Franklin Templeton is looking to modernize investment processes and insights by developing new and innovative AI and machine learning (ML) solutions to enhance decision-making and automation.
Requirements
- Strong Python and SQL skills; experience with PyTorch, TensorFlow, or scikit-learn
- Familiarity with AWS, Azure, or GCP; knowledge of MLOps frameworks
- experience with LLMs preferred
- 2–4 years of experience in data science, AI, or ML
- Experience with retrieval-augmented generation, vector search
Responsibilities
- Build, train, and deploy ML and AI models to solve business challenges and improve investment decisions.
- Apply Generative AI, LLMs, and deep learning to automate analysis and reporting.
- Implement models using MLOps practices for scalability and reliability.
- Continuously monitor and refine performance.
- Develop automated pipelines for collecting, cleaning, and validating structured and unstructured data.
- Perform statistical and exploratory analysis to uncover trends and opportunities.
- Use AI-driven analytics to support portfolio construction, risk management, and client insights.
Other
- Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field
- Excellent problem-solving, communication, and cross-functional collaboration skills
- LI-Hybrid
- MID_SENIOR_LEVEL
