ML Engineer

Razorthink; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Razorthink is seeking an ML Engineer / Senior ML Engineer with hands-on GenAI experience. You will design and implement GenAI models and pipelines using LLMs, transformers, and related tools. Collaboration with cross-functional teams will drive innovative AI solutions across business problems.

Key focus areas include prompt engineering, model fine-tuning, evaluation, and deployment in cloud or hybrid environments. 2+ years in GenAI/LLMs and strong Python experience are required.

Qualifications

• 2+ years in ML/AI with GenAI/LLMs focus.
• Strong Python and deep learning frameworks experience.
• Experience with prompt engineering and fine-tuning.
• Hands-on with LangChain, LlamaIndex, and vector stores.

Responsibilities

• Develop and fine-tune GenAI models using LLMs for tasks like summarization and content generation.
• Build end-to-end GenAI solutions including prompt engineering and deployment.
• Create and optimize RAG pipelines with vector stores and retrieval techniques.
• Collaborate with product and engineering to identify AI opportunities.

Skills

Python

Transformers

Hugging Face

PyTorch

TensorFlow

NLP

Language modeling

Prompt engineering

Fine-tuning

Few-shot learning

LangChain

LlamaIndex

vllm

Vector stores

Embedding models

Retrieval techniques

Model deployment

Azure

AWS

GCP

MLOps

Tools

LangChain

LlamaIndex

vllm

FAISS

Pinecone

Weaviate

Job description

We are looking for a ML Engineer /Senior ML Engineer with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques.

Key Responsibilities:

• Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc.
• Build end-to-end GenAI-powered solutions including prompt engineering, model training/fine-tuning, evaluation, and deployment.
• Use frameworks like LangChain, LlamaIndex, and vector databases (e.g., FAISS, Pinecone, Weaviate) to build RAG (Retrieval-Augmented Generation) pipelines.
• Collaborate with product, engineering, and business stakeholders to identify AI opportunities and prototype solutions.
• Conduct experiments, evaluate model performance, and optimize for accuracy, latency, and relevance.
• Contribute to the development of GenAI best practices and reusable assets within the organization.
• Stay up to date with the latest research and developments in the GenAI and LLM space.

Required Skills and Experience:

• 2+ years of experience in ML/AI roles, with 2+ focus on GenAI or LLMs.
• Strong Python skills and experience with transformers, Hugging Face, PyTorch, or TensorFlow.
• Deep understanding of NLP, language modeling, and generative techniques.
• Experience with prompt engineering, fine-tuning or few-shot learning.
• Hands-on experience with LangChain, LlamaIndex, vllm or similar GenAI orchestration frameworks.
• Working knowledge of vector stores, embedding models, and retrieval techniques.
• Experience with model deployment in cloud or hybrid environments (e.g., Azure, AWS, GCP).
• Familiarity with MLOps tools and best practices is a plus.