Lead AI/ML Engineer

Role: Lead AI & ML/ Associate Architect -AI/ML\nExperience: 8+ years\nLocation: Hyderabad\nFission Labs , headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.\nAI/ML Associate Architect, you will be part of a high-impact team that designs and develops data-driven solutions for complex business challenges. You’ll work on end-to-end AI and ML systems — from data exploration and model development to large-scale deployment and optimization in cloud environments.\n\nResponsibilities\nDesign and architect complex Generative AI solutions using AWS technologies.\nDevelop advanced AI architectures incorporating state-of-the-art GenAI technologies.\nCreate and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions.\nArchitect scalable AI systems using AWS Bedrock and SageMaker.\nDesign and implement agentic AI systems with advanced reasoning capabilities.\nDevelop custom AI solutions leveraging vector databases and advanced machine learning techniques.\nEvaluate and integrate emerging GenAI technologies and methodologies.\n\nTechnical Expertise Requirements\nGenerative AI Technologies\nExpert-level understanding of:\nRetrieval Augmented Generation (RAG)\nGraphRAG methodologies\nLoRA (Low-Rank Adaptation) techniques\nVector Database architectures\nAgentic AI design principles\nComprehensive expertise in AWS AI services:\nAWS Bedrock\nAmazon SageMaker\nAWS AI/ML services ecosystem\nCloud-native AI solution design\n\nTechnical Skills\nAdvanced Python programming for AI/ML applications\nDeep understanding of:\nLarge Language Models (LLMs)\nMachine Learning architectures\nPreferred Qualifications\nAI model fine-tuning techniques\nPrompt engineering\nAI system design and integration\nMachine Learning Frameworks:\nPyTorch\nTensorFlow\nHugging Face\nAI Integration Tools - LangChain / LlamaIndex\n\nCore Competencies\nAdvanced AI solution architecture\nMachine learning model optimization\nCloud-native AI system design\nPerformance tuning of GenAI solutions\nEnterprise AI strategy development\n\nYou would enjoy\nOpportunity to work on impactful technical challenges with global reach.\nVast opportunities for self-development, including online university access and knowledge sharing opportunities.\nSponsored Tech Talks & Hackathons to foster innovation and learning.\nGenerous benefits packages including health insurance, retirement benefits, flexible work hours, and more.\nSupportive work environment with forums to explore passions beyond work.