D&T Machine Learning Engineer II

General Mills, Inc.; Mumbai; Hybrid; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

웹근무 옵션 없음

Job summary

General Mills, Inc.의 디지털 및 기술 부문은 D&T Global AI 및 자동화팀의 ML 엔지니어 II를 찾고 있습니다. 귀하는 엔터프라이즈급 에이전틱 AI 플랫폼의 구축·개발에 참여하며, 다양한 데이터 소스와 외부 서비스와의 안정적 연결을 담당합니다.

또한 API 설계와 에이전트 워크플로우를 주도하고, 모니터링 및 보안 컴플라이언스에 맞춘 운영을 지원합니다. 브라이트한 개발 환경에서 협업을 통해 차세대 AI 솔루션을 선도하게 됩니다.

Qualifications

• Gen AI 및 Agentic AI 기술에 대한 1–2년 이상의 hands-on 경험 보유
• 기업급 애플리케이션과의 통합을 위한 커넥터 설계·개발 경험
• 최신 엔터프라이즈 플랫폼의 API 설계, 보안, 확장성에 대한 실무 경험

Responsibilities

• 고급 에이전틱 AI 플랫폼의 기술적 Enablement 및 통합 수행
• 맞춤 커넥터 설계·개발 및 다양한 데이터 소스/기업 애플리케이션과의 연동
• API 설계·테스트 및 보안 있는 통합 주도
• 에이전트 오케스트레이션 및 워크플로우 관리
• 모니터링·가시성 확보 및 운영상의 신뢰성 강화
• 플랫폼 최적화·라이프사이클 관리 및 보안 패치 적용
• 기술 문서화 및 모범 사례 정립
• 보안 및 컴플라이언스 준수

Skills

Python

API design

LangChain

Agentic AI

Google Cloud Platform

Vertex AI

Education

컴퓨터 과학/소프트웨어 엔지니어링/AI 데이터 사이언스 학위

Tools

Salesforce

SAP

ServiceNow

Docker

Kubernetes

Job description

## D&T Machine Learning Engineer II지원: 하이브리드: Powai, Mumbai, MH: Full time: 오늘 공고: 10129812**회사 개요**우리는 전 세계가 사랑하는 식품을 만들기 위해 존재합니다. 하지만 우리는 그 이상을 합니다. 우리 회사는 선한 영향력을 발휘하는 것을 최우선으로 하는 곳이며, 매일매일 배움을 확장하고 새로운 시각을 탐구하며 새로운 가능성을 재창조하는 공간입니다. 우리는 서로에게 도전하고 성장할 수 있는 대담한 사고를 가진 인재, 즉 최선을 다할 수 있는 인재를 찾습니다. 식품 분야의 확고한 리더가 되기 위해, 우리는 끊임없이 다음을 향해 도전하는 사람들과 함께합니다. **OVERVIEW**General Mills, Digital and Technology India, is seeking an ML Engineer(Agentic) to join the D&T Global Artificial Intelligence and Automation (AIA) Organization as part of the overall AIA Engineering group. This team builds enterprise-level scalable and sustainable AI solution pipelines and Agentic workflows to serve the AI and Agentic needs of business-impacting problem statements, maintains cloud and agentic platforms, and explores new complementary tooling for AI and Intelligent automation requirements.In this role, you are a critical member of the AIA team focused on leading efforts dedicated to enabling, optimizing, and scaling our next-generation agentic AI platforms. The candidate will be instrumental in designing and implementing robust custom connectors, ensuring seamless and secure API integrations, and orchestrating complex agent behaviors to unlock new business capabilities.We are looking for an individual with a strong background in Generative AI and Agentic AI, coupled with a passion for developing, maintaining, and continuously enhancing intelligent systems that deliver significant business value and drive innovation across the enterprise.**KEY ACCOUNTABILITIES*** **Advanced Agentic Platform Enablement:** Lead the technical enablement, integration, and continuous enhancement of advanced agentic AI platforms, ensuring they adhere to stringent performance, scalability, reliability, and security standards. This includes evaluating new agentic-first platforms, tools and frameworks.* **Custom Connector & Integration Development:** Architect, design, develop, and implement robust custom connectors and integration solutions to seamlessly connect diverse data sources, enterprise applications, and external services with our agentic platforms.* **API Design, Testing & Integration:** Drive the design, development, and rigorous testing of APIs, ensuring secure, reliable, and efficient integration with both internal and external systems to support agentic workflows.* **Agent Orchestration & Workflow Management:** Develop, implement, and optimize sophisticated strategies for orchestrating complex agent workflows, managing inter-agent communication, and enhancing decision-making processes within the platform to achieve desired business outcomes.* **Monitoring, Observability & Reliability Engineering:** Overall understanding to collaborate with other engineering teams to establish, implement and support comprehensive monitoring and observability capabilities for Agentic workflows* **Platform Optimization & Lifecycle Management:** Conduct ongoing optimization, performance tuning, and lifecycle management of agentic platforms and their underlying capabilities, including bug fixes, security patches, and capacity planning.* **Expert-Level Troubleshooting & Support:** Provide advanced technical support and expert-level troubleshooting for complex issues related to agentic platform functionality, integrations, and performance, performing root cause analysis and implementing preventative measures.* **Technical Documentation & Best Practices:** Create and maintain comprehensive, high-quality technical documentation for platform architecture, custom connectors, API specifications, operational procedures, and best practices to ensure knowledge transfer and system maintainability.* **Security & Compliance:** Ensure all platform development and integrations adhere to enterprise security policies, data privacy regulations, and compliance standards.* **Embrace learning mindset:** Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetups **MINIMUM QUALIFCATIONS****Experience & Education:*** Bachelor's or master’s degree in computer science, Software Engineering, Artificial Intelligence, Data Science, or a closely related technical field.* 5-7 years of progressive experience in software engineering, platform development, or a related technical field, with a strong focus on building scalable and resilient systems.* Minimum of 1-2 years of hands-on, in-depth experience specifically with Generative AI (Gen AI) and Agentic AI technologies, platforms, and frameworks (e.g., LangChain, LlamaIndex, AutoGen, Glean, etc.).* Proven track record of designing, developing, and deploying complex integrations and custom connectors for enterprise-level applications.**Technical Skills:*** Expert-level proficiency in at least one modern programming language (e.g., Python, Java, Go) with a strong emphasis on writing clean, efficient, and maintainable code.* Deep understanding and extensive experience with API design principles, development, and rigorous testing (RESTful APIs, GraphQL, gRPC).* Demonstrated expertise in building custom connectors and integrating diverse systems, including enterprise applications (e.g., Salesforce, SAP, ServiceNow) and various data sources.* Good understanding/Working experience of agent orchestration frameworks, multi-agent systems, and techniques for managing complex agent interactions and decision flows.* Extensive experience with major cloud platforms (Google Cloud Platform is preferred) and their AI/ML services (Vertex AI is preferred).* Proficiency in establishing and utilizing monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog, Splunk) to ensure platform health and performance.* Working knowledge of MCP connections, RAG, Vectors, Embeddings and Indexing, Knowledge graph and Oauth Flows.**Soft Skills:*** Exceptional problem-solving and analytical capabilities, with a keen eye for detail and a proactive approach to identifying and resolving complex technical challenges.* Superior communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders.* Ability to thrive in a fast-paced, dynamic environment, working both independently and as a key contributor within cross-functional teams.* Passion for learning new technologies and solving challenging problems. **PREFERRED QUALIFICATION****S*** Background in building, maintaining, and supporting traditional ML pipelines in a GCP environment.* Understanding of the Consumer-Packaged Goods (CPG) industry.* Familiarity with AI/ML lifecycle stages and MLOps concepts.* Strong understanding and practical experience with MLOps principles and practices, including CI/CD for AI/ML workflows, model versioning, and deployment strategies.* Experience with containerization technologies (Docker, Kubernetes) and orchestration platforms.* Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) is a plus.* Ability to collaborate cross functional teams and provide tech mentorship to other stakeholders* Strong leadership potential with the ability to mentor junior engineers and drive best practices**자격 요건**지원자는 해당 직무가 위치한 국가의 최소 연령 요건을 충족해야 합니다.