AI/ML Engineer III

Reflexive Concepts, LLC; Maryland; On-site; USD 120,000 - 180,000; Full time

Job summary

Reflexive Concepts, LLC is seeking an AI/ML Engineer III to advance applied machine learning in large-scale programs and contracts. The role emphasizes data selection, model development, and production deployment with a focus on verification, validation, and system integration oversight.

Qualifications include ten years of ML experience, a Master’s or PhD in a related field, and expertise with PyTorch/TensorFlow. NLP experience is a plus, and MLOps practices in production environments are valued.

Qualifications

• Ten years of applied ML experience required.
• Master's or PhD in AI, data science, or related field.
• 5 extra years of ML with a Bachelor's can substitute for a Master's.
• Experience with PyTorch and TensorFlow.

Responsibilities

• Select appropriate data sets and perform statistical analysis.
• Research, implement, and tune a broad range of AI/ML algorithms and tools.
• Build and operate MLOps pipelines to train, deploy, monitor, and retrain models at scale.
• Transform prototypes into scalable production solutions.
• Oversee test and evaluation of AI/ML algorithms through iterative design.
• Design or select data and knowledge representation methods.
• Verify data and model output quality and identify distribution shifts.
• Provide system integration oversight.

Skills

Applied ML

PyTorch

TensorFlow

Data analysis

Statistical analysis

Education

Master's degree

PhD

Tools

MLOps

Job description

Reflexive Concepts is seeking a skilled AI/ML Engineer III to join our team!

Qualifications

• Ten (10) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
• A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
• 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
• Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow.

Required

• Select appropriate data sets and perform statistical analysis
• Research, implement, and tune a broad range of AI and ML algorithms and tools
• Build and operate MLOps pipelines to train, deploy, monitor, and retrain models at scale
• Transform and convert data science prototypes into scalable production solutions
• Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
• Design or select appropriate data and knowledge representation methods
• Verify data and model output quality and identify differences in data distribution that affect model performance
• Provide system integration oversight

Desired

• Demonstrated background in natural language processing (NLP)
• Experience applying MLOps practices in a production mission environment