Lead ML Engineer

ZOOP


Date: 9 hours ago
City: Pune, Maharashtra
Contract type: Full time
Responsibilities

  • Design, develop, and implement IDP solutions utilising ML and LLM technologies.
  • Lead the creation of Proof-of-Concepts (POCs) for various business teams, showcasing the potential of AI solutions.
  • Oversee the entire data and ML pipeline - from data ingestion and pre-processing to model training, deployment, and monitoring.
  • Champion the implementation of MLOps practices for streamlined model development, deployment, and management.
  • Establish a robust Data Governance framework ensuring data quality, security, and compliance.
  • Develop cost-efficient AI solutions, optimising resource utilisation and infrastructure costs.
  • Build and lead a high-performing team of ML and Data Engineers, providing mentorship and guidance.
  • Collaborate effectively with cross-functional teams (Engineering, Product, Business) to translate business needs into technical solutions.
  • Stay up-to-date on the latest advancements in AI, ML, and LLM technologies.

Requirements

  • Proven experience (5+ years) in building and deploying production-ready AI/ML solutions.
  • In-depth knowledge of NLP (Natural Language Processing) techniques and tools.
  • Familiarity with LLM architectures and their applications in document processing.
  • Expertise in data pipelines (ETL, ELT) and data wrangling techniques.
  • Strong understanding of machine learning algorithms and their selection for specific tasks.
  • Experience with cloud platforms (AWS, GCP, Azure) for deploying and scaling ML models.
  • Familiarity with MLOps practices and tools (e. g., model versioning, CI/CD pipelines).
  • Experience with Data Governance principles and best practices.
  • Excellent communication, collaboration, and problem-solving skills.
  • Leadership experience (desired) with a proven ability to mentor and guide engineers.

Bonus Points

  • Experience with specific IDP use cases (e. g., invoice processing, contract analysis).
  • Knowledge of Deep Learning frameworks (TensorFlow, PyTorch).
  • Experience with containerization technologies (Docker, Kubernetes).

This job was posted by Farnaz Kazi from ZOOP.

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