Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
LP
GenAI ML Engineer
Posted via LinkedIn Recruiter (not a company profile)
Posted 3 months ago
About the role
- Develop and deploy generative AI solutions and LLMs. Build innovative AI applications and ML pipelines.
Responsibilities
- Design and implement generative AI models for text, code, and multimodal applications; fine-tune, optimize, and deploy large language models (GPT, Claude, Llama, etc.); develop training pipelines for custom generative models and foundation model adaptation; build robust ML applications, APIs, and services using Python and ML frameworks; create and optimize prompts for various LLM applications; implement evaluation frameworks for generative AI model performance and safety; deploy and monitor ML models in production environments; stay current with latest GenAI research; build data preprocessing and feature engineering pipelines; collaborate with product, engineering, and data science teams.
Requirements
- Total Experience: 6-8 years. Required: Deep expertise in ML algorithms, neural networks, and model optimization; hands-on experience with GANs, VAEs, diffusion models, and transformer architectures; proficiency in working with LLMs, fine-tuning, and deployment strategies; expert-level Python programming with ML libraries (PyTorch, TensorFlow, Hugging Face, Lang Chain); experience with model versioning, monitoring, and production deployment; knowledge of AWS, Azure, GCP ML services and GPU computing.
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