AI/ML Engineer

Posted 7 Days Ago
Be an Early Applicant
Hiring Remotely in Karpura, Bangalore, Karnataka, IND
Remote
Senior level
Healthtech • Pharmaceutical • Manufacturing
The Role
Designs, develops, evaluates, and deploys AI and machine learning solutions from proof of concept through production. Builds traditional ML, deep learning, LLM, generative AI, RAG, and agentic systems; develops end-to-end ML pipelines; evaluates model accuracy, bias, robustness, and safety; and supports cloud deployment, monitoring, governance, documentation, and compliance in regulated healthcare environments.
Summary Generated by Built In

At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information—learn more in our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/

Job Description:

AI/ ML Engineer (Solventum)

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 AI/ML Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

  • 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 modern 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.

Your Skills and Expertise 

To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

  • Bachelor’s Degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical field AND 5-10 years of job-related experience.

In addition to the above requirements, the following are also required:

  • 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

  • Professional proficiency in English required

Additional qualifications that could help you succeed even further in this role include:

  • 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, in turn, require you to possess certain licenses, vaccinations, and/or other credentials or qualifications (collectively “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

 

Domestic Travel: May include up to [20%]

Supporting Your Well-being 

Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. 

   

Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process.  Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.

Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

Solventum Global Terms of Use and Privacy Statement

Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.

Please access the linked document by clicking here. Before submitting your application you will be asked to confirm your agreement with the
terms.

Skills Required

  • Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical field
  • 5–10 years of job-related experience
  • Professional proficiency in English
  • 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 machine learning 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
  • Master’s degree or higher in Computer Science, Machine Learning, AI, or a related field
  • Exposure to regulated industries such as healthcare, including compliance and governance requirements

Solventum Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Solventum and has not been reviewed or approved by Solventum.

  • Fair & Transparent Compensation — Salary ranges on many U.S. postings are explicitly stated, providing clear visibility into target pay bands. Pay is characterized as competitive for numerous technical, engineering, sales, and specialist roles.
  • Healthcare Strength — Comprehensive medical, dental, and vision coverage with day‑one eligibility is emphasized alongside resources such as EAP, coaching, and care referrals. Benefits breakdowns indicate strong sentiment toward core health coverage and related time‑off elements.
  • Retirement Support — The U.S. 401(k) program pairs company matching with an additional automatic retirement contribution. Employee-facing benefit details highlight favorable impressions of the 401(k) plan.

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The Company
HQ: Saint Paul, MN
6,539 Employees

What We Do

At Solventum, we enable better, smarter, safer healthcare to improve lives. We never stop solving for you

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