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Strong Tier-1 brand plus mid-level, in-demand ML role creates moderate applicant competition.
Core ML skills transfer across industries, but healthcare domain experience raises fit sensitivity.
Explicit 7+ years, required ML/MLOps, cloud, and healthcare experience enforce strict candidate filters.
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Lead end-to-end development and deployment of advanced analytics, machine learning, and AI solutions primarily within the Commercial domain of Medtronic.
Collaborate with global stakeholders including product owners, business analysts, data engineers, and architects to translate business needs into practical AI-enabled products that drive measurable impact.
Design, automate, monitor, and optimize AI/ML models and products using cloud platforms, software engineering best practices, and MLOps for scalable and reliable enterprise AI applications.
7+ years of IT experience with a Bachelor's degree in Engineering, MCA, MSc, or MBA; degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field preferred.
7+ years experience specifically in data science, advanced analytics, AI, or machine learning.
Strong proficiency in Python, SQL, statistical modeling, machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch), and MLOps practices including CI/CD and deployment automation.
Experience with generative AI (LLM-based applications, retrieval-augmented generation, agentic AI), cloud and analytics platforms (e.g., Snowflake), and production-grade AI application development.
Experienced in bridging business strategy and AI technology with demonstrated ability to deliver AI solutions that produce tangible business value.
Skilled in AI product lifecycle management from ideation through production, emphasizing software engineering excellence, scalability, and operational robustness.
Proven leadership in mentoring data science teams and driving adoption of advanced AI, responsible AI governance, and innovation in complex, regulated environments such as healthcare or MedTech.