AI/ML Engineer – GenAI & LLM || Immediate Joiners

Value Spectrum Technologies; Hyderabad; Sur place; INR 1 800 000 - 2 400 000; Plein temps

Résumé du poste

Value Spectrum Technologies in Hyderabad, India seeks an experienced AI/ML Engineer with strong expertise in Generative AI, LLMs, and machine learning to design, develop, and deploy intelligent AI solutions.

You will work with Python, ML frameworks, LLMs, RAG, prompt engineering, vector databases, and AI application development to build scalable, production-ready AI solutions across teams.

Qualifications

• Experience with Generative AI, LLMs, and machine learning.
• Hands-on with Python and ML frameworks; experience with vector databases and RAG.
• Experience deploying AI/ML solutions and building production-ready applications.

Responsabilités

• Design, develop, and deploy AI/ML solutions for real-world use cases.
• Build applications using LLMs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar models.
• Develop Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, document processing, and semantic search.
• Implement prompt engineering, prompt optimization, and LLM evaluation techniques.
• Develop AI/ML models and pipelines using Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Build intelligent applications using LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Work with vector databases such as FAISS, Pinecone, Weaviate, Milvus, Chroma, or Azure AI Search.
• Develop and integrate REST APIs and microservices for AI/ML applications.
• Implement CI/CD and MLOps practices for reliable deployment and lifecycle management of AI models.

Connaissances

Generative AI

LLMs

Machine Learning

Outils

Python

PyTorch

TensorFlow

Scikit-learn

LangChain

LangGraph

LlamaIndex

FAISS

Pinecone

Weaviate

Milvus

Chroma

Azure AI Search

REST APIs

Description du poste

Key Responsibilities

We are looking for an experiencedAI/ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Machine Learningto design, develop, and deploy intelligent AI solutions.

The ideal candidate will have hands-on experience withPython, ML frameworks, LLMs, RAG, prompt engineering, vector databases, and AI application development. You will work closely with engineering and product teams to build scalable, production-ready AI solutions.

Key Responsibilities

AI/ML Engineer – GenAI & LLM

Experience:3+ Years

Location:Hyderabad / India

Employment Type:Full-Time

Job Summary

We are looking for an experiencedAI/ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Machine Learningto design, develop, and deploy intelligent AI solutions.

The ideal candidate will have hands-on experience withPython, ML frameworks, LLMs, RAG, prompt engineering, vector databases, and AI application development. You will work closely with engineering and product teams to build scalable, production-ready AI solutions.

Key Responsibilities

• Design, develop, and deployAI/ML and Generative AI solutionsfor real-world business use cases.
• Build applications usingLLMs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar models.
• DevelopRetrieval-Augmented Generation (RAG)pipelines using embeddings, vector databases, document processing, and semantic search.
• Implementprompt engineering, prompt optimization, and LLM evaluationtechniques.
• Develop AI/ML models and pipelines usingPython and frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Build intelligent applications usingLangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Work with vector databases such asFAISS, Pinecone, Weaviate, Milvus, Chroma, or Azure AI Search.
• Develop and integrateREST APIs and microservicesfor AI/ML applications.
• Implement model monitoring, logging, evaluation, and performance optimization for production AI systems.
• Fine-tune or customize LLMs using appropriate techniques such asfine-tuning, PEFT, LoRA, or prompt-based adaptationwhere required.
• Work with structured and unstructured data to develop ML and GenAI solutions.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to translate requirements into AI solutions.
• Deploy AI/ML workloads on cloud platforms such asAWS, Azure, or GCP.
• Implement CI/CD and MLOps practices for reliable deployment and lifecycle management of AI models.