Principal Machine Learning Engineer
Description For Principal Machine Learning Engineer
Datatonic, Google Cloud's premier partner in AI, is seeking a Principal Machine Learning Engineer to drive transformation for world-class businesses. This role combines technical expertise with leadership opportunities, requiring 5+ years of experience in machine learning engineering.
As a Principal ML Engineer, you'll be responsible for engineering high-quality Python code and advocating for best practices in both production software and rapid prototypes. The position involves leading projects, engaging in client discussions, and finding creative solutions to complex problems using machine learning.
The ideal candidate will possess strong ML & Data Science fundamentals, with expertise in model optimization and deployment. You'll work on translating requirements, conducting ML experiments, implementing GenAI solutions, and creating efficient data pipelines. The role emphasizes both technical excellence and consulting skills, requiring the ability to communicate effectively with stakeholders.
Key technical requirements include proficiency in Python, experience with cloud platforms (Google Cloud, AWS, or Azure), strong SQL knowledge, and expertise in scaling computations using GPUs or distributed systems. You'll be responsible for building production-grade ML solutions and automating workflows while ensuring best practices in MLOps.
The position offers attractive benefits including 25 days holiday, health insurance allowance, remote working support, and learning opportunities through platforms like Udemy. Join a team of AI enthusiasts and data experts who are shaping the future of technology and delivering innovative solutions using AI & Cloud.
Responsibilities For Principal Machine Learning Engineer
- Translate vague requirements and develop models to solve real-world problems
- Conduct ML experiments using programming languages with machine learning libraries
- Leverage generative AI to develop innovative solutions
- Optimize machine learning solutions for performance and scalability
- Implement tailored machine learning code to meet specific needs
- Ensure efficient data flow between databases and backend systems
- Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage
- Create machine learning architectures using Google Cloud tools and services
- Build and deploy production-grade software for machine learning and data-driven solutions
Requirements For Principal Machine Learning Engineer
- 5+ years as a Machine Learning Engineer, preferably with consulting background
- Proficiency in Python as a backend language
- Experience with cloud platforms such as Google Cloud, AWS, or Azure
- Hands-on experience with foundational software engineering practices
- Strong knowledge of SQL for querying and managing data
- Experience scaling computations using GPUs or distributed computing systems
- Familiarity with exposing machine learning components through web services
- Strong communication and presentation skills
Benefits For Principal Machine Learning Engineer
- 25 days holiday plus bank holidays
- €840 Private Health Insurance Allowance per year
- €300 Working From Home Allowance per year
- Access to Udemy learning platforms
- €120 Home Equipment Allowance
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