Walk-in | Machine Learning Engineer

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

Job summary

Infiniti Research in Bengaluru seeks a Gen AI - Data Science Analytics Consultant to design and deploy LLM-powered solutions. 3–5 years of experience in AI and analytics preferred.

You will build RAG pipelines, integrate AI features into enterprise systems, and collaborate with data and frontend teams while ensuring security and scalability. Proficiency in Python, REST APIs, and cloud deployment (Azure/AWS/GCP) is required, along with hands-on MLOps experience using Docker/Kubernetes and CI/CD

Qualifications

• Strong experience with LLMs (OpenAI, Azure OpenAI, LangChain, LlamaIndex).
• Hands-on expertise in RAG architectures and vector databases (Pinecone, FAISS, Weaviate, Redis).
• Proficiency in Python and frameworks like FastAPI, Flask, or Django.
• Experience deploying models on cloud platforms (Azure, AWS, GCP).
• Familiarity with REST APIs, JSON parsing, and data integration workflows.
• Knowledge of MLOps, Docker, Kubernetes, and CI/CD practices.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and deploy LLM-powered applications using OpenAI, Azure OpenAI, and Hugging Face frameworks.
• Build RAG pipelines using embeddings, retrievers, and vector databases such as Pinecone, FAISS, or Weaviate.
• Implement prompt engineering, fine-tuning, and optimization for domain-specific use cases.
• Develop and maintain Python-based microservices using FastAPI, Flask, or Streamlit for AI model integration.
• Collaborate with data and frontend teams to integrate AI-powered search, summarization, and conversational assistants into enterprise systems.
• Ensure data security, scalability, and compliance in AI solutions.
• Continuously explore the latest AI/ML research, tools, and frameworks to enhance solution performance.

Skills

LLMs

RAG architectures

Python

Cloud platforms

REST APIs

JSON parsing

MLOps

Docker

Kubernetes

CI/CD

Analytical

Communication

Tools

FastAPI

Flask

Django

Azure

AWS

GCP

Pinecone

FAISS

Weaviate

Redis

LangChain

LlamaIndex

OpenAI

Azure OpenAI

Job description

GEN AI - Data Science - Analytics Consultants / Sr. Analytics Consultant

Yrs of Exp: 3 to 5

Notice Period: 0 - 15 days

Key Responsibilities

Design, develop, and deploy LLM-powered applications using OpenAI, Azure OpenAI, and Hugging Face frameworks.

Build RAG pipelines using embeddings, retrievers, and vector databases such as Pinecone, FAISS, or Weaviate.

Implement prompt engineering, fine-tuning, and optimization for domain-specific use cases.

Develop and maintain Python-based microservices using FastAPI, Flask, or Streamlit for AI model integration.

Collaborate with data and frontend teams to integrate AI-powered search, summarization, and conversational assistants into enterprise systems.

Ensure data security, scalability, and compliance in AI solutions.

Continuously explore the latest AI/ML research, tools, and frameworks to enhance solution performance.

Required Skills & Experience

Strong experience with LLMs (OpenAI, Azure OpenAI, LangChain, LlamaIndex).

Hands-on expertise in RAG architectures and vector databases (Pinecone, FAISS, Weaviate, Redis).

Proficiency in Python and frameworks like FastAPI, Flask, or Django.

Experience deploying models on cloud platforms (Azure, AWS, GCP).

Familiarity with REST APIs, JSON parsing, and data integration workflows.

Knowledge of MLOps, Docker, Kubernetes, and CI/CD practices.

Strong analytical, problem-solving, and communication skills.

Good to Have

Experience with observability tools like MLflow, LangSmith, or Weights & Biases.

Exposure to voice-based AI assistants or AI narration systems.

Prior experience with NLP-driven applications in domains like finance, healthcare, or marketing.

Contributions to open-source AI/ML projects.