Artificial Intelligence Engineer

Andor Tech; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Andor Tech in Bengaluru is seeking a Senior AI/ML Engineer to lead end-to-end data science solutions, collaborating with Data Scientists and ML Engineers within the IDA team. You will deploy models to production, ensure quality, and drive agile delivery across multiple business lines.

The role emphasizes building infrastructure for feature engineering, model training, deployment, and monitoring, while staying aligned with enterprise compliance and best practices.

Qualifications

• Proficient in Python and FastAPI with strong ML background.
• Experience building end-to-end ML applications and production deployment.
• Hands-on with MLOps and distributed computing frameworks.
• Familiarity with data science methods and enterprise compliance requirements.

Responsibilities

• Deploy models to production within a data science/ML capability center.
• Collaborate with data scientists, ML engineers, and DevOps teams to accelerate deployment.
• Develop and maintain feature engineering, model training and monitoring pipelines.
• Translate product requirements into robust ML architectures for multiple lines of business.
• Stay current with new engineering practices and agile methodologies.

Skills

Python

FastAPI

Node.js/TypeScript

Chainlit

Databricks Genie/Mosaic AI

RAG & Agentic AI

LangChain/LangGraph

E2E ML App Design

MLOps

ML Methods

Compliance

Tools

Databricks

LangChain

LangGraph

Job description

Key Responsibilities Experience 8+ years - Bangalore(Hybrid)

Roles and Responsibilities:

The Senior AI/ML Engineer will join a vibrant team of Data Scientist and ML Engineer team working within the Data Science and ML Capability Center (CC) within the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Senior AI/ML Engineer will be responsible for initiating, development and deployment of data science solutions/products in an agile fashion to meet demand across multiple business lines. They will also be accountable for adhering to quality standards for producing digital solutions.

Key Characteristics

Work within the Data Science and ML team to deploy models to production, using existing and emerging methods and technologies that could be effectively applied to use cases

Build core infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools etc.

Build and automate AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization

Work closely with Infrastructure, data engineering and DevOp teams to increase deployment velocity, including the process for deploying models and data pipelines into production

Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning architectures

Keep abreast of new engineering practices, technologies and continuously improving our Agile practices

Contribute to community building initiatives like CoE, CoP.

Mandatory skills:

• Python
• FastAPI
• Node.js / TypeScript
• Chainlit
• Databricks (Genie/Mosaic AI)
• RAG & Agentic AI
• LangChain/LangGraph
• E2E Solution design / delivery of ML app. - Master
• Experienced in MLOps, Auto ML, distributed computing - Master
• Data Science and Machine Learning methods - Skill
• Enterprise compliance - Skill