Data Pipeline Specialist

1 week ago

Amrāvati, Maharashtra, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title:

As a senior machine learning engineer, you will be responsible for developing and optimizing complex data pipelines using machine learning engineering principles.

Key Responsibilities:

  • Designing and implementing data pipelines using AWS services such as Glue and SageMaker.
  • Collaborating with data science teams to review model-ready datasets and feature documentation.
  • Performing data discovery and analysis of raw data sources.
  • Developing and maintaining model monitoring scripts.
  • Staying updated with the latest advancements in AI/ML and applying them to real-world challenges.

Required Skills and Qualifications:

  • Undergraduate degree or equivalent experience; a graduate degree is preferred.
  • Minimum of 8 years of relevant work experience.
  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
  • Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.
  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
  • Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.

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