Artificial Intelligence/Machine Learning; AI/ML Engineer
Job in
Bethesda, Montgomery County, Maryland, 20811, USA
Listed on 2026-02-12
Listing for:
Avid Technology Professionals
Full Time
position Listed on 2026-02-12
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Job Description & How to Apply Below
Responsibilities and Qualifications
- Strong proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or Hugging Face.
- Expertise in model training, evaluation, and deployment.
- Hands-on experience with AWS tools like Sage Maker, Lambda, EC2, and S3.
- Solid understanding of data structures, algorithms, and system design.
- Extensive experience in machine learning model development, including natural language processing (NLP).
- Experience with model evaluation, optimization, and performance monitoring.
- Proven experience in software engineering with strong coding skills.
- Experience working in a government or defense-related environment is highly preferred.
- Experience with model versioning and management using tools such as MLFlow or Git.
- Familiarity with containerization tools (i.e. Kubernetes).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
This position requires in-scope poly, within 7 years.
Technical Skills- Strong proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or Hugging Face.
- Expertise in model training, evaluation, and deployment.
- Hands-on experience with AWS tools like Sage Maker, Lambda, EC2, and S3.
- Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
- Solid understanding of data structures, algorithms, and system design.
- Extensive experience in machine learning model development, including natural language processing (NLP).
- Experience with model evaluation, optimization, and performance monitoring.
- Proven experience in software engineering with strong coding skills.
- Experience working in a government or defense-related environment is highly preferred.
- Experience with model versioning and management using tools such as MLFlow or Git.
- Familiarity with containerization tools (i.e. Kubernetes).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Experience with secure data handling and compliance requirements
- Experience working with Large Language Models (LLMs)
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