Preferred Qualifications:
Experience in AI/ML in the healthcare sector
Experience working with cross-functional and distributed teams in a global and diverse environment
Experience in establishing AI/ML best practices, standards, RUAI, and ethics
Required Qualifications:
Proven solid Python programming skills and experience with deep learning popular frameworks such as PyTorch
Proficiency in SQL and other programming languages for data analysis and modeling
Proficiency with cloud development environments such as Azure, AWS, and GCP
Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM)
Experience with LLM frameworks and/or NLP approaches such as text embedding
Experience working on collaborative software projects using GitHub
Proven solid technical communication skills
Experience with both traditional machine learning algorithms and modern deep learning and generative AI models
Proven good knowledge of GPU use, and the ability to rapidly set up pipelines for testing new ideas
Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions
Skill Set; NLP, NLU, NLI, Transformers, Attention, GPT, Llama, Mistral, Model Quantization, Model Optimization, Retrieval & Ranking, RAG, RAGAS
Statistics, Machine Learning Models, Model Deployment
Proven excellent communication, writing, and presentation skills
Proven advanced understanding of Deep Learning with applications in Time series Processing, NLP, and multimodal modeling
Mandatory Skills: AI Cognitive .
Experience: 5-8 Years .