Sr. Staff AI Developer
Thermo Fisher Scientific
Bengaluru, Karnataka, IndiaSENIOR
AIMachine LearningHealthcare
Job Description
Join our AI team where you'll design and implement artificial intelligence solutions.
Responsibilities
- Design, develop, and deploy AI/ML models and algorithms
- Build predictive models for patient and donor risk assessment (e.g., eligibility, adverse outcomes, fraud/risk scoring)
- Work with structured and unstructured healthcare/life sciences data (EHR, clinical, donor data)
- Perform data preprocessing, feature engineering, and model evaluation
- Integrate AI models into production systems via APIs or microservices
- Collaborate with data scientists, clinicians, and business stakeholders
- Optimize model performance, accuracy, and interpretability
- Utilize cloud AI/ML platforms (AWS, Azure, Google Cloud)
- Monitor, retrain, and maintain models in production (MLOps practices)
- Ensure compliance with healthcare regulations (HIPAA, FDA, GDPR as applicable)
- Apply ethical AI practices, including bias detection and model transparency
- Stay updated with advancements in AI, healthcare analytics, and risk modeling
Qualifications
- Bachelor’s or Master’s degree in computer science, AI, Data Science, or related field
- 5+ years of experience in AI/ML development
- Strong programming skills in Python (preferred), C#.Net, Java, or C++
- Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
- Experience developing risk models (classification, regression, survival analysis)
- Familiarity with Natural language processing (NLP) framework
- Knowledge of healthcare or life sciences data, including patient and donor datasets
- Experience with data preprocessing and analysis (Pandas, NumPy)
- Familiarity with REST APIs and software development practices
- Understanding of statistics, probability, and data structures
- Experience with version control (GitHub)
- Strong problem-solving and analytical skills
- Good communication and collaboration abilities
Nice to have
- Experience with Generative AI and large language models (LLMs)
- Familiarity with healthcare data standards (HL7, FHIR)
- Experience with cloud AI services:
- AWS SageMaker
- Azure AI / ML Studio
- Google Vertex AI
- Knowledge of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
- Experience with big data tools (Spark, Kafka)
- Background in clinical analytics, epidemiology, or biostatistics
- AI or cloud certifications
Benefits
- Career growth
- Supportive work environment