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ML Data Engineer

Randstad Sourceright
5-7 Years
Ahmedabad, India

This job is no longer accepting applications

Job Description

Position: ML Data Engineer (CE50SF RM 4207)

Shift timing : 02 PM to 10 PM

Work Mode : Work From Office

Required Industry Experience : 5+ years of total development experience

Relevant Experience required : 2.5+ years of relevant Gen AI experience

Education Required: Bachelor's / Masters / PhD: Bachelor's degree in engineering

Must Have Skills

  • Python & API Development – FastAPI/Flask, REST API design, async, Pydantic, request validation
  • SQL & Spark/PySpark – PySpark DataFrames, Spark SQL, UDFs, performance tuning, partitioning
  • Databricks & Lakehouse – Notebooks, Jobs, Workflows, Delta Lake, Feature Store, Unity Catalog, schema evolution, cluster optimization
  • Feature & Data Pipelines – Reusable feature engineering pipelines, batch scoring pipelines, data modeling (star/snowflake, SCDs), training/serving parity, point-in-time correctness
  • ML Model Deployment & Serving – Real-time + batch inference, MLflow, Databricks Model Serving / Azure ML endpoints, model versioning, CI/CD for ML
  • Azure Cloud, Orchestration & Monitoring – Azure Functions, ADLS, Key Vault, Event Hub; orchestration (Workflows/ADF/Airflow); Application Insights, logging, alerting; Git & Agile practices

Good To Have Skills

  • MLOps & Observability – MLflow, model registry, drift monitoring

Any Special Or Skills Related Notes

  • Hands-on and accountable for delivering working, supportable solutions
  • Clear communicator who can translate between business needs and technical implementation
  • Quality-focused (testing, monitoring, documentation) with attention to reliability and maintainability
  • Calm under pressure when responding to incidents and prioritizing production work

Role focus: Data pipelines + APIs + product ionization

Key responsibilities

  • Build:
  • ML feature pipelines
  • Batch scoring pipelines
  • Model inference endpoints
  • APIs for scoring (real-time)
  • Implement model deployment (batch + real-time scoring)
  • Integrate with upstream / downstream systems

Required Skills

  • Strong SQL + Spark / Databricks
  • Experience with data modeling and feature engineering pipelines
  • Python (FastAPI/Flask/REST APIs)
  • API security + scaling
  • Experience deploying ML models as services

  • More Info

    Job Type:
    Permanent Job
    Industry:
    Other
    Function:
    Machine Learning / Data Engineering
    Employment Type:
    Full time

    Job ID: 151005369

    Last Updated: 12-07-2026 06:12:37 PM
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