Data Scientist II

General Mills, Inc.; Mumbai; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

General Mills, Inc.는 Mumbai Powai에서 데이터 사이언스 II 역할을 찾고 있습니다. 이 직무는 ML, 딥러닝, 에이전트 AI를 활용해 고임팩트 분석 및 AI 솔루션을 주도합니다.

역할은 다수의 프로젝트를 독립적으로 관리하며, 파이프라인 구축, 모델 배포, 성능 모니터링을 포함합니다. 협업과 커뮤니케이션 역량이 중요합니다.

Qualifications

• 5년 이상 ML 모델 구축·배포 경험 보유
• 에이전틱 AI 및 LLM 기반 시스템 실무 경험 보유
• Python/R, pandas, NumPy, scikit-learn 숙련
• PyTorch, TensorFlow, Keras 또는 이와 유사한 프레임워크 사용 경험
• MLOps 및 클라우드(AWS/GCP/Azure) 환경에서의 운영 경험
• 데이터 시각화 도구(Shiny, Dash, Tableau) 활용 능력
• 다수의 프로젝트를 독립적으로 관리 가능

Responsibilities

• 문제 정의에서 데이터 수집, 특징공학, 모델 배포까지 전체 라이프사이클 주도
• LLM/RAG 기반 에이전트 설계 및 자율 워크플로우 구축
• 생산 환경에서 모델 배포 및 성능 모니터링
• 통계적 추론, 데이터 마이닝 등 고급 분석으로 인사이트 도출
• 도구/프레임워크 최신 동향을 반영한 기술 혁신 추진
• 다양한 이해관계자와 협력해 프로젝트 목적과 일정 정의

Skills

Machine Learning

Deep Learning

Agentic AI

Python

PyTorch

TensorFlow

MLOps

Data Visualization

Communication

Education

Master’s Degree

PhD

Tools

PyTorch

TensorFlow

Keras

scikit-learn

Job description

## Data Scientist II지원: 하이브리드: Powai, Mumbai, MH: Full time: 오늘 공고: 10130044**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**The Global Knowledge Solutions (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.The Data Scientist II in this program area is expected to: have deep expertise in Machine Learning, Deep Learning, and Agentic AI systems to drive high‐impact analytics and AI solutions. This role will focus on designing, building, and deploying intelligent, autonomous, and scalable AI systems that address complex business and R&D challenges; and manage multiple projects independently or with guidance. This role requires you to operate in 11.00 am to 8.00 pm shift.**KEY ACCOUNTABILITIES**Technical Excellence (70%)* AI Agent Building: Design AI agents leveraging LLMs, RAG, memory, tools, and orchestration frameworks. Implement multi‐step reasoning, task planning, and autonomous workflows using agentic architecture. Evaluate agent performance using custom evaluation metrics, simulators, and feedback loops. Stay current with emerging patterns in GenAI, autonomous agents, and AI safety.* End-to-End Model Development: Independently lead data science projects through the entire lifecycle: from problem definition and data acquisition to feature engineering, model selection, and deployment.* Predictive Modeling & Machine Learning: Design, build, and validate robust machine learning models (e.g., regression, classification, clustering, time-series forecasting) to solve key business challenges in R&D, product innovation, and quality.* Advanced Analytics & Insights: Apply statistical inference, data mining, and advanced analytical techniques to extract actionable insights from complex structured and unstructured data (e.g., text, sensor data).* Machie Learning Ops & Scalability: Build and maintain data and modeling pipelines. Deploy models into production environments and monitor their performance, ensuring scalability and reliability. Working experience on Computer-vision/Image analysis projects.* Technical Innovation: Stay current with advances in data science and machine learning. Evaluate and implement new tools, frameworks (e.g., PyTorch, TensorFlow, Keras, scikit-learn), and methodologies to enhance the team's capabilities.Business Partnership (15%)* Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans.* Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments.* Clearly communicate analysis, conclusions, insights, and conclusions to clients using written reports and real-time meetings.Innovation & Continuous Improvement (10%)* Improve processes and methodologies* Develop new analytical capabilities* Continuously upskill in ML and AI best practicesAdministration (5%)* Complete required trainings and organizational responsibilities**MINIMUM QUALIFICATIONS*** **Education:** Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field* **Experience:** 5+ years building and deploying ML models and working experience on Agentic AI* **Technical Skills:** Strong ML expertise (feature engineering, validation, ensemble models, neural networks)* Proficiency in Python/R (pandas, NumPy, scikit-learn, etc.)* Experience with PyTorch, TensorFlow, Keras, or similar* Hands-on MLOps, Git, and cloud platforms (AWS/GCP/Azure)* Experience deploying production ML systems* Strong data storytelling and visualization skills (Shiny, Dash, Tableau)* Ability to manage multiple projects independently**PREFERRED QUALIFICATIONS*** Certifications in R, Python, or SQL**자격 요건**지원자는 해당 직무가 위치한 국가의 최소 연령 요건을 충족해야 합니다.