Artificial Intelligence Machine Learning 1 (FST - 148)

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.

Active TS/SCI w/ Polygraph required.

Key Responsibilities: • Knowledge and experience of Language models is required o Specific experience with Marian and multi-lingual model development • Knowledge of Computation Linguistics is a plus • Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning • Strong Java, C, C++ programming experience • Willingness to support occasional on-call duties is a plus • Model Development & Training: o Build, train, and fine-tune machine learning models, particularly language models o Apply best practices in model training, tuning, and optimization. o Design and implement solutions for model performance improvement. • Evaluation & Testing: o Conduct rigorous model evaluation, including performance analysis and benchmarking. o Perform error analysis, debugging, and model diagnostics to ensure quality and reliability. • Model Deployment & Integration: o Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models. o Integrate machine learning models into production environments, ensuring seamless integration with other systems. • Full-Stack Engineering: o Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end). o Collaborate with software engineers to build scalable and efficient deployment pipelines. • Collaboration & Reporting: o Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions. o Document workflows, model design processes, and technical specifications.

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)