ML Engineer – Customer Data & Analytics

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 modern 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

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 

Clear 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).