Optimize client engagement through CCB Field employees and tools, reinventing CRMs and client/employee interactions at the firm by leveraging ML tools and algorithms to deliver the right solutions.
Requirements
At least 5 year's experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
Experience in applying data science, ML techniques to solve business problems.
Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
Experience with machine learning and deep learning methods.
Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow
In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
Responsibilities
Serve as a subject matter expert on a wide range of ML techniques and optimizations.
Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
Conducting experiments using latest ML technologies, analyzing results, tuning models.
Actively engage in hands-on coding to convert experimental results into robust production solutions.
Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Other
Bachelor's degree with 7 years of applied machine learning experience.
Ability to work on tasks and projects through to completion with limited supervision.
Passion for detail and follow through.
Excellent communication skills and team player.
MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 5 years of applied machine learning experience preferred.
