Key Responsibilities:-
- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies
- Develop efficient solutions for LLM integration, fine-tuning, and deployment
- Optimize model performance, latency, and resource utilization
- Build and maintain robust data pipelines for training and inference
- Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG)
- Develop evaluation frameworks to measure AI system performance and output quality
- Collaborate with cross-functional teams to understand requirements and deliver solutions
- Mentor junior developers and share AI/LLM knowledge across the organization
- Participate in code reviews and ensure adherence to best practices

Role Requirement :-
- 5+ years of software development experience with at least 3 years focused on AI/ML technologies
- Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)




- Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Solid problem-solving skills and attention to detail.'
- Experience with LLM optimization techniques like quantization and distillation
- Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio)
- Experience with containerization and orchestration tools (Docker, Kubernetes)
- Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development

Qualifications:-
- Bachelors degree in computer science, AI, Machine Learning, or related field
- Master's in AI, B,Tech,MCA, or related field

📌 Data Science(Gen AI (Secunderabad)
🏢 GlobalData Publications
📍 Secunderabad