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Solventum

AI Scientist

Solventum

Principal AI Scientist driving technical innovation in healthcare AI applications at Solventum. Collaborating with scientists and engineers to create transformative AI solutions for healthcare operations.

Posted 7/3/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI models tailored for healthcare workflows, with a strong focus on natural language understanding and compliance with healthcare regulations. Proven ability to mentor teams and drive knowledge-sharing on AI advancements.

Highest-signal resume keywords
PhD Or Master’s In Computer Science5+ Years Of Experience In AI/MLProficiency In Python And RExperience With GenAI And LLMsFamiliarity With Cloud Platforms (AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Model DesignNatural Language Understanding (NLU)Large Language Models (LLMs)Machine Learning LibrariesAI Development ToolsAutonomous AI AgentsModel Evaluation FrameworksHealthcare Data ProcessingReasoning SystemsData Security Regulations
Soft Skills
MentoringKnowledge SharingTechnical Authority
Tools & Technologies
PyTorchTensorFlowHugging FaceLangChainRAG SystemsMLOps Practices
Industry Keywords
Healthcare WorkflowsClinical Decision-MakingRevenue Cycle ManagementPatient EngagementHIPAA ComplianceHITRUST Compliance

Tech Stack

Tools & technologies
AWSCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
  • Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
  • Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.
  • Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.
  • Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
  • Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.
  • Serve as the primary technical authority on Agentic and Generative AI within project teams.
  • Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
  • Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.
  • Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
  • Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).

Requirements

What you’ll need
  • PhD or Master’s in Computer Science, AI, Machine Learning, or related field.
  • 5+ years of experience in AI/ML, with a strong portfolio of deployed models.
  • Proficiency in Python, R, and modern ML libraries.
  • Experience with GenAI, LLMs, and transformer architectures.
  • Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
  • Hands-on experience with autonomous AI agents and reasoning systems.
  • Strong track record applying AI to healthcare or life sciences use cases.
  • Familiarity with cloud platforms (AWS) and MLOps practices.

Benefits

Comp & perks
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events