Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
About The Position
Key Qualifications: Technical Skills: o Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. o Expertise in model training, evaluation, and deployment. o Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3. o Experience in developing full-stack software applications (JavaScript, Python, Java, etc.). o Solid understanding of data structures, algorithms, and system design. Experience & Background: o Extensive experience in machine learning model development, including natural language processing (NLP). o Experience with model evaluation, optimization, and performance monitoring. o Proven experience in software engineering with strong coding skills. o Experience working in a government or defense-related environment is highly preferred. Additional Skills: o Experience with model versioning and management using tools such as MLFlow or Git. o Familiarity with containerization tools (i.e. Kubernetes). o Strong problem-solving and analytical skills. o Excellent communication and collaboration abilities. Nice to Have: Experience with secure data handling and compliance requirements Experience working with Large Language Models (LLMs) This position requires in-scope poly, within 7 years.
Requirements
- Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Expertise in model training, evaluation, and deployment.
- Hands-on experience with AWS tools like SageMaker, 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.
- This position requires in-scope poly, within 7 years.
Nice To Haves
- Experience with secure data handling and compliance requirements
- Experience working with Large Language Models (LLMs)
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
