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Open nowPosted 136 days ago

Lead AI/ML Engineer

Relanto40 open roles

Where
Bengaluru
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Your applicationOpen nowLead AI/ML EngineerRelanto · Bengaluru

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Share of postings closed within
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  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 136 days ago

The posting

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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