Lead ML Engineer

ZOOP

5 years

0 Lacs

pune maharashtra india

Posted:5 days ago| Platform:

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Skills Required

ml design ai data pipeline processing model training deployment development governance security engineering etl learning algorithms aws gcp azure scaling versioning communication collaboration leadership tensorflow containerization docker

Work Mode

On-site

Job Type

Full Time

Job Description

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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