Senior AI/ML Engineer

Fortive; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Bonus or Equity as part of total compensation

Job summary

Fortive in Bengaluru is seeking an experienced AI/ML Engineer to design, develop, and deploy AI models that enhance clinical decision-making and operational efficiencies. This role involves collaboration with various teams to integrate AI capabilities into secure SaaS platforms.

The ideal candidate should have over 6 years of AI/ML engineering experience, a relevant degree, and proficiency in tools like TensorFlow and PyTorch. Benefits include a bonus or equity as part of the compensation package.

Qualifications

• 6+ years of experience in AI/ML engineering, preferably within healthcare SaaS environments.
• Proven track record of deploying models in production and integrating with cloud-native platforms.

Responsibilities

• Design, develop, and deploy AI/ML models to enhance clinical decision-making.
• Collaborate with cross-functional teams to integrate AI capabilities into SaaS platforms.
• Build scalable data pipelines and perform real-time analytics.

Skills

Machine Learning & Deep Learning

Programming & Software Engineering

Data Engineering & Architecture

Healthcare Compliance & Interoperability

AI Strategy & Responsible Use

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

CI/CD

Docker

Kubernetes

Spark

Hadoop

Job description

Job Summary

Design, develop, and deploy AI/ML models and intelligent systems that enhance clinical decision-making, operational efficiency, and patient outcomes. Collaborate with cross-functional teams to integrate AI capabilities into scalable, secure, and compliant SaaS platforms.

Key Responsibilities

1. Machine Learning & Deep Learning
   • Expertise in supervised, unsupervised, and reinforcement learning.
   • Familiarity with CNNs, RNNs, transformers, and generative models.
   • Proficiency in TensorFlow, PyTorch, Scikit-learn.
2. Programming & Software Engineering
   • Advanced skills in Python, R, SQL; optionally Java or Scala.
   • Experience with CI/CD, Docker, Kubernetes, GitOps.
3. Data Engineering & Architecture
   • Building scalable data pipelines and real-time analytics.
   • Experience with Spark, Hadoop, and cloud-native platforms (Azure, AWS, GCP).
4. Healthcare Compliance & Interoperability
   • Knowledge of HIPAA, HL7, FHIR standards.
   • Experience integrating AI into EHRs and clinical workflows.
5. AI Strategy & Responsible Use
   • Ethical AI design, bias mitigation, and explainability.
   • Ability to align AI initiatives with business and clinical goals.

Required Qualifications

• Education & Experience
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
  • 6+ years of experience in AI/ML engineering, preferably within healthcare SaaS environments.
  • Proven track record of deploying models in production and integrating with cloud-native platforms.

Other Preferred Knowledge, Skills, Abilities or Certifications

• Cloud & AI Certifications
• Healthcare Standards & Compliance
• Ethical AI & Responsible Use
• Data Engineering & Real-Time Analytics

Benefits

• Bonus or Equity as part of the total compensation package.

Equal Opportunity Employer and Reasonable Accommodation Statement

We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at [e-mail].