Work Location: Bangalore

About Us

We are growing our Data & AI practice, which delivers cloud data platforms, data modernisation and migration, analytics and AI-enabled engineering for global enterprise clients. You will work in cross-functional teams on long-term engagements, using up-to-date cloud technologies and AI-assisted engineering practices. Location: Offshore (India) · Full time.

Role Summary

Builds and runs production ML on customer data – identity resolution, propensity and scoring models – with MLOps discipline.

Experience

Level

Total experience

Relevant experience (must)

ML Engineer

6–10 years

3+ years applied ML / entity resolution; 2+ years production ML on AWS

Roles & Responsibilities
Build identity resolution / record matching (deterministic and probabilistic)
Develop propensity, engagement and scoring models
Productionise models as batch pipelines; set up registry, monitoring and retraining




Measure model quality (precision / recall, drift) and explain results to business
Work with data engineers on features, performance and cost

Mandatory Skills
Python, PySpark, statistics
Entity resolution tools (Splink, Zingg, AWS Entity Resolution or equivalent)
ML on AWS (SageMaker or Spark ML)
MLOps tooling (MLflow or equivalent)

Nice to Have
Marketing analytics / lead scoring
MDM
Feature stores
GenAI / LLM applications

Also Expected

Explicit communication with remote client stakeholders across time zones; Comfortable using AI coding and productivity tools, and reviewing AI-generated work critically; Agile ways of working; ownership and accountability. Certifications: AWS Certified Machine Learning Engineer / Specialty (plus).

📌 Ml Engineer – Customer Data & Analytics Bengaluru (India)
🏢 Impelsys
📍 India