Location - Hyderabad In this role you will design, develop, and enable scalable, reliable, and production-ready Machine Learning and GenAI solutions by translating business and technical requirements into robust ML architectures, pipelines, APIs, and deployment frameworks.

Your key responsibilities
Provide technical recommendations and evaluate feasibility to guide the development of scalable ML solutions.
Collect and analyze technical requirements to ensure robust and efficient data science implementations.
Design and implement scalable and maintainable ML pipeline architectures to meet performance and reliability requirements.
Develop and optimize modular, effective code for managing and deploying ML models across the company's platform, ensuring robust documentation and validation processes.
Create and design APIs and interfaces for seamless integration of ML solutions with client systems.




Develop and implement frameworks for the latest ML technologies, including agentic platforms, ensuring regular maintenance and upgrades to keep pipelines effective and relevant.

You bring
Expert knowledge in Python, Git, MLFlow, and AzureML.
Strong problem-solving skills and ability to communicate effectively with non-technical partners.
Experience in creating and maintaining scalable and robust ML pipelines as well as work with LLMs.
Understanding of agentic platforms and the tools required to develop and implement them.
Ability to collect and interpret technical requirements from various stakeholders.
Skills in GenAI and up-to-date development practices, with a commitment to continuous learning and improvement.

📌 Expert D&t Mlops Engineer Hyderabad (India)
🏢 DSM Firmenich
📍 India