Data/ML Platform Engineer

Job Description

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst
  • Experience

    5 - 10 Years

  • No. of Openings

    5

  • Education

    B.C.A, B.B.A, B.Com, B.Ed

  • Role

    ML Platform Engineer

  • Industry Type

    IT-Hardware & Networking / IT-Software / Software Services

  • Gender

    [ Male / Female ]

  • Job Country

    India

  • Type of Job

    Full Time

  • Work Location Type

    Work from Office

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