Machine Learning Engineer - AI Decision Intelligence Platform

Machine Learning Engineer with U.S. Security Clearance

This position is designed for an engineer who thrives at the crossroads of machine learning, data systems, and production software. The role focuses on building intelligent, data‑driven applications that support high‑impact initiatives across government, defense, and national security environments. The work is complex, meaningful, and highly visible, with direct influence on how advanced analytics are delivered and consumed in mission‑critical settings.

You will be part of a technically ambitious team developing enterprise‑grade AI capabilities. This role offers long‑term growth for engineers who want to deepen their technical expertise, shape system architecture, and grow into senior or technical leadership roles.

• Design and implement data pipelines and machine learning workflows that power production AI applications
• Improve data access strategies to maximize performance, scalability, and reliability across systems
• Partner with analysts, product leaders, and domain experts to ensure data accuracy and a trusted source of truth
• Own the end‑to‑end data and model lifecycle, from ingestion and transformation through inference and downstream processing
• Identify and resolve performance bottlenecks to ensure responsive and stable user experiences
• Build interactive dashboards and analytical views using Python‑based SDKs to translate complex data into clear insights
• Architect applications that balance robustness, usability, and future scalability
• Work closely with product and design partners to continuously improve usability and overall product quality

• Bachelor’s degree in Computer Science or a related discipline, or equivalent professional experience in software engineering
• Active U.S. Secret clearance with the ability and willingness to obtain a TS/SCI clearance
• Comfort working in secure environments including on‑site work in SCIF locations as required
• Strong written and verbal communication skills with the ability to explain technical concepts clearly
• Experience collaborating with stakeholders to define, organize, and validate data requirements
• Hands‑on experience designing data models and managing data pipelines
• Experience working with diverse data sources including structured, semi‑structured, and unstructured data
• Demonstrated success deploying software and machine learning systems into production environments
• Advanced proficiency in Python and the modern Python data ecosystem
• Experience with large‑scale data platforms and processing frameworks such as Spark, Databricks, or Snowflake
• Familiarity with data and model configuration management practices
• Working knowledge of containerization, orchestration, and version control tools
• Strong problem‑solving skills paired with a high degree of ownership and accountability

• Experience with workflow orchestration or scheduling tools used in data and machine learning systems
• Exposure to backend or data‑focused web frameworks or rapid application development tools for analytics

• Highly competitive compensation including salary, bonus, and equity based on experience
• Comprehensive health benefits covering medical, dental, and vision needs

This role is ideal for engineers who want to apply machine learning at scale, work on challenging real‑world problems, and contribute directly to systems that matter. If you are motivated by impact, technical depth, and long‑term growth, this opportunity offers all three.

Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go‑to‑market professionals with the world’s largest and most well‑known companies. For over 20 years, we've maintained the status of tier‑one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, Master Card, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google‑backed tech start‑ups, and major software firms.

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