Senior AI / Machine Learning Engineer (Public Trust)

Praescient Analytics

$120K — $150K *
Education, Government & Non-Profit
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience with production AI/ML systems
  • Experience transitioning models from research to production
  • Support operations in regulated settings
  • Bachelor's Degree in relevant field or equivalent experience
  • Experience in federal or public-sector environments
  • Expertise in Python and AI frameworks like PyTorch/TensorFlow
  • Hands-on with Microsoft Azure AI services

Responsibilities

  • Design and develop machine learning and deep learning models
  • Apply advanced ML techniques using various learning approaches
  • Implement end-to-end MLOps pipelines for model lifecycle management
  • Deploy models using Microsoft Azure ML and CI/CD practices
  • Monitor model performance and ensure long-term reliability
  • Integrate AI solutions with existing data platforms
  • Lead collaboration with various teams in an Agile environment

Benefits

  • Comprehensive, company-paid healthcare
  • 401(k) plan with company match
  • 3 weeks paid time off plus federal holidays
  • $5K annual training allowance
  • $500 book allowance
Full Job Description
Location: Bethesda, MD (Hybrid)
Clearance: Public Trust (Role may require additional background investigations)
Employment Type: Full-Time

US Citizenship is 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
    • 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:

Experience
  • 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.

Technical Skills
  • 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.

Communication & Leadership
  • 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.
Clearance: Minimum of a Public Trust (U.S. Citizenship is Required)

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.

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

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


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.

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to [email protected] and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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