REMOTE::FULLTIME::Senior ML Engineer AI & Data Applications (Remote, Clearance-Eligible)

Overview

Remote
Depends on Experience
Full Time

Skills

ML
AI
Data Applications
CI/CD pipelines
monitoring
testing framework
Python
pandas
numpy

Job Details

Hello,

Greetings.!

This is Hima from Appridat Solutions LLC. I was reviewing your resume online and would like to talk to you regarding an exciting opportunity For Senior ML Engineer AI & Data Applications (Remote, Clearance-Eligible). We have with one of Appridat Solutions LLC premier clients.

Senior ML Engineer AI & Data Applications (Remote, Clearance-Eligible)
Work type: Remote

Compensation

Benefits - Full

Interview Travel Reimbursed Yes

Must be able to obtain Security Clearance


Candidate Details

Seniority Level - Mid-Senior

Management Experience Required - No

Minimum Education - Bachelor's Degree

Willingness to Travel - Occasionally

We re seeking an Senior/Lead ML Engineer to play a pivotal role in advancing enterprise AI and intelligent data applications. This is a hands-on role that bridges machine learning, data engineering, and software development to deliver real-world impact. 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.

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).
  • Proven experience delivering end-to-end ML lifecycle: model development deployment monitoring.
  • Strong production systems experience in rigorous engineering environments (top-tier startups 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 mindset with ability to mentor and influence.


Skills and Certifications
[note: bold skills and certification are required]
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. Python (primary language) Docker, Git, ML libraries (pandas, numpy, scikit-learn, PyTorch) CI/CD pipelines, monitoring, testing frameworks

Traits 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.
  • Candidates without CI/CD, monitoring, or scalable architecture experience.
  • Consulting/contract-heavy backgrounds.

Regards,

Hima Bindu

Appridat solutions LLC.

5655 Peachtree Parkway, Suite 212, Peachtree Corners, GA 30092

PHONE:*533 | Fax

Direct:

Email:

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