Job Description :

The Senior AI Data Scientist role at Agentic AI in Bangalore involves pioneering the integration of artificial intelligence and machine learning in the manufacturing sector.

You will be instrumental in designing AI architectures and building robust machine learning models to enhance operational efficiency.

The role requires a deep understanding of AI agent development and deployment, with a focus on creating innovative solutions that drive business performance.

As a key player, you will collaborate with cross-functional teams to implement AI-driven strategies and ensure optimal performance of data-driven systems.

This position offers the opportunity to lead the development of AI agents and copilots, leveraging both generative AI and traditional machine learning techniques.

You will be responsible for designing and implementing MLOps frameworks to streamline model deployment and monitoring.

The role demands expertise in prompt engineering and RAG (Retrieval-Augmented Generation) to enhance AI interactions and outputs.

Working within the manufacturing sector, you will focus on developing end-to-end process mining solutions using the Celonis EMS platform.

Your analytical skills will be crucial in building and optimizing data models for large-scale enterprise datasets, facilitating the extraction, transformation, and loading of data from diverse sources.

The role also involves engaging with business stakeholders to translate complex requirements into actionable AI process mining use cases.

You will ensure data quality and consistency, implementing process conformance checks and deviation analysis to maintain the integrity of AI solutions.

Your work will support the integration of Celonis with external systems to expand the scope of analytics and drive continuous improvement.

Responsibilities :

- Design and build robust AI architectures tailored for the manufacturing sector.

- Develop machine learning models, including large language models (LLMs), to enhance business operations.

- Create and deploy AI agents and copilots that integrate seamlessly with existing systems.

- Implement MLOps frameworks to ensure efficient model deployment and lifecycle management.

- Conduct prompt engineering and RAG implementation to optimize AI output and interactions.

- Develop and optimize process mining solutions using Celonis EMS for better operational insights.

- Collaborate with stakeholders to gather requirements and translate them into AI-driven solutions.

- Ensure high data quality and governance across all AI and process mining projects.

Ideal Match :

- Minimum of 3-6 years experience in AI data science, focusing on manufacturing applications.

- Proven expertise in building and deploying machine learning models and AI agents.

- Strong knowledge of MLOps practices and tools for model lifecycle management.

- Experience with Celonis EMS platform for process mining and data model optimization.

- Proficiency in ETL processes and working with large-scale datasets from systems like SAP and Oracle.

- Strong analytical skills with the ability to perform complex data analysis and identify business insights.

- Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders.

Education :

- Bachelor's or Master's in Computer Science, Engineering, or a related field