GenAI ML Engineer

GenAI ML Engineer

Required Skill Sets:

• We are seeking a talented GenAI ML Engineer to develop and deploy cutting-edge generative AI solutions and large language models.
• This role focuses on building innovative AI applications, fine-tuning LLMs, and implementing machine learning pipelines to solve complex business problems using the latest advances in generative artificial intelligence.
• Generative AI Development Design and implement generative AI models for text, code, and multimodal applications
• LLM Engineering Fine-tune, optimize, and deploy large language models (GPT, Claude, Llama, etc.)
• Model Training Develop training pipelines for custom generative models and foundation model adaptation
• Python Development Build robust ML applications, APIs, and services using Python and ML frameworks
• Prompt Engineering Create and optimize prompts for various LLM applications and use cases
• Model Evaluation Implement evaluation frameworks for generative AI model performance and safety
• Production Deployment Deploy and monitor ML models in production environments with proper scaling
• Research Innovation Stay current with latest GenAI research and implement state-of-the-art techniques
• Data Pipeline Management Build data preprocessing and feature engineering pipelines for ML workflows
• Collaboration Work closely with product, engineering, and data science teams to deliver AI solutions
• Machine Learning Deep expertise in ML algorithms, neural networks, and model optimization
• Generative AI Hands-on experience with GANs, VAEs, diffusion models, and transformer architectures
• Large Language Models Proficiency in working with LLMs, fine-tuning, and deployment strategies
• Python Expert-level Python programming with ML libraries (PyTorch, TensorFlow, Hugging Face, Lang Chain)
• MLOps Experience with model versioning, monitoring, and production deployment
• Cloud Platforms Knowledge of AWS Azure GCP ML services and GPU computing

Desired Skill Set:

• ML
• GenAI
• LLM
• Python