Ingénieur principal en IA/Data Science

Medtronic plc; Hyderabad; Hybrid; INR 3.000.000 - 5.500.000; Vollzeit

Benefits dieser Stelle

Flexible work arrangement

Zusammenfassung

Medtronic plc recherche un Senior AI/Data Science Engineer pour diriger la conception, le développement et le déploiement de solutions IA et analytics au sein du domaine Commercial. Vous travaillerez avec des parties prenantes mondiales et superviserez des pipelines ML, des APIs et des services d'entreprise.

Le poste exige une forte expérience en ML/IA, capacité d'internationaliser les solutions et conformité aux pratiques MLOps.

Qualifikationen

• 7+ années d'expérience en IT avec un diplôme en ingénierie, MCA, MSc ou MBA.
• Diplôme en Data Science, Informatique, Statistiques, Mathématiques, Ingénierie, Analytics ou domaine quantitatif préféré.
• Expérience en data science, analytics avancé, IA ou apprentissage automatique.
• Maîtrise de Python, SQL, modélisation statistique, ML et IA.
• Capacité à développer et déployer des solutions ML/IA en production et à traduire les besoins métiers en solutions techniques.

Aufgaben

• Conduire la livraison end‑to‑end de solutions analytiques avancées et AI.
• Développer des modèles descriptifs, diagnostiques, prédictifs et prescriptifs.
• Concevoir et déployer des solutions IA, y compris LLM et IA générative.
• Gérer les pipelines ML/IA, APIs et services logiciels en production.
• Collaborer avec les équipes d'architecture, data engineering et produit pour assurer des solutions sécurisées et maintenables.

Kenntnisse

Python

SQL

Machine learning

AI methodologies

Communication

Ausbildung

Bachelor's degree in Data Science

Bachelor's degree in Engineering

Tools

Snowflake

Scikit-Learn

TensorFlow

PyTorch

XGBoost

Jobbeschreibung

## Ingénieur principal en IA/Data SciencePostuler: Mode de travail Flexible Work Arrangement: Nanakramguda, Hyderabad, India: Temps plein: Offre publiée aujourd'hui: R69815Chez Medtronic, vous pouvez entamer une longue carrière d’exploration et d’innovation tout en aidant à soutenir l’accès aux soins de santé et l’équité pour tous. Vous dirigerez avec détermination en surmontant les obstacles à l’innovation dans un monde davantage connecté et compatissant.**Journée type**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.