Senior Data Scientist Engineer – SFL Scientific
AI summary of the role
Senior Data Scientist role within SFL Scientific, a Deloitte Business, focused on designing and delivering novel AI/ML solutions for clients in areas like cancer detection, drug discovery, autonomous systems, and agentic AI.
What you’ll do
- Guide clients with high autonomy in AI strategy and development, from exploratory data analysis to model deployment
- Lead client initiatives to deliver AI/ML solutions, including thought leadership and long-term maintenance
- Research and implement novel machine learning approaches, advancing state-of-the-art training and solution design
- Validate AI models via code reviews, unit, and integration tests
What you’ll bring
- Master’s or PhD in a relevant STEM field
- 3+ years of experience in AI/ML algorithm development using Python, PyTorch, and data analysis (NLP, time-series, computer vision)
- 3+ years applying traditional ML and deep learning (CNNs, RNNs, GANs) in production environments
- 3+ years deploying and optimizing ML models with Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow
Technologies
Python · PyTorch · Kubernetes · Docker · TensorRT · RAPIDs · Kubeflow · MLflow · AWS · Azure · GCP · LangChain
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