Associate Staff Engineer, Data Science

You are a professional with over 5 years of experience in data science, focusing on predictive modeling and optimization. Your expertise includes hands-on experience in Data Science on GCP, Generative AI fundamentals, and proficiency in Python (and/or R), SQL, and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. You have a strong understanding of Cloud Architecture and the deployment of data solutions in cloud ecosystems like Azure, GCP, and AWS. Additionally, you have experience in deploying ML models in production using tools like MLflow, Kubeflow, Docker, and Kubernetes. Your proven expertise encompasses machine learning, mathematical optimization, and NLP techniques, including LP, IP, genetic algorithms, RL, and familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. You also possess a strong grasp of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams are essential for this role. Your responsibilities in this role include writing and reviewing high-quality code, understanding clients" business use cases and technical requirements to translate them into technical designs, mapping decisions with requirements, identifying and narrowing down the best solutions, defining guidelines and benchmarks for NFR considerations during project implementation, writing design documents, reviewing architecture and design aspects, developing and designing solutions for functional and non-functional requirements, understanding technology integration scenarios, resolving issues raised during code/review through systematic analysis, and carrying out POCs to ensure suggested designs/technologies meet requirements. You hold a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,