D&T Machine Learning Engineer II
General Mills (company site, opens in a new tab)5–7 yrsMumbaiOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the technical enablement, integration, and enhancement of advanced agentic AI platforms focusing on performance, scalability, security, and reliability.
- Design and develop custom connectors and APIs to integrate diverse enterprise applications and data sources with agentic AI platforms.
- Orchestrate and optimize complex agent workflows and inter-agent communications to enable new business capabilities and outcomes.
Minimum Requirements
- Bachelor's or master’s degree in Computer Science, Software Engineering, AI, Data Science, or related technical field.
- 5-7 years of experience in software engineering or platform development with a focus on scalable and resilient systems.
- 1-2 years hands-on experience with Generative AI and Agentic AI technologies and platforms (e.g., LangChain, LlamaIndex, AutoGen).
- Expertise in modern programming languages (Python, Java, Go), API design and testing (REST, GraphQL, gRPC), custom connector development, and cloud platforms (preferably Google Cloud Platform).
Ideal Candidate Profile
- Experienced in architecting and deploying complex AI integrations within enterprise environments, especially involving agentic AI frameworks and multi-agent systems.
- Strong cloud-native engineering background with proficiency in observability tools and platform lifecycle management on Google Cloud Platform.
- Capable of leadership and mentorship, able to collaborate across teams and promote best practices in AI/ML platform development and MLOps.