Data Scientist

About the job

Role Overview We are seeking a highly skilled Data Scientist to design, develop and deploy advanced AI solutions leveraging cutting-edge Generative AI technology. The candidate should have hands-on experience in building Generative AI solutions using various Large Language Models, techniques such as RAG, Agentic AI and demonstrate expertise in querying and transforming structured datasets. Key Responsibilities • Gen AI Development: Using and fine-tune generative AI models (LLMs, diffusion models, GANs, etc.) for text, image, and multimodal applications. Built Gen AI solutions using LangChain, LangGraph for essential tasks like Chunking, Vectorization & Retrieval using Vector DB, Knowledge Augmentation using RAG and Agentic AI. • Structured Data Querying & Processing: Develop robust data pipelines for structured data sources (SQL/NoSQL databases, data warehouses). Write efficient queries and transformations for large-scale datasets, ensuring data quality and consistency for downstream AI/ML tasks. • ML Engineering: Design, implement, and maintain robust ML pipelines for data ingestion, model training, validation, deployment, and monitoring. Automate workflows using CI/CD tools, manage experiment tracking, and facilitate model versioning and rollback strategies. • Feature Engineering: Prepare and preprocess large datasets for training and evaluation. • Model Evaluation: Implement Observability of the AI solutions using tools like LangSmith, MLflow and monitor performance metrics to analyze performance and plan for enhancements • Cloud Deployment: Deploy AI models on AWS services (SageMaker, Lambda, ECS, EKS) ensuring high availability and performance. • Optimization: Implement model compression, inference optimization, and cost-efficient deployment strategies. • DevOps & MLOps: Develop automated pipelines for training, testing, and deployment using AWS & Git Workflow CI/CD tools. Identify retraining phase of AI models based on Model/Data/Concept Drift indicators. • Research & Innovation: Stay updated on the latest advancements in generative AI and integrate them into business solutions. • Collaboration: Work closely with the stakeholders to deliver AI-driven features.

Requirements

• Python
• LangChain
• LangGraph
• LangSmith
• SciKit
• Numpy
• Pandas

Qualifications

• Bachelor’s/master’s in computer science
• Data Science
• AI/ML or related field

Preferred Technologies

• Python
• LangChain
• LangGraph
• LangSmith
• SciKit
• Numpy
• Pandas

About the company

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.