Senior Consultant - Machine Learning & Data Engineering

5 - 9 years

20 - 35 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Description

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Senior Consultant

Key Responsibilities:

  • Develop and deploy ML models and pipelines using Python and PySpark.
  • Build and manage data pipelines using Airflow and distributed computing tools.
  • Integrate ML workflows with cloud platforms (AWS/Azure).
  • Perform data discovery, ingestion, and quality analysis for model development.
  • Collaborate with stakeholders to translate business needs into technical solutions.
  • Monitor model performance and maintain pipeline health.
  • Contribute to Gen AI use cases and agentic workflows (preferred).

Must-Have Skills:

  • Data Engineering (PySpark, Airflow)

  • ML Model Development

  • Python Programming

  • ML Pipeline Creation

  • Generative AI (Gen AI)

  • Cloud Platforms (AWS / Azure)

Good-to-Have Skills:

  • Agentic AI Frameworks

  • Advanced Gen AI Applications

Qualifications:

  • Bachelors degree or equivalent in a relevant field.
  • Minimum 5 years of experience in data engineering and ML development.
  • Proficiency in Python, PySpark, SQL, NoSQL, and cloud tech stacks (e.g., AWS Glue, SageMaker, Bedrock).

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Allegis Global Solutions (AGS) logo
Allegis Global Solutions (AGS)

Staffing and Recruitment

Hanover

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