Associate Staff Engineer - Data Scientist

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

We are looking for an LLM engineer who can support customer L2.5 initiative (analyze LLM issues & fix them through advance analysis).

Key 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.

Must have Skills: Generative AI Fundamentals (Strong), Python for Data Science (Strong), Data science on AWS (Strong), Vector Illustration, RAG.

• 5+ years of professional experience in Python development.
• Hands-on experience with Generative AI models and LLMs such as GPT, BERT, LLaMA, or similar architectures.
• Strong understanding of NLP, deep learning, and model fine-tuning.
• Experience with AI/ML frameworks.
• Knowledge of cloud platforms (AWS, GCP, Azure) for model deployment.
• Proficiency in developing APIs, microservices, and containerized applications using Docker & Kubernetes.
• Familiarity with MLOps practices and model monitoring techniques.
• Strong problem-solving skills and the ability to work in a fast-paced environment.