Staff AI Developer
Thermo Fisher Scientific (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect and develop advanced AI/ML solutions for healthcare and life sciences applications, focusing on predictive models for patient and donor risk assessment.
- Design, deploy, and maintain AI models integrating them into production systems using APIs or microservices, following MLOps best practices.
- Collaborate with data scientists, clinicians, and business stakeholders to optimize model performance and ensure compliance with healthcare regulations.
Minimum Requirements
- Bachelor’s or Master’s degree in computer science, AI, Data Science, or related field.
- 5+ years of experience in AI/ML development, including risk model development for classification, regression, or survival analysis.
- Strong programming skills in Python (preferred), C#.Net, Java, or C++ plus experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with healthcare or life sciences data (e.g., EHR, clinical, donor datasets) and familiarity with healthcare compliance standards (HIPAA, FDA, GDPR).
Ideal Candidate Profile
- Experienced AI developer with deep expertise in healthcare data and predictive risk modeling, capable of working with structured and unstructured datasets.
- Skilled in full lifecycle AI development including cloud AI/ML platform usage (AWS, Azure, Google Cloud) and MLOps for model deployment and maintenance.
- Capable of collaborating across interdisciplinary teams (data scientists, clinicians, business) and applying ethical AI principles including bias detection and transparency.