Senior Data Scientist
Core
Lead research, design, and development of advanced machine learning and AI models, optimizing for real-world deployment constraints like latency, efficiency, and scalability.
Role type
Senior IC machine learning engineer (AI research & production)
Builds
Scalable ML architectures, production ML models, and robust data pipelines supporting real-time inference and batch processing.
Domain
Artificial Intelligence, Deep Learning, Generative AI, Reinforcement Learning
Deliverable
production ML models
Required skills
Deep learning, Generative AI, Reinforcement learning, Large-scale ML systems, Python, TensorFlow, PyTorch, Scikit-Learn, Hugging Face, Cloud deployment (Azure/AWS/GCP), Feature engineering, Linear algebra, Probability, Optimization, Bayesian inference
Preferred skills
NLP, Computer Vision, Model monitoring, Drift detection, Adversarial robustness, Ethical AI implementation, Academic publishing
Technologies
TensorFlow, PyTorch, Scikit-Learn, Hugging Face, Azure, AWS, GCP
Responsibilities
Develop novel algorithms and architectures for AI innovation; Build and deploy ML models at scale with minimal latency; Design scalable ML architectures for real-time and batch processing; Establish practices for model monitoring, drift detection, and performance tracking; Lead proof-of-concept projects for emerging AI technologies; Contribute to AI research communities and publish papers.
Seniority
Senior, hands-on IC