1 day ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design, develop, and implement AI/ML solutions from proof of concept and pilot through production deployment.
- Build and apply traditional machine learning models, deep neural networks, LLMs, generative AI, RAG, and agentic AI systems.
- Collaborate with engineering, product, data science, and business stakeholders on scope, technical approach, metrics, and deployment requirements.
- Build scalable and maintainable AI systems emphasizing accuracy, robustness, fairness, explainability, and responsible AI.
- Evaluate models for performance, generalization, bias, resilience, edge cases, and adversarial inputs.
- Partner with platform and engineering teams to transition prototypes into production, including deployment, monitoring, and lifecycle management.
- Contribute to documentation, governance, and compliance processes for enterprise and regulated environments.
Requirements
- Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
- 5–10 years of job-related experience.
- Proficiency in AI programming languages such as Python.
- Hands-on experience with PyTorch, TensorFlow, scikit-learn, AWS Bedrock, and Azure AI Foundry.
- Solid software engineering skills, including testing, code quality, modular design, and performance awareness.
- Experience building end-to-end ML pipelines covering data preparation, training, evaluation, and deployment integration.
- Experience designing, training, and tuning deep neural networks.
- Understanding of model architecture, training dynamics, and evaluation techniques.
- Exposure to autonomous or multi-agent systems, including 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.
- Professional proficiency in English.
- Master’s degree or higher in Computer Science, Machine Learning, AI, or a related field is preferred.
- Exposure to regulated industries such as healthcare and related compliance and governance requirements is preferred.
Benefits
- Hybrid work arrangement.
- Domestic travel may be required up to 20%.
- Solventum offers programs supporting physical and financial well-being and benchmarks pay and benefits against comparable companies.
- Healthcare or other third-party facility access may require licenses, vaccinations, medical screens, or other credentials.