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Lepton Software
Principal Engineer - AI and Machine Learning
Lepton Software
Gurugram•On-site•5-8 Yrs•Jun 24
Job description
Overview
As a Principal Engineer - AI and Machine Learning at our company, you will play a crucial role in leading the architecture and technical strategy for our data platforms, AI/ML systems, and GenAI infrastructure.
Responsibilities
- **Data Platform Architecture:**
- Design and drive modern enterprise data platform architecture.
- Build scalable systems for data ingestion, processing, transformation, and storage.
- Enable reliable and governed data access for analytics, ML models, and AI applications.
- **Data Engineering:**
- Develop and manage large-scale data pipelines and ETL/ELT systems.
- Implement modern data architectures such as: Data Lake, Data Warehouse, Lakehouse Architecture.
- Ensure scalability, reliability, and performance of data infrastructure.
- **AI / Machine Learning Engineering:**
- Build infrastructure for training, deploying, and monitoring ML models.
- Develop scalable ML pipelines and feature engineering systems.
- Enable product teams to integrate AI-powered capabilities into applications.
- **Generative AI and LLM Systems:**
- Drive adoption of Generative AI technologies across products.
- Design systems using Large Language Models (LLMs) for intelligent automation and data-driven applications.
- Build architectures for: LLM Integration, Retrieval-Augmented Generation (RAG), Vector Search Systems, AI Agents and Copilots.
- Evaluate and integrate modern GenAI frameworks and tooling.
- **MLOps and AI Infrastructure:**
- Build and maintain infrastructure for: Model Training, Model Versioning, Model Deployment, Monitoring and Observability, Experimentation Frameworks.
- Establish MLOps best practices for reliable production ML systems.
- **Data Governance and Quality:**
- Implement frameworks for: Data Lineage, Data Quality Monitoring, Access Controls, Compliance and Governance, and AI Adoption Across Products.
- Partner with product engineering teams to enable: Predictive Analytics, Recommendation Systems, Intelligent Automation, AI-driven Decision Systems, GenAI-powered Product Features.
- **Data Platform Architecture:**
- Design and drive modern enterprise data platform architecture.
- Build scalable systems for data ingestion, processing, transformation, and storage.
- Enable reliable and governed data access for analytics, ML models, and AI applications.
- **Data Engineering:**
- Develop and manage large-scale data pipelines and ETL/ELT systems.
- Implement modern data architectures such as: Data Lake, Data Warehouse, Lakehouse Architecture.
Qualifications
- Strong experience in distributed data processing and data pipelines, Data Lake / Lakehouse architectures, Streaming and real-time data processing, Large-scale analytics platforms, Machine Learning Systems.
- Hands-on experience with ML pipelines and feature stores, Model training and deployment, ML model monitoring and lifecycle management, and Generative AI.
- Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector databases and embedding systems, AI agents and copilots, Prompt engineering and LLM orchestration frameworks.
- 5+ years of hands-on experience in building and architecting production-grade Data and AI/ML systems.
- Proven experience in designing and implementing large-scale data platforms and ML infrastructure.
- Strong expertise in Generative AI and LLM-based production applications.