Overview
Skills
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:
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