Praescient Analytics · 10 hours ago
Senior AI/ML Engineer (Public Trust)
Bethesda, MD
Full-time
Hybrid
Senior Level
5+ years expPraescient 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.
AnalyticsBig DataOpen SourceSoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
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
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
Qualification
Required
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
Minimum of a Public Trust (U.S. Citizenship is Required)
Preferred
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
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
Company
Praescient Analytics
Software and Technology Integrator
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Yvonne Soto
Owner & CEO
Company data provided by crunchbase