Data-Driven Innovation Specialist

4 days ago

Palakkad, Kerala, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Machine Learning Engineer

We are seeking an experienced Senior Machine Learning Engineer to lead our data-driven initiatives. As a key member of our team, you will be responsible for developing and optimizing complex data pipelines applying machine learning engineering principles to enhance efficiency and scalability.

The ideal candidate will have a strong understanding of cloud technologies including AWS and Azure and experience with NoSQL databases. They will also possess proficiency in programming languages particularly Python including PySpark PySQL and familiarity with machine learning libraries and frameworks.

In addition to technical expertise, the successful candidate will have excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.

Core 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.
  • Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
  • 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.
  • Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives.
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.
  • Experience with API design and development is a plus Docker Kubernetes.
  • 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.
  • Understanding of solution architecture for building end-to-end machine learning data pipelines.

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