Data Scientist

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 Strong 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