Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Senior Data Scientist designing and deploying AI/ML solutions specializing in image processing. Collaborating with teams to address business challenges through AI-driven strategies.
Responsibilities
- Lead the design, development, and deployment of end-to-end AI/ML solutions, including both classical ML models (regression, classification, clustering, time-series) and advanced AI models (deep learning, transformers, GANs).
- Architect and implement scalable image processing/computer vision systems (OCR, object detection, segmentation, recognition, image enhancement).
- Drive the adoption of MLOps best practices – model lifecycle management, CI/CD for ML, monitoring, retraining pipelines.
- Build scalable data and ML workflows on GCP stack – Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage.
- Collaborate with product, engineering, and research teams to translate business problems into AI-driven solutions.
- Mentor junior engineers and provide technical leadership on AI/ML projects.
- Continuously research and evaluate new algorithms, tools, and trends in AI/ML and image processing.
Requirements
- 10+ years of experience in AI/ML, including classical ML and advanced AI/deep learning.
- Strong programming skills in Python, with expertise in frameworks like TensorFlow, PyTorch, Keras, OpenCV, Scikit-learn.
- Proven experience in image processing/computer vision applications.
- Hands-on expertise in **GCP stack (Vertex AI, AI Platform, BigQuery, Dataflow, Cloud Functions, GKE). **
- Strong background in data engineering concepts, feature engineering, and model optimization.
- Solid understanding of algorithms, statistics, and mathematical foundations of ML/AI.
Job title
Job type
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Degree requirement
No Education Requirement
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