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Lead Backend Software Engineer
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lead backend engineer
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Senior Data Science Engineer
2 months ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our Data Science team at Think IT Resources. As a key member of our team, you will play a crucial role in supporting the research and development process of ML/AI services.
Key Responsibilities- Support Data Science Projects: Collaborate with our team to implement data science projects and develop data science approaches to drive commercial goals.
- Lead Machine Learning Engineering: Work with a proficient team of Machine Learning Engineers to establish collaborative ways of working and drive innovation.
- Collaborate with Cross-Functional Teams: Partner with tech, product, and data teams to develop data platforms that enable the application of data science and embed data science directly in our products and processes.
- Translate Business and Data: Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results.
- Champion Data Science: Be a champion and role model for the application of data science across the group, supporting the development of a data culture and demonstrating the value of data in our decision-making.
- Develop Data Science Brand: Support our efforts to develop the data science (and broader customer analytics) brand for both internal and external audiences.
- Proven Experience: Proven experience delivering high-quality AI-based products and productionizing Machine Learning-based products.
- Cloud-Based Services: Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP).
- Machine Learning Algorithms: Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.).
- Software Development Skills: Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib).
- Deployment Experience: Proven experience in deploying ML/AI services using Kubernetes & KubeFlow.
- Leadership Skills: Strong management and leadership skills – previous experience managing a team.
- Influencing and Communication: Strong influencing, communication, and stakeholder management skills.
