MLOps Engineer

Job Title: ML-Ops Engineer

Location: Onsite Role (All 5 Days) in Woodlawn MD

Duration: 6-12 Months Contract.

Interview process: 2-3 Video rounds.

Will need to obtain Public Trust.

Job Description:-

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.

Detailed 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.

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.