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Relanto

Lead AI/ML Engineer

Bengaluru · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 118d ago

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86Overall
64Skills
97Experience

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What we know about this role

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Skills required

26 listed
Retrieval-Augmented Generation (RAG)Machine Learning AlgorithmsMachine LearningHugging FaceVector DatabaseData RetrievalDeep LearningApache Spark+18 more
Retrieval-Augmented Generation (RAG)Machine Learning AlgorithmsMachine LearningHugging FaceVector Database

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Job description

Position: Lead AI/ML Engineer
Location: Bangalore
Employment Type: Full-time
About the Role
We 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.
Key Responsibilities
  • Design, develop, and implement end-to-end AI/ML models and solutions for complex business problems.
  • Work extensively with LLMs, Generative AI, and Retrieval-Augmented Generation (RAG) architectures.
  • Build and optimize ML pipelines using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Leverage vector databases (e.g., FAISS, Pinecone, ChromaDB) for efficient similarity search and data retrieval.
  • Integrate LangChain or LlamaIndex for developing intelligent, context-aware applications.
  • Deploy, monitor, and maintain ML models on AWS, GCP, or Azure environments.
  • Research and apply cutting-edge NLP, deep learning, and machine learning algorithms.
  • Collaborate with cross-functional teams including data engineers, software developers, and product managers to deliver AI-driven solutions.
  • Continuously evaluate and improve existing AI/ML models and workflows.
Required Skills
  • Bachelor's degree in engineering or relevant field
  • 7+ years of hands-on experience in Machine Learning and AI development.
  • Strong proficiency in Python and familiarity with major ML frameworks (TensorFlow, PyTorch, Hugging Face).
  • Proven experience with LLMs, Generative AI, and RAG-based solutions.
  • Working knowledge of vector databases such as FAISS, Pinecone, or ChromaDB.
  • Strong understanding of ML algorithms, deep learning architectures, and NLP techniques.
  • Experience deploying models on cloud platforms (AWS, GCP, Azure).
  • Familiarity with LangChain or LlamaIndex for LLM-based application development (preferred)
  • Expertise in ETL/ELT Tools and Data Warehousing
  • Strong Programming and Scripting Proficiency to build data pipelines
  • Experience with Big Data Technologies like Apache Spark and Cloud Platforms services like S3, Data Factory, EMR, HDInsight, Dataflow
  • Excellent problem-solving and analytical skills.
  • Ability to work in a dynamic, fast-paced environment with minimal supervision.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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