Job
Description
Role Overview: You will be joining the ML Solutions team within Markets OPS Technology, which is focused on developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. As a Data Scientist/Machine Learning Engineer, your primary responsibility will be to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. You will play a crucial role in guiding a team from initial concept to successful production, mentoring team members, collaborating with business partners, and ensuring adherence to regulatory requirements through cutting-edge technical solutions. Key Responsibilities: - **Hands-On Execution and Delivery:** Actively contribute to the development and delivery of AI solutions, ensuring that AI models are successfully deployed into production environments meeting high-quality standards and performance benchmarks. - **Mentoring Young Talents:** Guide data analysts/ML engineers from concept to production, foster technical growth, provide project oversight, and ensure adherence to best practices to build a high-performing and innovative team. - **Quality Control:** Ensure the quality and performance of generative AI models through rigorous testing and evaluation. - **Research and Development:** Participate in research activities to explore and advance state-of-the-art generative AI techniques, monitor ongoing research efforts, and keep abreast of emerging trends to ensure the Generative AI team remains at the forefront of the field. - **Cross-Functional Collaboration:** Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Qualifications Required: - 8 to 13 years of strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies is essential. - Understanding of concepts like supervised, unsupervised, clustering, and embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as Langchain, Lang Graph, Crew AI, or similar. - Experience with open-source frameworks/libraries/APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with frameworks like ML Flow. - Experience with Docker container and editing a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs is a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Publications and contributions to the AI research community are a plus. - Masters degree/Ph.D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience. Role Overview: You will be joining the ML Solutions team within Markets OPS Technology, which is focused on developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. As a Data Scientist/Machine Learning Engineer, your primary responsibility will be to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. You will play a crucial role in guiding a team from initial concept to successful production, mentoring team members, collaborating with business partners, and ensuring adherence to regulatory requirements through cutting-edge technical solutions. Key Responsibilities: - **Hands-On Execution and Delivery:** Actively contribute to the development and delivery of AI solutions, ensuring that AI models are successfully deployed into production environments meeting high-quality standards and performance benchmarks. - **Mentoring Young Talents:** Guide data analysts/ML engineers from concept to production, foster technical growth, provide project oversight, and ensure adherence to best practices to build a high-performing and innovative team. - **Quality Control:** Ensure the quality and performance of generative AI models through rigorous testing and evaluation. - **Research and Development:** Participate in research activities to explore and advance state-of-the-art generative AI techniques, monitor ongoing research efforts, and keep abreast of emerging trends to ensure the Generative AI team remains at the forefront of the field. - **Cross-Functional Collaboration:** Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Qualifications Required: - 8 to 13 years of strong hands-on experience in Machine Learning, delivering c
