Centurion is looking for a MLOps Engineer for our federal government client in Woodlawn, MD.  This is a long term, onsite position.

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
• All other duties as assigned or directed.

Skills Requirements:

• 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.
• 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.

HOW TO STAND OUT FROM THE CROWD (Desired Skills)
Showcase your knowledge of modern development through the following experience or 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.