Data Scientist - II

📋 Description

• Stay updated on LLM research, real-time models, and transformers.
• Evaluate techniques for business problems and API features.
• Design AI approaches; prototype solutions; run experiments with SMEs.
• Write production-grade code; build scalable LLM systems; optimize performance.
• Conduct rigorous experiments to evaluate methods and user impact.

🎯 Requirements

• 3-5 years in data science/ML with NLP/LLM focus.
• Bachelor’s or higher in CS/ML/Statistics or related.
• Proven track record deploying production ML/AI systems.
• Python mastery with OOP, patterns, testing.
• Deep experience with PyTorch or TensorFlow.
• LLM frameworks/APIs (OpenAI, Anthropic).

🎁 Benefits

• Experience with voice/speech models and real-time audio processing.
• Knowledge of Model Context Protocol (MCP) and LLM standards.
• MLOps tools: monitoring, versioning, A/B testing.
• Open-source ML/AI contributions or published papers.
• Streaming architectures (Kafka, RabbitMQ).