MLOps Engineer

Position Title MLOps Engineer Key Required Skills: Machine Learning, Python, NoSQL and Relational Databases, DevOps, CI/CD, and Cloud Platforms (AWS, Azure) and related ML services. Position Description: • Ensure that ML models can be effectively developed, deployed, managed, and monitored in Production environments. • Productionize ML models – integrate trained ML models with Production systems • Build and manage ML pipelines – design, build, and maintain automated pipelines including data ingestion, data preprocessing, model training, validation, and deployment utilizing CI/CD practices. • Infrastructure management – set up and manage infrastructure for ML workloads utilizing cloud platforms and containerization technologies. • Monitoring and alerting – implement monitoring systems to track performance of ML models in Production • Automation – automate various tasks within the ML workflow to improve efficiency and reproducibility • Performance optimization – identify ways to optimize the performance, efficiency, and scalability of ML models and their supporting infrastructure (Basic Qualifications) • Bachelor's Degree and 10+ years experience in Computer Science, Mathematics, Engineering or a related field. • Masters or Doctorate degree may substitute for required experience • Minimum 5 years of hands-on experience designing, developing, implementing and maintaining ML pipelines • Must be able to obtain and maintain a Public Trust. Contract requirement. • • • Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week. (Required Skills) • Strong foundation in Machine Learning including understanding of concepts, algorithms, model training and frameworks (TensorFlow, PyTorch, scikit-learn). • Strong programming skills, especially Python, and relevant libraries (scikit-Learn, TensorFlow, PyTorch, NumPy, Pandas). • Strong understanding of DevOps principles and experience with CI/CD tools (Jenkins, GitHub Actions, Gitlab CI/CD, etc.) • Proficiency with cloud platforms (AWS preferred) including ML services, compute, storage (S3, EFS), and networking. • Experience with containerization (Docker) and orchestration (Kubernetes). • Knowledge of data engineering fundamentals including understanding of data pipelines, data storage (PostgreSQL, MySQL, MongoDB), and data processing frameworks (Apache Spark). • Familiarity with MLOps platforms and tools (e.g., Sagemaker, MLflow, Kubeflow, DataRobot). • Strong communication, collaboration, problem-solving, analytical, and critical thinking skills. (Desired Skills) • Prior experience with federal or state government IT projects. • Ability to design scalable, reliable, and efficient ML systems. • Willingness to continuously learn new technologies and best practices. • Familiarity with other programming languages such as Java and Scala. • Experience with Natural Language Processing (NLP) for text and language generation. Education: • Bachelor's Degree and 10+ years experience in Computer Science, Mathematics, Engineering or a related field. • Must be able to obtain and maintain a Public Trust. Contract requirement.