Leading Data Scientist

17 hours ago

Rajahmundry, Andhra Pradesh, India beBeeMachine Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Job Title: Senior Machine Learning EngineerKey Responsibilities:
  • Develop and optimize complex data pipelines applying machine learning engineering principles to enhance efficiency and scalability.
  • Integrate and optimize data and model pipelines within production environments diagnosing data inconsistencies and documenting assumptions.
  • Employ experimental methodologies statistics and machine learning concepts to create self-running AI systems for predictive modeling.
  • Collaborate with data science teams to review model-ready datasets and feature documentation ensuring completeness and accuracy.
  • Perform data discovery and analysis of raw data sources applying business context to meet model development needs.
  • Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.
  • Write and maintain model monitoring scripts diagnosing issues and coordinating resolutions based on alerts.
Requirements:
  • Undergraduate degree or equivalent experience; a graduate degree is preferred.
  • Minimum of 8 years of relevant work experience.
  • At least 3 years of hands-on experience designing ETL pipelines using AWS services e.g. Glue SageMaker.
  • 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.
Benefits:
  • Opportunity to work on large-scale AI/ML projects.
  • Chance to collaborate with experienced data scientists and engineers.
  • Professional growth and development opportunities.
Others:

The ideal candidate will possess a robust background in traditional machine learning deep learning and significant experience with large datasets and cloud-based AI services.

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