AI Engineer

Key Responsibilities - Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space. - Experiment, iterate, productionize AI/ML solutions. - Build supporting data and Ai/ML infrastructure and tools. Required Skills and Qualifications - Strong knowledge of the latest advancements in AI and machine learning. - Strong fundamentals in computer science. - Proficiency in Python and at least 1 other language such as Java, C++, C#, etc. - Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). - Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc. - Ability to build and evaluate AI models and tools using quantifiable metrics. - Excellent problem-solving skills and ability to work independently as well as part of a team. - Strong communication skills to effectively collaborate with developers and other stakeholders. - Adaptable and willing to work in a start-up-like environment within a major institution. Preferred Qualifications - Advanced degree in Computer Science, AI, Machine Learning, or a related field. - Experience in developing AI solutions for financial institutions. - Knowledge of additional programming languages and frameworks. - 7+ years of relevant experience. Skills: Machine Learning, Artificial Intelligence, C++, Cloud Computing, Java, Python Experience: 7.00-10.00 Years