Machine Learning Engineer • Senior

Who you are

You are a Senior Data Engineer or Full-Stack Developer eager to pivot into the field of AI. With a solid foundation in engineering principles, you are ready to embrace the challenges of machine learning and data engineering. Your experience has equipped you with the skills necessary to thrive in a fast-evolving technological landscape, and you are excited about the opportunity to shape the future of AI and data. You are motivated by the prospect of working on cutting-edge projects and are keen to learn from industry leaders.

You possess a strong understanding of cloud technologies, particularly Google Cloud Platform (GCP), and are familiar with the core services that support modern AI applications. Your background in data engineering has provided you with insights into data storage, retrieval, and processing, which will be invaluable as you transition into a Machine Learning Engineer role. You are a proactive learner, eager to engage in intensive training and hands-on labs to enhance your skills.

Desirable

Experience with Generative AI applications and familiarity with vector databases will be advantageous as you embark on this journey. You are open to learning new technologies and methodologies, and you thrive in collaborative environments where you can share knowledge and grow alongside your peers.

What you'll do

As part of the MLE Accelerator Programme, you will undergo a comprehensive 12-week training designed to equip you with the skills needed to become a Production-Ready Machine Learning Engineer. The first month will focus on mastering the foundational elements of Google Cloud, including essential services for building and hosting Generative AI applications. You will learn about the infrastructure required for GenAI, including Vertex AI services and Cloud Run for scalable application hosting.

Throughout the program, you will engage in instructor-led sessions and self-paced labs, allowing you to apply your learning in practical scenarios. You will work closely with experienced technical leads who will guide you through the complexities of machine learning engineering, ensuring you gain the necessary expertise to succeed in this field.

You will also explore data storage solutions and high-performance storage options available on Google Cloud, learning how to leverage these tools for retrieval-augmented generation. Your training will encompass cloud architecture principles, preparing you to design and implement robust machine learning solutions that meet the demands of modern businesses.

What we offer

Datatonic provides a supportive and dynamic environment where you can thrive as you transition into your new role. You will benefit from a hybrid working model, allowing you to balance focused work with collaborative sessions in the office. We prioritize your wellbeing, offering supplementary health insurance and a MultiSport membership to keep you active and engaged.

With over 25 days of vacation, we encourage you to take time to recharge and maintain a healthy work-life balance. You will have the opportunity to work on impactful projects for market-leading global brands, contributing to the advancement of AI and data technologies. Join us in shaping the future of AI and data at Datatonic, where your contributions will make a difference.