AI/ML Engineering Lead

7 hours ago

Kota, Rajasthan, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Description:

We are seeking an experienced AI/ML engineering lead to join our data science team. This role requires a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.

Key Responsibilities:

  • Develop and optimize complex data pipelines applying AI/ML 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 AI/ML 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 AI/ML engineering on cross-functional teams for significant initiatives.
  • Stay updated with the latest advancements in AI/ML and apply 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.
  • 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 AI/ML 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 AI/ML data pipelines.

Benefits:

  • Opportunity to work with a talented team of data scientists and engineers.
  • Chance to develop and apply cutting-edge AI/ML techniques to real-world problems.
  • Professional growth and development opportunities.

Others:

We offer a dynamic and collaborative work environment with opportunities for professional growth and development.

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