**Summary**:This position is pivotal in identifying and incubating cutting-edge AI technologies that align withthe strategic goals of the company, enhancing the capabilities in data-driven decision-makingand is crucial in defining and promoting best practices in AI model development anddeployment.AI Engineer through their forward-thinking ensure seamless integration of innovative AIsolutions into existing frameworks, ensuring they are scalable, reliable, and tailored to meet theunique demands of the pharmaceutical industry.The AI Engineer will con-tribute to our missionof advancing healthcare through technology, ultimately improving patient outcomes and drivingbusiness success**About the Role**:- Key Responsibilities:- Understand complex and critical business problems, formulates integrated analyticalapproach to mine data sources, employ statistical methods and machine learningalgorithms to contribute to solving unmet medical needs, discover actionable insights,and automate processes for reducing effort and time for repeated use.
- Architect and develop end-to-end AI/ML and Gen AI solutions, focusing on scalability,performance, and modularity while ensuring alignment and best practices withenterprise architecture standards.
- Manage the implementation and adherence to the overall data lifecycle of enterprisedata from data acquisition or creation through enrichment, consumption, retention, andretirement, enabling the availability of useful, clean, and accurate data throughout itsuseful lifecycle.
- High agility to be able to work across various business domains.High agility to be able towork across various business domains.Integrate business presentations,



smartvisualization tools and contextual storytelling to translate findings back to businessusers with a clear impact.
- Independently manage budget, ensuring appropriate staffing and coordinating projectswithin the area.
- Collaborate with globally dispersed internal stakeholders and cross-functional teams tosolve critical business problems and deliver successfully on high visibility strategicinitiatives.Essential Requirements- Advanced degree in Computer Science, Engineering, or a related field (PhD preferred).
Experience- 5+ years of experience in AI/ML engineering (data engineering could be appropriatedepending on experience), with at least 2 years focusing on designing and deployingLLM-based solutions.
- Strong proficiency in building AI/ML architectures and deploying models at scale withexperience in cloud computing platforms such as AWS, Google Cloud, or Azure.
- Knowledge of containerization technologies (Docker, Kubernetes) and CI/CD pipelinesHands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools forscalable deployment.
- Experience with API development, integration, and model deployment pipelines.
- Strong problem-solving skills and a proactive, hands-on approach to challenges.
- Ability to work effectively in cross-functional teams and communicate technicalconcepts clearly.
- Excellent organizational skills and attention to detail in managing complex systems.DivisionOperationsBusiness UnitCTSLocationMexicoSiteINSURGENTESCompany / Legal EntityMX06 (FCRS = MX006) Novartis Farmacéutica S.A. de C.V.Functional AreaData and DigitalJob TypeFull timeEmployment TypeRegularShift WorkNo**Accessibility and accommodation**:Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

📌 Machine Learning Engineer Dd&It Us&I (Xico)
🏢 Novartis
📍 Xico