Senior Machine Learning Data Scientist - Assistant Vice President

Team Description:

ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence.

Role Description:

The ML Solutions team is seeking a Senior Data Scientist to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization.

Responsibilities:

• Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
• Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team.
• Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
• Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that 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.

Recommended Qualifications:

• 8-12 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production.
• Experience with Generative AI technologies essential.
• Understanding of concepts like supervised, unsupervised, clustering, 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, Google ADK or similar.
• Experience with and other open-source frameworks/libraries/APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV.
• Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras.
• 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 framework like ML Flow.
• Hands-on experience with agentic evaluation frameworks and guardrails.
• Experience of Docker container and edited a Docker file, experience with K8s is a plus.
• Experience with Postgres and Vector DBs 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.
• Master’s degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field.

Education: Bachelor’s degree/Master's degree/Ph. D. or equivalent experience.

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