PRINCIPAL ENGINEER - AI & MACHINE LEARNING
Lepton Software Export & Research · Gurgaon
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Employer requisition: #JO1140
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Collected role description
About Lepton Software Lepton Software builds enterprise technology platforms combining location intelligence, large-scale data platforms, and cloud-native systems. Solutions support telecom operators, enterprises, and government organizations with data analytics, geospatial intelligence, and AI-driven systems. Job Summary Lepton Software is hiring a Principal Engineer - AI & Machine Learning to lead technical strategy for data platforms, machine learning systems, and AI/GenAI infrastructure. This is an individual contributor role focused on architecture, innovation, and cross-functional collaboration. The role includes defining data architecture, ML engineering platforms, and GenAI infrastructure powering enterprise products. Key Responsibilities 1. Data Platform Architecture • Design and lead modern data platform architecture • Build scalable systems for data ingestion, processing, transformation, and storage • Enable governed and reliable data access for analytics, ML models, and AI applications 2. Data Engineering • Build and manage large-scale data pipelines and ETL/ELT systems • Implement Data Lake, Data Warehouse, and Lakehouse architectures • Ensure scalability, reliability, and performance of data infrastructure 3. AI / Machine Learning Engineering • Build infrastructure for training, deploying, and monitoring ML models • Develop scalable ML pipelines and feature engineering systems • Enable AI-powered capabilities within applications 4. Generative AI & LLM Systems • Drive adoption of Generative AI technologies across products • Design systems using Large Language Models (LLMs) • Build architectures for: • LLM integration • Retrieval-Augmented Generation (RAG) • Vector search systems • AI agents and copilots • Evaluate and integrate GenAI frameworks and tools 5. MLOps & AI Infrastructure • Build infrastructure for: • Model training • Model versioning • Model deployment • Monitoring and observability • Experimentation frameworks • Establish MLOps best practices for production ML systems 6. Data Governance & Quality • Implement frameworks for: • Data lineage • Data quality monitoring • Access controls • Compliance and governance 7. AI Adoption Across Products • Partner with engineering teams to enable: • Predictive analytics • Recommendation systems • Intelligent automation • AI-driven decision systems • GenAI-powered product features Technical Skills & Qualifications Data Platforms Strong experience with: • Data pipelines and distributed data processing • Data lake and lakehouse architectures • Streaming and real-time data processing • Large-scale analytics platforms Machine Learning Systems Experience with: • ML pipelines and feature stores • Model training and deployment • ML model monitoring and lifecycle management 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 Required Qualifications • 5+ years of hands-on experience building production data and AI/ML systems • Experience designing and implementing large-scale data platforms and ML infrastructure • Strong understanding of Generative AI and LLM-based applications in production Preferred Qualifications • Experience building AI-powered enterprise platforms • Experience integrating GenAI features into production systems • Experience with large-scale data environments • Familiarity with geospatial or location intelligence data Why Join Lepton Software • Work on large-scale data and AI platforms • Build next-generation AI and GenAI capabilities • Solve complex real-world problems using data and AI
Collected experience requirement
5+ years