AI & ML Engineer for Marketing Insights & Automation

Tata Consultancy Services; Marlborough (MA); On-site; USD 150,000 - 160,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support: Maternal & Parental

Insurance Options: Aut & Home

Certification & Training Reimbursement

Time Off: Vacation & Holidays

401K Plan + Performance Bonus

Job summary

Tata Consultancy Services is seeking specialists in AI and data engineering to support marketing analytics with AI-enabled discovery and data processing. The role emphasizes building and leveraging ML/LLM models for decision making and automating data workflows.

Ideal candidates will have hands-on experience with Python, Generative AI, Vector databases, and Azure ML, plus familiarity with MLOps and Databricks Lakehouse architectures.

Qualifications

• Must-have skills include Python and Generative AI/LLMs.
• Experience with prompt engineering and RAG architectures.
• Familiarity with vector databases, PyTorch/TensorFlow, and Azure AI/ML platforms.
• Hands-on MLOps tooling (MLflow, Kubeflow) and Databricks Lakehouse.
• Knowledge of LangGraph and Semantic Kernel frameworks.

Responsibilities

• Foundational enablement activities supporting the marketing organization.
• Leverage AI tools and models for pattern detection and analysis.
• Enable AI-led discovery for data ingestion, application and load processing.
• Generate/ leverage ML/LLM models for decision making.
• Automate data processing and insight generation.
• Collaborate with teams to translate insights into actionable outcomes.

Skills

Python

Generative AI & LLMs

Prompt Engineering

RAG Architecture

Vector Databases

PyTorch / TensorFlow

Azure AI / Azure ML

MLOps (MLflow, Kubeflow)

Databricks & Lakehouse Architecture

Agentic AI Frameworks (LangGraph, Semn

Tools

LangGraph

Job description

Tata Consultancy Services is seeking specialists in AI and data engineering to support marketing analytics with AI-enabled discovery and data processing. The role emphasizes building and leveraging ML/LLM models for decision making and automating data workflows.

Ideal candidates will have hands-on experience with Python, Generative AI, Vector databases, and Azure ML, plus familiarity with MLOps and Databricks Lakehouse architectures.