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Senior Data Scientist AI Native - Darwin Recruitment
Data Scientist
Senior Data Scientist who blends classic machine‑learning expertise with AI‑native development, building scalable models, pipelines, and production‑ready solutions using Python, deep‑learning frameworks, and cloud services.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine‑learning and deep‑learning models that integrate directly into product workflows.
- Architect scalable data pipelines and feature stores using SQL and cloud services (AWS) to support real‑time inference.
- Collaborate with engineering, product, and research teams to translate business problems into AI‑native solutions.
- Implement model monitoring, performance tuning, and continuous improvement processes in production.
- Mentor junior data scientists and promote best practices for reproducibility, versioning, and documentation.
Requirements
- 5+ years of professional experience in machine learning, deep learning, or AI research.
- Strong proficiency in Python and major frameworks such as TensorFlow or PyTorch.
- Hands‑on experience building production‑grade pipelines on AWS (SageMaker, Lambda, EC2, S3).
- Expertise in SQL and data modeling for large‑scale analytical workloads.
- Proven ability to communicate complex technical concepts to cross‑functional stakeholders.
Skills
pythontensorflowpytorchsqlawsmachine learningdeep learning