Senior AI/Data Science Engineer

IN2 COV - COV Engineering Services PL; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Medtronic in Hyderabad is seeking a Senior AI/Data Science Engineer to lead end-to-end analytics, ML, and generative AI initiatives across the Commercial domain. You will partner with product owners, data engineers, and business stakeholders to translate objectives into reliable AI-enabled products and scalable pipelines.

The role emphasizes production deployment, MLOps, and collaboration across global teams, with a focus on responsible AI and delivering measurable business impact.

Qualifications

• ,
• 7+ years of IT experience in data science, AI, or ML
• Experience deploying production-grade ML/AI solutions
• Strong communication with global stakeholders
• Experience with generative AI, LLM-based apps, and RAG
• Knowledge of cloud analytics platforms

Responsibilities

• Lead end-to-end delivery of analytics and AI solutions.
• Translate business needs into analytical approaches and reliable AI products.
• Develop ML pipelines, APIs, and enterprise AI services.
• Collaborate with data engineers, architects, and product teams.
• Apply MLOps practices including CI/CD and deployment automation.
• Mentor junior data scientists and analysts.

Skills

Python

SQL

ML/AI

LLM & Generative AI

MLOps

Data Visualization

Stakeholder Communication

Cloud Platforms

Education

Bachelor's degree in Engineering/CS/Math/Stats

Master's preferred (data science/AI)

Tools

Snowflake

TensorFlow

PyTorch

Scikit-Learn

CI/CD tools

Job description

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the Life

As a Senior AI/Data Science Engineer, you will play a critical role in developing data, analytics, and AI solutions that help solve complex business challenges and support Medtronic's Mission to alleviate pain, restore health, and extend life. You will work at the intersection of business, data, and technology, partnering with global stakeholders to apply advanced analytics, machine learning, and generative AI where they create meaningful impact. The Senior AI/Data Science Engineer designs, develops, deploys, and improves advanced analytics, machine learning, and AI solutions for the Commercial domain. Working with product owners, business analysts, data engineers, architects, and business stakeholders, the role translates business needs into clear analytical approaches and reliable AI-enabled products. 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.

Benefits & Compensation

• Medtronic offers a competitive Salary and flexible Benefits Package
• This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. We change lives. Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That’s who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives. We build extraordinary solutions as one team. With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough. This life‑changing career is yours to engineer. By bringing your ambitious ideas, unique perspective and contributions, you will… Build a better future, amplifying your impact on the causes that matter to you and the world Grow a career reflective of your passion and abilities Connect to a dynamic and inclusive culture that welcomes the challenge of life‑long learning These commitments set our team apart from the rest: Experiences that put people first. Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career‑building resources you need. Life‑transforming technologies. No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms. Better outcomes for our world. Here, it’s about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls. Insight‑driven care. Fresh viewpoints. Cutting‑edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities. For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support. This employer participates in the federal E‑Verify program to confirm the identity and employment authorization of all newly hired employees.