Hyderabad / Remote

Job Role:
‍The role involves designing, building, and fine-tuning large language models (LLMs) for both text and voice-based applications. The candidate will drive innovation in generative AI solutions, implement end-to-end ML pipelines, and ensure reliability, scalability, and ethical AI deployment across AI initiatives.

Roles & Responsibilities:

• Design, develop, and deploy large language models (LLMs) for both text and voice use cases.
• Implement fine-tuning, prompt engineering, and optimization for domain-specific Gen AI solutions.
• Architect and manage ML systems leveraging neural networks and transformer architectures.

• Drive implementation of Retrieval-Augmented Generation (RAG) systems and AI agents.

• Collaborate with cross-functional teams to build scalable AI products.

• Conduct data preprocessing, model evaluation, and continuous model improvement.

• Lead projects on responsible AI deployment, bias detection, and model governance.

• Mentor junior engineers and contribute to the AI/ML Centre of Excellence

Education Qualification & Experience: 

• Bachelor’s or Master’s degree from any Tier 1 institution

• Minimum 5-10 Years of hands-on experience with LLM fine-tuning, prompt engineering, and generative AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI)

• Deep understanding of Neural Networks and Transformer-based architectures (GPT, BERT, Llama, etc.)

• Experience building AI systems for both Voice and Text modalities

• Proficiency in Python, TensorFlow, PyTorch, Hugging Face, and related ML frameworks

• Strong understanding of RAG systems and vector databases (Pinecone, Weaviate, ChromaDB)

• Expertise in ML Ops, model deployment, and monitoring (Kubernetes, Docker, CI/CD)

• Knowledge of cloud-based AI services (AWS Sagemaker, Azure ML, GCP Vertex AI)

• Familiarity with NLP, Speech Recognition, and Conversational AI

• Sound understanding of AI ethics, governance, and compliance