As an experienced AI/ML Engineer, your role will involve understanding complex business problems and formulating integrated analytical approaches to mine data sources. You will employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes to reduce effort and time for repeated use.Key Responsibilities:- Architect and develop end-to-end AI/ML and Generative AI solutions with a focus on scalability, performance, and modularity. Ensure alignment with enterprise architecture standards and best practices.- Manage the implementation and adherence to the overall data lifecycle of enterprise data, from acquisition or creation through enrichment, consumption, retention, and retirement.- Demonstrate high agility by working across various business domains effectively.- Integrate business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact.- Independently manage budget, ensure appropriate staffing, and coordinate projects within the area.- Collaborate with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives.Qualifications Required:- Advanced degree in Computer Science, Engineering, or a related field (PhD preferred).Experience:- 8 years of experience in AI/ML engineering, with at least 2 years focusing on designing and deploying LLM-based solutions.- Solid proficiency in building AI/ML architectures and deploying models at scale on cloud computing platforms such as AWS, Google Cloud, or Azure.- Deep knowledge of Large Language Models (LLMs)



and experience in applying them in business contexts.- Experience with containerization technologies (Docker, Kubernetes), CI/CD pipelines, 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 technical concepts clearly.- Excellent organizational skills and attention to detail in managing complex systems.Desired Skills:- Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Generative AI, Large Language Models (LLMs), Machine Learning, Proteomics, Python, R, Statistical Modeling.**Note:** The JD does not contain any additional details about the company. As an experienced AI/ML Engineer, your role will involve understanding complex business problems and formulating integrated analytical approaches to mine data sources. You will employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes to reduce effort and time for repeated use.Key Responsibilities:- Architect and develop end-to-end AI/ML and Generative AI solutions with a focus on scalability, performance, and modularity.



Ensure alignment with enterprise architecture standards and best practices.- Manage the implementation and adherence to the overall data lifecycle of enterprise data, from acquisition or creation through enrichment, consumption, retention, and retirement.- Demonstrate high agility by working across various business domains effectively.- Integrate business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact.- Independently manage budget, ensure appropriate staffing, and coordinate projects within the area.- Collaborate with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives.Qualifications Required:- Advanced degree in Computer Science, Engineering, or a related field (PhD preferred).Experience:- 8 years of experience in AI/ML engineering, with at least 2 years focusing on designing and deploying LLM-based solutions.- Strong proficiency in building AI/ML architectures and deploying models at scale on cloud computing platforms such as AWS, Google Cloud, or Azure.- Deep knowledge of Large Language Models (LLMs) and experience in applying them in business contexts.- Experience with containerization technologies (Docker, Kubernetes), CI/CD pipelines, 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 technical concepts clearly.- Excellent organizational skills and attention to detail in managing complex systems.Desired Skills:- Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Managemen

📌 Senior AI Engineers - Data Science Products (India)
🏢 Sandoz
📍 India