{"id":2780051,"url":"https://alion.io/job/relanto-lead-aiml-engineer","title":"Lead AI/ML Engineer","company":{"id":4442664,"name":"Relanto","domain":"relanto.ai","url":"https://alion.io/company/relanto-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":63000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-06-09T02:42:26Z","employer_posted_date":"2026-06-09","last_verified_at":"2026-10-18T01:30:15Z","board_verified":true,"closed_at":null,"days_open":130,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":130},"description":"Position: Lead AI/ML Engineer\nLocation: Bangalore\nEmployment Type: Full-time\nAbout the Role\nWe are seeking a highly skilled AI/ML Engineer with deep expertise in designing, developing, and deploying machine learning and generative AI solutions. The ideal candidate will have extensive hands-on experience with modern ML frameworks, LLMs, and RAG architectures, and be capable of building scalable, production-ready AI systems.\nKey Responsibilities\nDesign, develop, and implement end-to-end AI/ML models and solutions for complex business problems.\nWork extensively with LLMs, Generative AI, and Retrieval-Augmented Generation (RAG) architectures.\nBuild and optimize ML pipelines using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.\nLeverage vector databases (e.g., FAISS, Pinecone, ChromaDB) for efficient similarity search and data retrieval.\nIntegrate LangChain or LlamaIndex for developing intelligent, context-aware applications.\nDeploy, monitor, and maintain ML models on AWS, GCP, or Azure environments.\nResearch and apply cutting-edge NLP, deep learning, and machine learning algorithms.\nCollaborate with cross-functional teams including data engineers, software developers, and product managers to deliver AI-driven solutions.\nContinuously evaluate and improve existing AI/ML models and workflows.\nRequired Skills\nBachelor's degree in engineering or relevant field\n7+ years of hands-on experience in Machine Learning and AI development.\nStrong proficiency in Python and familiarity with major ML frameworks (TensorFlow, PyTorch, Hugging Face).\nProven experience with LLMs, Generative AI, and RAG-based solutions.\nWorking knowledge of vector databases such as FAISS, Pinecone, or ChromaDB.\nStrong understanding of ML algorithms, deep learning architectures, and NLP techniques.\nExperience deploying models on cloud platforms (AWS, GCP, Azure).\nFamiliarity with LangChain or LlamaIndex for LLM-based application development (preferred)\nExpertise in ETL/ELT Tools and Data Warehousing\nStrong Programming and Scripting Proficiency to build data pipelines\nExperience with Big Data Technologies like Apache Spark and Cloud Platforms services like S3, Data Factory, EMR, HDInsight, 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