Lead AI Engineer

Capco; India; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

A leading financial services consultancy in India seeks an experienced AI/ML professional to design and deliver solutions enhancing client intelligence across Private Banking platforms. The role involves developing and deploying AI models, building scalable data pipelines, and integrating AI capabilities into enterprise systems. Candidates should possess strong experience in Python, machine learning frameworks, and a background in financial services or banking.

Qualifications

• Experience in Python is required.
• Experience with ML/DL frameworks like TensorFlow and PyTorch.
• Experience with Generative AI frameworks such as LangChain.

Responsibilities

• Develop and deploy AI/ML and Generative AI models.
• Build scalable data pipelines and feature engineering workflows.
• Integrate AI capabilities into enterprise platforms via APIs.

Skills

Python

Machine Learning

Deep Learning

TensorFlow

PyTorch

Scikit-learn

GenAI

AWS

Financial Services/Banking

Tools

AWS S3

AWS Lambda

AWS SageMaker

AWS Bedrock

Job description

Role Purpose

Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision‑making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels.

Key Responsibilities

• Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines)
• Build scalable data pipelines and feature engineering workflows using structured and unstructured data
• Integrate AI capabilities into enterprise platforms via APIs and microservices
• Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data
• Enable AI‑driven use cases such as client insights, next‑best‑action, and automation of RM workflows
• Implement model monitoring, governance, and performance optimization aligned to enterprise standards
• Collaborate with engineering and business teams to translate wealth use cases into scalable solutions
• Experience working with wealth management data (clients, portfolios, transactions)
• Understanding of data flows from core banking systems such as Avaloq
• Awareness of AI governance, model risk, and regulatory considerations in banking

Skills & Experience

• Experience in Python *
• Exp in ML/DL frameworks (TensorFlow, PyTorch, Scikit‑learn) *
• Exp in GenAI / LLM frameworks (LangChain, OpenAI, etc.) *
• Exp in AWS (S3, Lambda, SageMaker, Bedrock) *
• Domain Experience in Financial Services/Banking OR Banks *