AI/ ML Engineer (Solventum)

Responsibilities

- Design, develop, and implement AI/ML solutions to solve business problems, contributing to projects from proof of concept and pilot through production deployment.
- Build and apply both traditional machine learning models and contemporary AI techniques, including large language models (LLMs), generative AI, retrieval-augmented generation (RAG), and agentic AI systems.
- Collaborate with senior engineers, product managers, data scientists, and business stakeholders to refine project scope, technical approach, success metrics, and deployment requirements.
- Contribute to building scalable and maintainable AI systems with a focus on accuracy, robustness, fairness, and explainability, adhering to responsible AI principles.
- Apply model evaluation frameworks to assess performance, generalization, bias, and resilience to edge cases or adversarial inputs.
- Support the transition of AI prototypes into production-ready systems by partnering with platform and engineering teams on deployment, monitoring, and lifecycle management.
- Contribute to documentation, governance, and compliance processes to meet enterprise and regulatory standards, especially in healthcare and other regulated environments.

Requirements

- Proficiency in AI programming languages (e.g., Python)
- Hands-on experience with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, AWS Bedrock, and Azure AI Foundry
- Solid software engineering skills (testing, code quality, modular design, performance awareness)
- Experience building end-to-end ML pipelines (data preparation, training, evaluation, deployment integration)




- Experience designing, training, and tuning deep neural networks
- Understanding of model architecture, training dynamics, and evaluation techniques
- Exposure to autonomous and/or multi-agent systems, including basic agent orchestration and tool usage
- Understanding of reliability, safety, and evaluation considerations for agent-based systems
- Familiarity with deploying or supporting AI solutions on cloud platforms

Additional Qualifications

- Master's degree or higher in Computer Science, Machine Learning, AI, or related field.
- Exposure to regulated industries such as healthcare, with understanding compliance and governance requirements.
- Enthusiasm for solving complex AI problems and a strong desire for continuous learning and innovation.

Additional Requirements

In this role, you may be required to enter healthcare or other third-party facilities. Those facilities may require prerequisites to entry for regulatory, safety, or other business reasons. All information will be kept in accordance with applicable law and Solventum policies. In order to respond to the prerequisites to entry, Solventum may share your information with the providers of medical screens, vaccinations, or verifications as well as the healthcare or other third-party facilities requiring the prerequisites to entry.

Work Location

Hybrid

Travel

Domestic Travel: May include up to 20%

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML Engineer (Bengaluru)
🏢 Solventum
📍 Bengaluru