What are the responsibilities and job description for the Learning Engineer position at Datatonic Ltd.?
At Datatonic, we are Google Cloud‘s premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.
Your Mission
As a Machine Learning Engineer, you‘ll know how to engineer beautiful code in Python and take pride in what you produce. You‘ll be an advocate of high-quality engineering and best practices in production software as well as rapid prototypes.
This position is a hands-on technical role where you will actively collaborate with the team to deliver impactful solutions. Your responsibilities will include contributing to the development of machine learning solutions, participating in project scoping, and working closely with team members to ensure successful delivery of engagements.
To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You‘ll be comfortable with model optimization and deployment tools and practices. Furthermore, you‘ll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.
What You’ll Do
- Translating Requirements : Interpret vague requirements and develop models to solve real-world problems.
- Data Science : Conduct ML experiments using programming languages with machine learning libraries.
- GenAI : Leverage generative AI to develop innovative solutions.
- Optimisation : Optimise machine learning solutions for performance and scalability.
- Custom Code : Implement tailored machine learning code to meet specific needs.
- Data Engineering : Ensure efficient data flow between databases and backend systems.
- MLOps : Automate ML workflows, focusing on testing, reproducibility, and feature / metadata storage.
- ML Architecture Design : Create machine learning architectures using Google Cloud tools and services.
- Engineering Software for Production : Build and deploy production-grade software for machine learning and data-driven solutions.
What You’ll Bring
Bonus Points If You Have :
What’s in It for You?
We believe in empowering our team to thrive, with benefits including :
Why Datatonic?
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!
Are you ready to make an impact?
Apply now and take your career to the next level.
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