Machine Learning Engineer Leader
Vor 3 Tagen
We are at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology.
About the RoleThis is an exciting opportunity to join our newly formed AI, Data & Analytics team as a Senior Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role you will integrate AI and ML solutions into our product suite.
Responsibilities- Implement applications powered by Generative AI and Machine Learning models and deploy them in production
- Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
- Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders
- Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI
- Analyse large datasets to identify patterns, trends, and insights that can inform business decisions
- Work with 3 rd party providers of AI products to evaluate and implement solutions achieving our business objectives
- MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience
- At least four years of professional experience in Data Science, Machine Learning and AI
- Outstanding communications skills in English
- Proficiency in programming in Python
- Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain)
- Knowledge of data preprocessing, feature engineering and model evaluation metrics
- Experience using large language models, generative AI and agentic frameworks
- Experience working with Snowflake and/or Databricks or similar tools
- Working experience developing and deploying Machine Learning models in production
- Working experience with Git and Docker
- Strong communication skills to engage with non-technical stakeholders
- Ability to work in a fast-paced environment, working across multiple projects simultaneously
- Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect
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