AIML lead

Indihire Consultants; Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Indihire Consultants seeks an experienced AI/ML Engineer to design, develop, and deploy end-to-end AI/ML solutions for complex business problems in Bengaluru. You will work with LLMs, Generative AI, and RAG architectures to build scalable, production-ready systems.

The role requires hands-on expertise with ML frameworks, vector databases, and cloud platforms, plus strong collaboration with data engineers, software developers, and product managers. 7+ years of experience is preferred.

Qualifications

• 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 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.
• Work with LLMs, Generative AI, and Retrieval-Augmented Generation (RAG).
• Build and optimize ML pipelines using TensorFlow, PyTorch, or Hugging Face Transformers.
• Leverage vector databases (FAISS, Pinecone, ChromaDB) for retrieval.
• Integrate LangChain or LlamaIndex for context-aware apps.
• Deploy, monitor, and maintain ML models on AWS, GCP, or Azure.
• Research and apply cutting-edge NLP and ML algorithms.
• Collaborate with data engineers, software developers, and product managers.
• Continuously evaluate and improve AI/ML models and workflows.

Skills

Python

LLMs

RAG

NLP

Cloud deployment

Spark

Data pipelines

ETL/ELT

Problem solving

Education

Bachelor's degree in engineering or relevant field

Tools

TensorFlow

PyTorch

Hugging Face

FAISS

Pinecone

ChromaDB

LangChain

LlamaIndex

AWS

GCP

Azure

Job description

Role & responsibilities

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.

Preferred candidate profile

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. Need

Strong expertise with System Designing.

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.