ML Engineer

3 weeks ago


Bagalur, India Saaki Argus & Averil Consulting Full time

KeyResponsibilities:

  • Design and implement MLOps pipelines using tools andframeworks.
  • Design develop and implement datapipelines and engineering infrastructure to support enterprisescalemachine learning systems.
  • This could involvetasks such as data ingestion preprocessing transformation featureengineering and model training.
  • Build CI/CDpipelines using tools like GitLab CI GitHub Actions Airflow orsimilar solutions to automate the ML lifecycle.
  • Collaborate with data scientists and ML engineersthroughout the ML lifecycle.
  • Design andimplement cloudbased MLOps solutions using platforms
  • Experience in containerization technologies
  • Experience deploying and maintaining various types ofmachine learning models in production
  • Performdata science model reviews including code refactoring andoptimization containerization deployment versioning and monitoringof the models quality.
  • Support data modeldevelopment with a focus on auditability versioning and datasecurity.


Qualifications:

  • Total 7 years ofwork experience 3 years inMLOps
  • Strong expertise in GenAIadvanced NLP computer vision and ML techniques.
  • Experience in designing developing and deployingproductiongrade AI solutions.
  • Excellentcommunication and collaboration skills. Ability to workindependently and as part of a team.


Location:

  • Bangalore/Hyderabad

Remote Work :

No


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