• Deep technical understanding of Data and Analytics paradigms and technologies, including Cloud (AWS, Azure), Databases/Warehouses (Snowflake, Oracle), etc.
• Extensive experience in designing and implementing AI/ML solutions, preferably in the financial services or asset management industry.
• Hands-on experience with LLM and embedding models.
• Strong programming skills, particularly in Python, and experience with Machine Learning frameworks like TensorFlow, PyTorch, or Keras.
• Familiarity with cloud-based AI/ML platforms.

• Develop and deploy cutting-edge AI and machine learning models to support investment decision-making, portfolio optimization, and risk management.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI-driven solutions.
• Implement and maintain robust data pipelines, ensuring the integrity, security, and accessibility of data used for AI/ML applications by working with SLC’s Data Platform.
• Work with SLC’s Cloud Engineering team to continuously research and evaluate emerging AI/ML techniques, tools, and technologies to identify opportunities for improvement and innovation.

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