Associate AI/ML Engineer

Solventum (3M Healthcare); Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Solventum, formerly 3M Health Care, is seeking an Associate AI/ML Engineer to join the Global Supply Chain Digitalization - AI & Automation Team in Bengaluru. You will help design, develop, and deploy AI/ML solutions that enhance supply chain performance and automation.

Working under senior engineers, you will explore cloud-native AI using AWS and Azure, build scalable data pipelines, and collaborate with data scientists and software engineers to translate business requirements into reliable AI

Job description

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, in Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description

Role

Associate AI/ML Engineer

Team

Global Supply Chain Digitalization - AI & Automation Team

3M Health Care is now Solventum

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.

We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.

The Impact You'll Make in this Role

As an Associate AI/ML Engineer - Supply Chain AI & Intelligent Automation , you will support the design, development, and deployment of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions that improve Supply Chain across functions. You will help build and maintain scalable, production-ready AI applications that enable intelligent decision-making, automation, and operational efficiency.

In this role, you will assist in developing Machine Learning models, AI Agents, and cloud-native AI solutions using AWS and Azure to help solve supply chain challenges, working under the guidance of senior engineers and data scientists.

You will collaborate with Supply Chain stakeholders, Senior/Lead Data Scientists, Cloud Architects, and Analytics Teams to help translate business requirements into reliable, scalable AI solutions that deliver measurable business value, while continuing to build your technical expertise.

Key Responsibilities

• Machine Learning Solution Development: Assist in designing, developing, and deploying Machine Learning models and AI solutions to help solve Supply Chain business challenges. Contribute to end-to-end ML pipelines for forecasting, optimization, predictive analytics, anomaly detection, and intelligent automation, under the guidance of senior team members, helping ensure models are production-ready, reliable, and scalable.
• Agentic AI & Generative AI Engineering: Support the design, build, testing, and deployment of AI Agents and multi-agent systems using frameworks such as Lang Graph, Lang Chain, Auto Gen, Crew AI, or similar technologies. Help develop intelligent workflows that leverage LLMs, tool integration, memory, and orchestration to automate business processes and improve operational decision-making.
• Enterprise Data Engineering & AI Integration: Help develop data ingestion, transformation, and feature engineering pipelines to process structured, semi-structured, and unstructured enterprise data. Support integration of enterprise knowledge repositories, knowledge graphs, vector databases, and intelligent document processing solutions to enable contextual AI insights and support scalable Machine Learning and Generative AI applications.
• Cloud AI Deployment & MLOps: Assist in deploying and maintaining AI and Machine Learning applications on AWS and Microsoft Azure. Support MLOps and LLMOps pipelines, including model versioning, CI/CD, automated deployment, monitoring, and retraining, to help ensure scalable, secure, and high-performing production AI systems.
• Model Performance & AI Optimization: Help evaluate and monitor Machine Learning models and Large Language Models (LLMs) using appropriate performance metrics. Support efforts to improve model accuracy, reduce inference latency, optimize cloud resource utilization, and implement responsible AI practices under senior guidance.
• Technical Collaboration & Engineering Excellence: Partner with Supply Chain stakeholders, Data Scientists, Software Engineers, Cloud Architects, Product Managers, and Digital Transformation teams to help translate