Lead AI/ML Engineer

Relanto; Bengaluru Urban; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Health coverage for family and parents

Buffet lunch at office (Bengaluru)

Mobile/internet/gym allowance ₹2,000/月

Hybrid work policy: 3 days in office /

Professional development opportunities

Rewards and recognitions

Job summary

Relanto is seeking an experienced AI/ML Engineer to design, develop, and deploy end-to-end AI/ML models across business problems. You will work with LLMs, Generative AI, and RAG architectures, building scalable pipelines using TensorFlow, PyTorch, or Hugging Face.

Leverage FAISS, Pinecone, and ChromaDB for efficient data retrieval in a hybrid work setting. The role requires strong Python expertise, 6+ years in ML/AI, and experience deploying models on AWS, GCP, or Azure.

Qualifications

• Bachelor's degree in engineering or relevant field.
• 6+ 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.

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 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 to deliver AI-driven solutions.
• Continuously evaluate and improve existing AI/ML models and workflows.

Skills

Years of ML/AI exp

Python programming

LLMs / Generative AI

RAG-based solutions

Vector databases

LangChain or LlamaIndex

ML algorithms & NLP

Cloud deployment (AWS/GCP/Azure)

Big data tech (Spark)

Problem solving / analytics

Data pipelines scripting

Education

Bachelor's degree in engineering or relevant field

Tools

TensorFlow

PyTorch

Hugging Face

FAISS

Pinecone

ChromaDB

LangChain

LlamaIndex

AWS

GCP

Azure

Apache Spark

Job description

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
• 6+ 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.
• Health and Wellness: Healthcare policy covering your family and parents.
• Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore, Hyderabad).
• Claim up to ₹2,000 per month for mobile, internet, and gym expenses.
• Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.
• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.
• Rewards and Recognitions: Recognition and rewards programs in place to celebrate your achievements and contributions.

To find out more about us, head over to our Website and LinkedIn