Design, build, deploy, and improve machine learning and AI solutions to solve business problems and create measurable value. Work across the Azure platform to develop scalable, production-ready AI/ML services. Collaborate with product, data, architecture, and business teams to ensure AI/ML capabilities are practical, secure, maintainable, and aligned to business priorities.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
India, Hyderabad
R75904 Senior Manager, AI/ML Engineer
Location: Hyderabad, India
Intro Summary Of The Role
The AI/ML Engineer exists to design, build, deploy, and improve machine learning and AI solutions that solve business problems and create measurable value through better decision-making, automation, and customer outcomes. This role works across the Azure platform to develop scalable, production-ready AI/ML services, combining data engineering, model development, deployment, and operational support.
The role operates at a hands-on professional level, balancing technical delivery with experimentation, solution design, and continuous improvement. It works closely with product, data, architecture, and business teams to ensure AI/ML capabilities are practical, secure, maintainable, and aligned to business priorities.
What You Will Get
At Lonza, we offer competitive benefits tailored to the region, including health coverage, retirement plans, career development opportunities, and relocation support where applicable. Our people are our greatest strength, and we are committed to supporting their growth and wellbeing.
What You Will Do
- Designs and delivers AI and machine learning solutions on Azure that address defined business needs and support operational, commercial, and customer objectives.
- Builds production-ready machine learning pipelines, services, APIs, and integrations that enable models to be deployed, consumed, and monitored effectively in live environments.
- Develops machine learning models, algorithms, and AI-driven solutions using appropriate techniques for prediction, classification, recommendation, automation, or insight generation.
- Prepares and engineers data for model development by sourcing, cleaning, transforming, and validating datasets to ensure quality, usability, and traceability.
- Implements model training, testing, evaluation, and tuning processes to improve performance, reliability, and business relevance.
- Deploys and supports AI/ML solutions within Azure using appropriate platform services, ensuring solutions are scalable, secure, and operationally robust.
- Monitors models and AI services for accuracy, drift, uptime, usage, and cost, and takes action to optimize performance and maintain value over time.
- Integrates AI/ML capabilities into wider business applications, data platforms, and workflows to move solutions from concept into practical use.
- Design and implement intelligent automation frameworks to streamline complex workflows, leveraging LLMs and agentic workflows to drive systemic autonomy.
- Collaborates with stakeholders across product, engineering, data, architecture, and business teams to translate requirements into technically sound AI/ML solutions and delivery plans.
- Applies engineering, governance, security, and responsible AI standards to ensure solutions are compliant, well-documented, and maintainable throughout their lifecycle.
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Data Accuracy and Integrity
- Consistently maintain high-quality, accurate, and reliable data across commercial systems and platforms.
- Intermediate hands-on Salesforce CRM expertise to effectively manage commercial data and workflows.
- Familiarity and practical experience in SAP ERP to seamlessly support business operations and integration with Salesforce and other tools.
- Demonstrated capability to collaborate effectively with various internal teams (Sales, Marketing, Customer Service, IT, Finance) to optimize data management processes.
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- Ability to establish, implement, and consistently enforce data governance policies, ensuring compliance, accuracy, and best practices.
- Strong analytical abilities, capable of evaluating complex data, identifying trends, diagnosing issues, and recommending effective solutions.
- Skilled in identifying operational improvement opportunities, designing efficient workflows, and clearly documenting standardized procedures.
- Excellent communication, including translating data insights and technical information into clear, concise recommendations for diverse stakeholders.
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- Capacity to produce accurate, timely, and insightful reports, dashboards, and analyses that inform commercial strategy and decision-making.
- Ability to prioritize multiple tasks, operate independently, manage workload effectively, and proactively address operational and data quality issues within a fast-paced environment.
- Proficiency with tools such as Excel, PowerBI, Marketo, ZoomInfo, LinkedIn Sales Navigator, MindTickle, or related platforms
At Lonza, our people are our greatest strength. With more than 30 sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values—Collaboration, Accountability, Excellence, Passion, and Integrity—reflect who we are and how we work together.
Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.
Reference: R75904
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