Qualification:

• Bachelor’s or Master’s degree in Computer Science, AI, ML, or a related field

Role Focus:

• End-to-End ML Engineering: Build and manage comprehensive ML pipelines
• Advanced LLM Systems: Design and implement sophisticated LLM-based applications
• Generative AI Specialization: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines
• Model Optimization: Fine-tune open-source and proprietary models
• Agentic Frameworks: Develop complex agentic workflows
• Prompt Engineering: Implement expert-level prompt engineering
• Full Lifecycle Ownership: Take complete accountability for the full ML and GenAI lifecycle
• Architectural Leadership: Drive strategic architectural decisions for AI platforms
• Execution Excellence: Write clean, high-performance Python code
• Leadership & Mentoring: Act as a key technical leader, managing stakeholders and mentoring team members
• System Integrity: Manage model and prompt versioning, experiment tracking, and comprehensive documentation

Additional responsibilities:

• Production Reliability: Ensure all AI systems maintain extreme scalability and performance under heavy production workloads
• High-Pressure Optimization: Rapidly optimize inference latency and system costs for ML and LLM systems
• Proactive Problem Solving: Apply strong analytical thinking to address complex challenges
• Robust Guardrails: Implement and manage strict evaluation frameworks and feedback loops

More skills:

AWS, GCP, Azure

Other:

• Antino Labs Private Limited is an IT Digital Transformation Services platform
• The company has branch offices in Bangalore, UK, Dubai, Canada, and the US
• The company provides software services using cutting-edge technology across the globe