Lead Data Architect
3 semanas atrás
We are seeking a highly skilled and experienced Lead Data Architect to lead the development of data-driven solutions that have a direct impact on our business. This is an exciting opportunity for a seasoned professional to join Robert Walters Plc, a leading international human resources consultancy.
About Us: At Robert Walters Plc, we specialize in matching top talent with leading organizations across various industries. Our expertise spans recruitment, interim management, and HR solutions, making us a trusted partner for businesses globally.
Job Overview: As a Lead Data Architect, you will be responsible for designing and implementing scalable, efficient, and maintainable machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow). You will also utilize Apache Spark (PySpark) for distributed data processing on large datasets, applying statistical techniques to assess model performance and ensure robustness.
Responsibilities:
- Design and implement scalable, efficient, and maintainable machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow).
- Utilize Apache Spark (PySpark) for distributed data processing on large datasets.
- Apply statistical techniques to assess model performance and ensure robustness.
- Mentor junior data scientists, providing technical guidance and support in best practices.
- Present findings and recommendations to stakeholders and senior management in a clear and actionable manner.
- Stay up-to-date with the latest developments in machine learning, data science, and related technologies to drive innovation within the team.
- Ensure best practices for version control, reproducibility, and model monitoring in production environments.
Requirements:
- Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of hands-on experience in building, deploying, and maintaining machine learning models in production.
- Strong expertise in machine learning algorithms and statistical modeling.
- Proficiency in the Python machine learning ecosystem (scikit-learn, TensorFlow, PyTorch, etc.).
- Experience with Apache Spark (PySpark) for large-scale data processing.
- Deep understanding of Object-Oriented Programming (OOP) principles and software development best practices.
- Experience working with cloud platforms like Azure and using Databricks for data science workflows.
- Familiarity with Deep Learning algorithms and techniques.
Benefits: We offer a competitive salary and benefits package, including opportunities for career growth and professional development.
Salary: The estimated salary for this role is around £80,000 - £110,000 per annum, depending on experience.
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