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3.2

based on 37 Reviews

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95 Grid Dynamics Jobs

Senior ML Engineer

Grid Dynamics

 · 

3.2

 based on 37 Reviews

3-5 years

Hyderabad / Secunderabad, Chennai, Bangalore / Bengaluru

1 vacancy

Senior ML Engineer

Grid Dynamics

posted 4mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science DevOps Medical Insurance CCTV Monitoring Orchestration Architectural Design

+ 3 more

Job Description

  • 5+ years with Azure (ML pipeline components), Azure Databricks, Azure DevOps.
  • Proven experience of design and deployment of end-to-end ML pipelines.
  • Experience with building infrastructure for classic DS models and/or LLM/SLMs.
  • 2+ years with orchestration (e.g., Kubeflow, Airflow, Azure Data Factory) and CI/CD for ML.
  • Experience deploying containerized ML solutions (e.g. Docker/Kubernetes).
  • Knowledge of model and data versioning (e.g. MLflow, DVC).
  • Knowledge of MLSecOps (security in the context of MLOps)
  • Experience with Infrastructure as a Code (e.g., Terraform, CloudFormation).
    Essential functions
    • List of identified areas for improvements for existing PepsiCo project
    • Recommendation on:
      MLOps practice
      MLSecOps
    • Sample templates and pipelines
    • Recommendation on the infrastructure for:
      Classic DS models
      LLM solution, primarily focused on fine tuning SLM by domain
    • Recommendation on Data Strategy:
      JIT access to data for the period of training with security guardrails (access, data masking, etc.)
    Qualifications
    • Azure Databricks, Azure DevOps.
    • ML Ops
    • ML SecOps
    • Classic DS Model
    Would be a plus
    • Knowledge of MLOps for LLM/SLM
    • Experience in ML system/architecture design (load balancing, caching, failover).
    • Knowledge in building scalable, resilient ML architectures.
    • Cross-team collaboration experience (data science, engineering, DevOps).
    • Experience with monitoring/logging for production models (e.g. Prometheus, Grafana, ELK stack).
    We offer
    • Opportunity to work on bleeding-edge projects
    • Work with a highly motivated and dedicated team
    • Competitive salary
    • Flexible schedule
    • Benefits package - medical insurance, sports
    • Corporate social events
    • Professional development opportunities
    • Well-equipped office

    Employment Type: Full Time, Permanent

    Read full job description

    Prepare for ml engineer roles with real interview advice

    Top Grid Dynamics ml engineer Interview Questions

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    What people at Grid Dynamics are saying

    What Grid Dynamics employees are saying about work life

    based on 37 employees
    81%
    94%
    81%
    100%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    Grid Dynamics Benefits

    Free Transport
    Child care
    Gymnasium
    Cafeteria
    Work From Home
    Free Food +6 more
    View more benefits

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