HEAD - DATA & AI/ML ENGINEERING

Absolute Talent Pvt Ltd; Gurugram District; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Absolute Talent Pvt Ltd is seeking an experienced Data Engineering and AI/ML Lead in Gurugram District, Haryana. This role involves designing and leading the modern data platform architecture, mentoring engineering teams, and driving the adoption of AI and Generative AI capabilities. The ideal candidate should have a strong background in scalable data systems, experience building production ML systems, and a good understanding of LLM applications. This position offers an exciting opportunity to work on cutting-edge technologies in a collaborative environment.

Qualifications

• Experience leading teams in Data Engineering or AI/ML fields.
• Strong background in building large-scale and production-level systems.
• Good understanding of Generative AI, LLM-based applications, and data platforms.

Responsibilities

• Design and lead modern data platform architecture.
• Build scalable systems for data ingestion, processing, transformation, and storage.
• Mentor data engineers, ML engineers, and AI engineers.
• Drive adoption of AI-powered capabilities across products.

Skills

Leadership in Data Engineering or AI/ML teams

Experience in large-scale data systems

Production machine learning systems

Generative AI and LLM applications

Job description

Data Engineering Architecture

• Design and lead the company’s modern data platform architecture.
• Build scalable systems for data ingestion, processing, transformation, and storage.
• Enable reliable and governed data access for analytics, ML models, and AI applications.
• Build and manage large-scale data pipelines and ETL/ELT systems.
• Implement modern architectures such as: Data Lake, Data Warehouse, Lakehouse architectures.
• Ensure scalability, reliability, and performance of data infrastructure.

AI / Machine Learning Engineering

• Build infrastructure for training, deploying, and monitoring ML models.
• Develop scalable ML pipelines and feature engineering systems.
• Enable product teams to embed AI‑powered capabilities into applications.

Generative AI & LLM Systems

• Drive adoption of Generative AI technologies across products.
• Design systems using large language models (LLMs) for intelligent automation and data‑driven applications.
• Build architectures for: LLM integration, Retrieval‑Augmented Generation (RAG), Vector search systems, AI agents and copilots.
• Evaluate and integrate modern GenAI frameworks and tooling.

MLOps & AI Infrastructure

• Build and maintain infrastructure for: Model training, Model versioning, Model deployment, Monitoring and observability, Experimentation frameworks.
• Establish MLOps best practices for reliable production ML systems.

Data Governance & Quality

AI Adoption Across Products

• Partner with product engineering teams to enable: Predictive analytics, Recommendation systems, Intelligent automation, AI‑driven decision systems, GenAI‑powered product features.

Leadership Responsibilities

• Build and lead the Data & AI/ML Engineering Pod.
• Mentor data engineers, ML engineers, and AI engineers.
• Define the technical roadmap for data and AI systems.
• Establish best practices for data engineering, ML systems, and AI infrastructure.
• Drive adoption of AI and GenAI capabilities across engineering teams.

Data Platforms

• Data pipelines and distributed data processing.
• Data lake / lakehouse architectures.
• Streaming and real‑time data processing.
• Large‑scale analytics platforms.

Machine Learning Systems

• ML pipelines and feature stores.
• Model training and deployment.
• ML model monitoring and lifecycle management.

Generative AI

• Large Language Models (LLMs).
• Retrieval‑Augmented Generation (RAG).
• Vector databases and embedding systems.
• AI agents and copilots.
• Prompt engineering and LLM orchestration frameworks.

Required Qualifications

• Experience leading Data Engineering or AI/ML Engineering teams.
• Strong background in large‑scale data systems.
• Experience building production machine learning systems.
• Good understanding of Generative AI and LLM‑based applications.
• Experience designing scalable data and AI platforms.

Preferred Qualifications

• Experience building AI‑powered enterprise platforms.
• Experience integrating GenAI features into production systems.
• Experience with large‑scale data environments.
• Familiarity with geospatial or location intelligence data.

Leadership Expectations

• Define the data and AI strategy for the company.
• Build scalable data platforms and AI infrastructure.
• Enable product teams to leverage data, ML, and GenAI capabilities.
• Drive innovation through AI‑powered product development.