MLOps Engineer

Location: Onsite in Woodlawn MD

Key Required Skills:
Machine Learning Python 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.
Strong development experience with Python
Experience with Natural Language Processing (NLP) for text and language generation.
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.
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:
FOUNDATION FOR SUCCESS (Basic Qualifications)
Bachelors 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.

FACTORS TO HELP YOU SHINE (Required Skills)
These skills will help you succeed in this position:
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:
Bachelors 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.

Best Regards

Govinda rajulu. M Sr. Talent Acquisition Specialist