About the role
AI summarisedSenior Staff Data Scientist role focused on AI tools and development at a technology company. The position involves leading the design and implementation of AI/ML solutions, developing tools and frameworks, and collaborating with cross-functional teams to drive innovation.
IndustrialFull-timeEngineering
Key Responsibilities
- Lead the design, development, and deployment of AI/ML models and systems.
- Develop and maintain AI tools and frameworks to accelerate model development and deployment.
- Collaborate with product managers, engineers, and other stakeholders to define AI/ML requirements and deliver solutions.
- Conduct research and experiments to explore new AI/ML techniques and improve existing models.
- Mentor junior data scientists and contribute to best practices in AI/ML development.
- Drive the adoption of AI/ML best practices across the organization.
- Communicate complex technical concepts to non-technical stakeholders effectively.
Requirements
- PhD or Master's degree in Computer Science, Machine Learning, Statistics, or related field.
- 8+ years of experience in data science or machine learning roles.
- Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with large-scale data processing and distributed computing (e.g., Spark, Ray).
- Proven track record of leading AI/ML projects from conception to production.
- Deep understanding of machine learning algorithms and statistical modeling.
- Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Experience in developing AI tools or platforms is a plus.