Data Science Architect
hace 1 mes
We are seeking a talented Data Science Architect to join our team at Morad Law Group in Barcelona, Spain. As a key member of our team, you will be responsible for designing and implementing scalable ML systems that drive innovation across the organization.
Your global responsibilities will include:
- Leveraging data to solve business problems of various business units
- Designing, developing, and maintaining scalable ML systems
- Ensuring ML lifecycle monitoring by applying best practices in MLOps and green IT
- Engaging in building ML engineering infrastructure and systems to orchestrate batch and streaming pipelines
- Partnering with scientists and engineers to make ML models accessible to end-users and downstream processes
- Building and enhancing feature stores
You will have an outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment. You also possess excellent verbal and written communication, critical thinking, and analytical skills.
Salary: €80,000 - €105,000 per annum.
Requirements:- M.S. Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
- Demonstrable experience in designing ML systems and integrating those into business applications
- Excellent knowledge of Python, other languages are a plus
- Deep knowledge of machine learning lifecycle, principles, and tooling
- Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Data Factory, Azure Bicep)
- Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Experience in Linux OS and scripting
- Knowledge of data management fundamentals and data storage principles
- Experience of cross-functional collaboration in the development of ML products and services (e.g., Engineers, Product Managers) is a plus
- Familiarity with non-relational databases
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