Senior AIML Engineer
Department:
Job Summary
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:
- 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
- Programming & Software Engineering
- Advanced skills in Python R SQL; optionally Java or Scala
- Experience with CI/CD Docker Kubernetes GitOps
- Data Engineering & Architecture
- Building scalable data pipelines and real-time analytics
- Experience with Spark Hadoop and cloud-native platforms (Azure AWS GCP)
- Healthcare Compliance & Interoperability
- Knowledge of HIPAA HL7 FHIR standards
- Experience integrating AI into EHRs and clinical workflows
- 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
- Bachelors or Masters 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
Required Experience:
Senior IC
About Company
Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product d ... View more