Collinson Group
2 weeks ago
Description :
As a key member of our team, you will contribute to architecture and technical decisions, collaborate with data scientists and engineers, and deploy new machine learning and deep learning models into complex production systems.
Your responsibilities will include :
- Designing and developing machine learning workflows and pipelines in cloud environments
- Selecting the right tools and services for the job and making them work in production
- Promoting a culture of self-serve data analytics by minimizing technical barriers to data access and understanding
- Staying current with the latest research and technology and communicating your knowledge throughout the organization
Requirements :
- Knowledge of common data science techniques including data preparation, exploration, and visualization
- Ability to produce workflows using classification, clustering, regression, and dimensionality reduction
- Experience with AWS Well Architected Framework, PySpark, Python, Hive, Postgres, Sk-learn, and other relevant technologies
- Strong analytical and problem-solving skills, with experience in deploying data science solutions
- Excellent communication and collaboration skills, with ability to interact with technical and non-technical stakeholders
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