Associate Staff Data Scientist

Summary

Join our dynamic and rapidly growing Digital Product Engineering company as an LLM engineer! Support our customer L2.5 initiative by analyzing and resolving LLM issues through advanced analysis. You will design, develop, and optimize AI-powered applications using Python, Generative AI, and LLMs. Implement, fine-tune, and deploy LLMs for various use cases, collaborating with data scientists and product teams. Optimize model performance and stay current with the latest advancements in AI and NLP. This role requires extensive experience with Python, Generative AI models, and cloud platforms.

Requirements

• Possess strong Generative AI Fundamentals
• Possess strong Python for Data Science skills
• Possess strong Data science on AWS skills
• Have Vector Illustration skills
• Have RAG skills
• Have 5+ years of professional experience in Python development
• Have hands-on experience with Generative AI models and LLMs such as GPT, BERT, LLaMA, or similar architectures
• Have a strong understanding of NLP, deep learning, and model fine-tuning
• Have experience with AI/ML frameworks
• Have knowledge of cloud platforms (AWS, GCP, Azure) for model deployment
• Be proficient in developing APIs, microservices, and containerized applications using Docker & Kubernetes
• Have familiarity with MLOps practices and model monitoring techniques
• Possess strong problem-solving skills and the ability to work in a fast-paced environment

Responsibilities

• Design, develop, and optimize AI-powered applications leveraging Python, Generative AI, and LLMs
• Implement, fine-tune, and deploy Large Language Models (LLMs) for various use cases
• Work with state-of-the-art AI/ML frameworks
• Develop APIs and microservices to integrate AI models into scalable applications
• Collaborate with data scientists, ML engineers, and product teams to refine AI solutions
• Optimize model performance and inference time for real-world applications
• Stay updated with the latest advancements in AI, NLP, and deep learning