Position Description

Oversee the end-to-end lifecycle of Machine Learning (ML) models, ensuring they are effectively developed, deployed, monitored, and maintained in production environments.

Key Responsibilities:

• Design, build, and maintain automated ML pipelines for data ingestion, preprocessing, training, validation, and deployment using CI/CD best practices.
• Develop and optimize ML models, particularly in Natural Language Processing (NLP) and text generation.
• Implement monitoring and alerting systems to track model performance and reliability.
• Automate workflows to enhance efficiency, reproducibility, and scalability.
• Continuously improve model and infrastructure performance.

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field with 10+ years of experience; a Master’s or Ph.D. may substitute for some experience.
• Minimum 5 years of hands-on experience designing, implementing, and maintaining ML pipelines.
• Eligibility to obtain and maintain a Public Trust clearance (required by contract).

Required Skills

• Deep understanding of ML concepts, algorithms, and frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong Python programming skills with key libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with DevOps and CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD).
• Proficiency with cloud platforms (AWS preferred) and related ML, compute, storage (S3, EFS), and networking services.
• Expertise in containerization (Docker) and orchestration (Kubernetes).
• Solid grasp of data engineering principles, including data pipelines, storage (PostgreSQL, MySQL, MongoDB), and processing (Apache Spark).
• Familiarity with MLOps tools (SageMaker, MLflow, Kubeflow, DataRobot).
• Excellent communication, collaboration, analytical, and problem-solving skills.

Desired Skills

• Experience working on federal or state government IT projects.
• Ability to design scalable, reliable ML systems.
• Commitment to continuous learning and adoption of new technologies.
• Familiarity with Java or Scala.
• Experience with NLP and text generation.

BGSF is an Equal Opportunity Employer. We are committed to providing equal opportunities for employment to all qualified people, regardless of race, color, national origin, religion, sex, age, disability status, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law.