Life sciences AI Solutions Architect – Medical Devices

12 hours ago

uttar pradesh, India Coforge Full time

Job Title: Life sciences AI Solutions Architect – Medical Devices Experience: 13–18 years Location: G Noida, Pune, HYD, 5 days WFO Role Summary We are looking for a seasoned Medical Devices AI Solution Architect with deep expertise in designing and implementing AI/ML solutions across the medical devices value chain—spanning R&D, manufacturing, supply chain, commercial, and patient safety. The ideal candidate will have hands-on experience in AI/ML architecture, MLOps, and Generative AI, along with a strong understanding of medical device data and regulatory aspects. You will lead end-to-end solution design, deployment, and governance, ensuring scalability, security, and compliance. Key Responsibilities Architect and design end-to-end AI/ML solutions for medical devices. Implement MLOps methodologies for streamlined model development, deployment, and monitoring. Apply Cognitive AI techniques (NLP, Computer Vision, Speech, Conversational AI) and Document AI . Work with LLMs and Generative AI models , including custom model creation and integration. Ensure integration of AI solutions into cloud platforms (AWS, Azure, GCP). Drive productionization of ML solutions , ensuring robustness, scalability, and reliability. Collaborate with cross-functional teams to integrate AI into products and services. Provide technical leadership and mentorship to AI teams. Maintain detailed documentation for architecture, design, and implementation. Stay updated on latest AI/ML trends, techniques, and best practices. Mandatory Skills 8+ years in AI/ML with at least 3+ years in Medical Devices AI solutions . Proven experience in AI, ML, MLOps, Text Analytics, and Generative AI . Strong programming skills in Python, Java . Hands-on with ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn). Experience with cloud platforms (AWS, Azure, GCP). Knowledge of ML & Neural Network architectures (CNN, RNN, Transformers, SVM, Ensemble Models). Expertise in NLP tools (NLTK, Spacy, Gensim). Familiarity with MLOps tools (Kubeflow, MLflow, Azure ML). Experience in Responsible AI practices , LangChain , and Vector Databases . Knowledge of workflow tools (Airflow), microservices architecture , and SQL/NoSQL databases (MongoDB, Postgres, Neo4j). Experience with REST API frameworks (FastAPI, Flask, Django). Desirable Skills Advanced degree (Master’s/PhD) in Computer Science, Statistics, Mathematics, or related field. Experience with statistical modeling, data mining, and advanced ML algorithms . Contributions to open-source AI/ML projects or published research. Familiarity with big data platforms (Hadoop, Spark, Kafka). Strong communication and collaboration skills. Architect-level certifications in AI/ML or cloud platforms.

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