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(Senior) AI Engineer - Data & AI Organisation (all genders) 1

Merck KGaA

Bengaluru

5+ years

Today

$37.3K–50.6K/yr

Full time

Onsite

Skills Required

LLM

Vector Database

NLP

Machine Learning

Statistics

Predictive Modeling

Python

SQL

Langfuse

LangSmith

AWS

Palantir Foundry

Snowflake

Apache Spark

Polars

Description

AI Engineer role within the Data & AI Organization to build enterprise-scale AI solutions. The position focuses on reliable analytics pipelines, agentic workflows, and responsible AI delivery across business functions.

Company: Merck

Role: AI Engineer

Location: India

Experience

5 or more years of experience in data science, data engineering, analytics, or application design within a global organization
Exposure to Finance, HR, or Procurement data and business processes
Excellent programming skills in Python and SQL
Robust foundation in machine learning, statistics, predictive modeling, and NLP




Practical experience developing LLM-powered applications
Familiarity with vector stores, reranking techniques, and LLM observability tooling
Hands-on experience with cloud and enterprise data platforms
Hands-on experience with data transformation frameworks
MLOps and DevOps experience including MLflow, CI/CD pipelines, and Docker
Ability to communicate complex technical concepts clearly in English
AI literacy with understanding of bias, fairness, privacy, and governance

Qualification

University degree or equivalent qualification in Mathematics, Physics, Computer Science, or a related discipline

Responsibilities

Design and implement reliable analytics pipelines
Build enterprise-grade agentic workflows
Deliver scalable AI solutions across Enabling Functions such as Finance, HR, Procurement, and Legal
Integrate large language models, predictive models, and multi-agent frameworks
Ensure model reliability, reproducibility, and performance at enterprise scale
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