Talent.com
MLOps Engineer
MLOps EngineerOmm IT Solutions • Woodlawn, MD, us
MLOps Engineer

MLOps Engineer

Omm IT Solutions • Woodlawn, MD, us
job_description.job_card.30_days_ago
serp_jobs.job_preview.job_type
  • serp_jobs.job_card.full_time
  • serp_jobs.filters_job_card.quick_apply
job_description.job_card.job_description

Job Description

Please Note :

  • This is a 100% Onsite position and 5 days a week
  • Selected candidate must be willing to work on-site in Woodlawn, MD

Key Required Skills :

  • Machine Learning, ML model deployment, Python, CI / CD for ML (Jenkins, Sagemaker), Cloud Platforms (AWS) and related ML services, and data pipeline management.

    • 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.

    • Requirements

    Skills Requirements :

    Basic Qualifications

  • Bachelor's Degree and 12+ 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 workflows and data pipelines
  • Must be able to obtain and maintain a Public Trust. Contract requirement.

    • Required Skills

  • Strong foundation AI, ML and LLMs 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 MLOps principles and experience with MLOps platforms and tools (e.g., AWS Sagemaker, MLflow, Kubeflow, DataRobot).
  • Experience with CI / CD tools (Jenkins required), and containerization (Docker) and orchestration (Kubernetes) for managing and scaling applications.
  • Proficiency with cloud platforms (AWS preferred) including ML services, Infrastructure as Code (CloudFormation, Terraform), compute, storage (S3, EFS), and networking.
  • Knowledge of data engineering fundamentals including understanding of data pipelines, data storage (PostgreSQL, MySQL, MongoDB), and data processing frameworks (Apache Spark).
  • 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.

    • Requirements

    TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, AWS Sagemaker, MLflow, Kubeflow, DataRobot

    serp_jobs.job_alerts.create_a_job

    Mlops Engineer • Woodlawn, MD, us