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ML Ops Engineer

Company: Analytica LLC
Location: Washington
Posted on: May 28, 2023

Job Description:

Analytica is seeking anML Ops Engineerwith experience in containerization and deployment of data science models in a cloud environment to support long term federal client engagements in financial regulatory industry in the DC Metro area. The role will apply design and development of MLOPs pipelines on cloud solutions to deploy models that analyze challenging public sector problems.

Analytica has been recognized byInc.for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.

Requirements:


  • Be a key member of a highly collaborative, cross-functional team environment to design, develop, and deliver innovative, technical solutions using AI/ML and other data-driven methods.
  • Design and implement cloud solutions, build MLOps on cloud AWS
  • Build Continuous integration and Deployment (CI/CD) pipelines by tools such as GitHub Actions, Circle CI or similar tools
  • Run code optimization, containerization, deployment, versioning, and monitoring of quality
  • Write scripts in Docker to build images for models developed using R and/or Python
  • Communicate with a team of data scientists, data engineers and document the processes
  • Use GitHub for deployment of code and version control in a collaborative environment
  • Support senior data scientists to investigate, automate, test, report, and validate and review model results with clients and colleagues
  • Participate as part of an agile team in daily stand-ups, release planning, retrospectives, and customer demos
  • Participate on solution design teams forresponding to government requests for white papers, proposals and other content needs


    Qualifications:


    • Bachelor's degree in Computer Science or Software Engineering
    • 3-5 years of experience in using AWS, MS Azure or GCP services.
    • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
    • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift
    • Experience deploying models in containerized environments
    • Programming languages like Python, R, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
    • Ability to understand tools used by data scientist and experience with software development and test automation
    • Experience working in an Agile project management environment
    • Good communication skills
    • Must be a U.S. Citizen and be able to obtain and maintain a security clearance
    • Associate Cloud Certification is a plus



      About:Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an establishedandthat hasbeen recognized byInc. Magazineeach of the past three years as one of the 250

      As a federal contractor, Analytica is required to verify that all employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.

Keywords: Analytica LLC, Washington DC , ML Ops Engineer, Engineering , Washington, DC

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