Senior AI/Data Science Engineer

Responsibilities may include the following and other duties may be assigned.

Business Partnership & Value Realization

Translate business objectives into practical analytics and AI solutions.

Communicate insights and recommendations to technical and non-technical audiences.

Embed deployed solutions into business processes to drive measurable impact.

Data Science & AI Solution Development

Lead end-to-end delivery of advanced analytics, machine learning, and AI solutions.

Develop descriptive, diagnostic, predictive, and prescriptive models using statistical and machine learning techniques.

Perform exploratory analysis, experimentation, feature engineering, optimization, and A/B testing.

Build generative AI solutions, including LLM-based applications, retrieval-augmented generation, and agentic workflows.

Define evaluation, performance, bias, and monitoring frameworks.

AI Engineering & Product Delivery

Lead AI product delivery from ideation to production and lifecycle management.

Turn models and requirements into production-ready code and enterprise AI applications.

Develop and maintain machine learning pipelines, APIs, reusable libraries, and enterprise AI services.

Collaborate with architects, data engineers, and product teams to deliver secure, reliable, and maintainable AI solutions.

Apply software engineering and MLOps practices, including testing, version control, CI/CD, and deployment automation.

Scalable Data & AI Platforms

Use cloud platforms, distributed computing, and modern data and AI ecosystems to build robust enterprise solutions.

Optimize AI products for performance, reliability, security, maintainability, and operational excellence.

Create reusable frameworks, accelerators, standards, and best practices to improve delivery speed and quality.

Leadership & Technical Excellence

Mentor and coach data scientists and analytics professionals.

Guide solution quality through design reviews, best practices, and architectural input.

Foster a culture of innovation, experimentation, continuous learning, and responsible AI.

Advance data science and AI practices across the organization.

Required Knowledge and Experience:

7+ years of IT experience with a Bachelor's Degree in Engineering, MCA, MSc or MBA

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or another quantitative field is preferred.

7+ years of experience in data science, advanced analytics, AI, or machine learning.

Strong proficiency in Python, SQL, statistical modeling, machine learning, and AI methodologies.

Experience developing and deploying production-grade machine learning and AI solutions and translating business needs into technical solutions.

Strong communication, stakeholder management, and collaboration skills in global, cross-functional environments.

Experience with generative AI, LLM-based applications, retrieval-augmented generation, or agentic AI concepts.

Experience with cloud and analytics platforms such as Snowflake.

Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch, XGBoost) and MLOps practices.

Experience developing production-grade AI applications, APIs, and software services.

Knowledge of responsible AI, AI governance, and healthcare, MedTech, commercial, customer, or operational analytics domains.

Strategic thinking and business acumen.

AI, machine learning, and data science expertise.

Technical guidance and software engineering excellence.

Stakeholder management, influence, and communication.

Innovation, continuous learning, and problem solving.

Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

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Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.