications Minimum of 5+ years of experience designing, deploying, and operating production AI/ML systems. Demonstrated experience moving models from research or prototype stages into production environments. Proven experience supporting AI systems in mission-critical or regulated settings. Bachelor’s Degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field — or equivalent professional experience. Experience supporting federal, public-sector, or other regulated environments. Expert proficiency in Python and AI/ML frameworks such as PyTorch and/or TensorFlow. Strong experience with machine learning libraries including Scikit-learn, NumPy, and Pandas. Hands‑on experience with Microsoft Azure AI/ML services, particularly Azure Machine Learning. Experience building CI/CD pipelines for ML workflows. Familiarity with containerization (Docker) and model deployment patterns. Experience with SQL and data integration for ML workloads. Proficiency with Git-based version control and collaborative development. Strong written and verbal communication skills. Ability to explain complex AI/ML concepts to technical and non-technical stakeholders. Proven ability to lead technical efforts and collaborate across multidisciplinary teams. Preferred Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, Engineering, or a related field — or equivalent professional experience. Familiarity with AI agents, vector databases, large language models (LLMs), or Copilot-style architectures. Azure certifications (AI Engineer, Data Scientist, or related). Experience with streaming or near-real-time AI pipelines. Benefits Very competitive salary based on qualifications and experience. Comprehensive, company-paid healthcare for you (We pay your premiums and deductibles). 401(k) with company match. Travel & performance incentives. 3 weeks paid time off (plus Federal Holidays).

• 5K annual training allowance.
• 500 book allowance.

What you can expect from us Real opportunity for career growth in an environment where your achievements will be celebrated. Constant collaboration with numerous teams to ensure client success. A team that respects and embraces your ideas and expertise. Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain. A workplace dedicated to supporting and bettering public safety and government agencies. About Praescient Analytics Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection. Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient’s innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions. Eligibility Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. How to apply Interested Candidates: Please forward your resume to and please visit our website to apply online at #J-18808-Ljbffr NLP PEOPLE