Senior Global Data AI Specialist

USTBC ABB Installation Products Inc.; Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

ABB in Bengaluru seeks an AI/ML Engineer to turn business challenges into AI solutions, from idea to production. You will work across Dev and Ops to build predictive models, LLM/GenAI applications, and enterprise data integrations using Python, SQL, Azure ML, and Foundry.

You will collaborate with data professionals, ensure data quality, and apply MLOps/AIOps practices to maintain reliable operations and measurable business value.

Qualifications

• Master's degree or equivalent practical experience in a technical field.
• 4-6 years hands-on experience in Data Science, AI/ML Engineering or analytics engineering.
• Experience delivering end-to-end AI/ML solutions from requirements to production.

Responsibilities

• Clarify needs with business stakeholders and data analysts to define outcomes, requirements, risks and data needs.
• Develop, validate and deploy production-ready AI/ML solutions using Python, SQL, Azure ML and Foundry.
• Build ML and GenAI applications including predictive models, embeddings, AI agents and APIs.
• Evaluate model accuracy, explainability, safety and business value; monitor and retrain as needed.
• Own end-to-end delivery with DevOps/MLOps practices and ensure operational readiness.

Skills

Python

SQL

Data science

AI/ML engineering

DevOps / MLOps

Education

Master's degree in Computer Science / Data Science / Statistics / Applied Mathematics / Engineering or related field

Tools

Azure Machine Learning

Microsoft Foundry

Snowflake

Power Platform

Copilot Studio

SAP

Salesforce

Job description

At ABB, we help industries run leaner and cleaner-and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to: Senior Operation Manager for D&A

Mission of the Role

Do you enjoy turning real business challenges into working AI solutions? Would you like to do it at a global company that is changing its industry with new technology? ABB is looking for a hands-on AI/ML Engineer to join our Information Systems (IS) .

This is a specialist role where you build the solutions yourself . It is not a coordination or management role. You will work with the business to understand its needs and then find the best answer. That could be a predictive model, an LLM or SLM, an AI agent, a GenAI application, analytics, automation or a conventional solution. You will take that solution from idea to production and keep it running well in operations.

If you have experience with Azure AI/ML, Snowflake, GenAI and MLOps , and you want to own solutions from start to finish across both Dev and Ops, this opportunity is for you!

Work model: Hybrid #LI-Hybrid

Responsibilities

Business understanding and solution design

Work with business stakeholders and Data Analysts to clarify needs, requirements, expected outcomes, success measures, data and context requirements, risks and ownership.

Build and deploy

Develop, validate and deploy production-ready AI/ML solutions using Python, SQL, Azure Machine Learning, Microsoft Foundry and other approved technologies.

Build ML and GenAI applications, including predictive models, RAG, embeddings, vector search, prompt/context engineering, AI agents, APIs, orchestration, retrieval and enterprise data integrations.

Build and integrate LLM-based solutions and conversational agents using Microsoft Foundry, Azure OpenAI and, where appropriate, Copilot Studio and Power Platform. Support Copilot and other AI platforms, such as Anthropic models.

Use enterprise data from SAP and Salesforce to build predictive models, GenAI applications and AI agents that deliver measurable business value.

Build secure, reliable data ingestion and processing from Snowflake and other enterprise sources, with attention to data quality, lineage, access control and cost efficiency.

Apply Snowflake AI/ML capabilities, including Snowpark ML, Cortex AI, Cortex Search and AI Functions .

Develop reusable components and automated pipelines for data preparation, feature engineering, training, inference, evaluation, testing, deployment and retraining, using CI/CD and version control.

Evaluate, operate and improve (DevOps / MLOps / AIOps)

Evaluate model accuracy, explainability, grounding, agent behaviour, safety, business value, performance, reliability and cost.

Set up and run MLOps/AIOps practices: monitoring, drift detection, cost monitoring, root-cause analysis , retraining and continuous improvement. You own both development and operations.

Contribute to production readiness, operational handover, incident and problem analysis, monitoring design and reliable day-to-day operations.

Apply Responsible AI, information security, privacy, compliance, identity and access management, secrets management and other ABB requirements within your solution scope.

Ownership and collaboration

Own your deliverables end to end. Estimate effort, manage priorities, report progress and risks, and work independently within the agreed architecture and platform guardrails.

Work closely with Data Analysts, Data Scientists, Snowflake Developers, Data Engineers, Power BI/Fabric Developers, platform specialists and domain experts.

Document solution logic, assumptions, limitations, evaluation results and operational requirements. Contribute reusable assets, engineering practices, knowledge sharing and mentoring.

Requirements

Education and experience

Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering or a related technical field, or equivalent practical experience.

4-6 years of hands-on experience in Data Science, AI/ML Engineering, analytics engineering or related roles, including taking AI/ML solutions to production.

Experience delivering AI/ML solutions end to end: business requirements, data preparation, development, validation, deployment and monitoring.

Technical skills

Practical Python and SQL skills for data preparation, model development, API integration, testing and implementation.

Hands-on experience with Azure Machine Learning and Microsoft Foundry : pipelines, compute