Title : Medical Devices AI Solution Architect
Experience Required : 15+ Years
Location : Greater Noida, 5 days work from office
Role Summary :
We are seeking a highly experienced Medical devices AI Solution Architect with deep expertise in AI / ML solutioning and architecture within the pharmaceutical and biotech domains. The ideal candidate will have a strong understanding of pharma data, relevant regulatory frameworks, and hands-on experience in designing and deploying AI / ML solutions across the medical devices value chain—including R&D, manufacturing, supply chain, commercial operations, and patient safety. This role demands strategic thinking, technical leadership, and cross-functional collaboration to drive innovation and transformation.
Key Responsibilities :
- Design and architect end-to-end AI / ML solutions for pharma / biotech use cases.
- Apply MLOps methodologies for efficient model development, deployment, and monitoring.
- Leverage Cognitive AI techniques such as NLP, Computer Vision, Speech, and Conversational AI.
- Develop and implement Document AI and Generative AI solutions, including custom LLMs.
- Ensure seamless integration of AI solutions into cloud platforms (AWS, Azure, GCP).
- Deliver and maintain production-grade ML systems with high scalability and reliability.
- Provide technical leadership and mentorship to AI / ML teams.
- Collaborate with data scientists, ML engineers, and business stakeholders to transition prototypes to production.
- Prepare comprehensive documentation for architecture, design, and implementation.
- Stay current with emerging trends in AI, LLMs, MLOps, and life sciences technologies.
Mandatory Skills :
8+ years in AI / ML, with 3+ years in Medical devices AI (pharma / biotech).Proven experience in AI, ML, MLOps, Text Analytics, Generative AI.Strong programming skills in Python and Java.Experience with ML frameworks : TensorFlow, PyTorch, Keras, Scikit-learn.Hands-on with cloud platforms : AWS, Azure, GCP.Proficient in ML architectures : Ensemble Models, SVM, CNN, RNN, Transformers.NLP tools : NLTK, SpaCy, Gensim.MLOps tools : Kubeflow, MLflow, Azure ML.Experience in Responsible AI, LangChain, and Vector Databases.Workflow tools : Airflow.Microservices architecture and API development using FastAPI, Flask, Django.Database expertise : SQL, NoSQL (MongoDB, Postgres, Neo4