Senior ML Engineer - Ai & Data Applications (US Remote)

Senior ML Engineer – AI & Data Applications jobs
(US Remote)

Clearance: You must be eligible for clearance, (you do not need it in place already)

Role

This role as a Senior/Lead ML Engineer will play a pivotal role in advancing enterprise AI and intelligent data applications for our client.

This is a hands-on role that bridges machine learning, data engineering, and software development to deliver real-world impacts. The ideal candidate thrives in fast-paced, high-standard engineering environments and is ready to step into a role with strong career growth opportunities, including senior engineering and technical leadership paths.

Quick check your suitability:

Essential skills and certifications to have the best chance of success:

• 4+ years of professional Python software engineering experience with a focus on production ML deploy
• Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.)
• U.S. citizenship
• Python (primary language), Docker, Git, ML libraries (pandas, numpy, scikit-learn, PyTorch)
• CI/CD pipelines, monitoring, testing frameworks

Backgrounds the employer is ideally looking to avoid:

• Job hoppers (less than 2 years per role).
• Candidates focused mainly on data science/modeling rather than production deployment.
• Theoretical ML knowledge without hands-on production implementation experience.
• Candidates without CI/CD, monitoring, or scalable architecture experience.Consulting/contract-heavy backgrounds.

The Detail:

What You’ll Do

Lead platform upgrades to ensure products remain cutting-edge and effective.Design and manage dynamic dashboards using a Python SDK, turning data into actionable visual insights for decision-making.Optimize data pipelines and access patterns to improve performance and scalability.Tackle runtime and performance challenges, ensuring reliability and responsiveness.Architect robust, user-friendly, and scalable applications that account for current and future needs.Collaborate closely with Product Managers to improve usability and deliver value to end users.

What You Won’t Do

You won’t be siloed — this role requires versatility across ML, software engineering, and data systems.You won’t spend time on pure research without real-world implementation.

Tech Stack

Python (primary language)Docker, Git, ML libraries (pandas, numpy, scikit-learn, PyTorch)CI/CD pipelines, monitoring, testing frameworks

Requirements

4+ years of professional Python software engineering experience with a focus on production ML deployment (not just research or prototyping but real world experience).Proven experience delivering end-to-end ML lifecycle: model development to deployment to monitoring.Strong production systems experience in rigorous engineering environments (with top-tier start-ups or Big Tech preferred).Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).U.S. citizenship, with the ability and readiness to obtain a government security clearance.

Preferred Experience

Background in defense-related applications (helpful but not required).Exposure to multiple programming languages and technologies beyond Python.

Soft Skills

Strong written and verbal communication.Bias for practical, incremental value delivery.Collaborative mind-set with ability to mentor and influence.

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