Elevate Your Impact as a Machine Learning Engineer! We're on a mission to revolutionize our generative AI capabilities, and we need a visionary like you to lead the charge.
The Opportunity
We're on the hunt for a Machine Learning Engineer to elevate our (gen)AI capabilities to new heights. Your role will be pivotal in designing, building, and deploying machine learning models that will transform the business landscape for our clients. If you're ready to shape the future of AI and drive transformative change, join us and unleash your potential!
Your role as a Machine Learning Engineer
As a Machine Learning Engineer, you will develop cutting-edge machine learning models and algorithms that push the boundaries of what technology can achieve. Your expertise will be critical in translating complex datasets into actionable insights, empowering our clients to make informed decisions. Collaboration will be key as you work with interdisciplinary teams to seamlessly integrate AI solutions into our product suite, ensuring that our offerings are both innovative and effective. Additionally, you will enhance the performance and scalability of our machine learning systems, optimizing them for efficiency and reliability. By continually innovating and iterating on best practices in machine learning, you will help us maintain our position at the forefront of the industry, driving impactful advancements and setting new standards for excellence.
Who you are
- You are a medior Machine Learning Engineer with 2-4 years of experience in data analysis and model development.
- Proactive and action-oriented, you seek opportunities to make an impact on AI projects.
- Driven and focused, you can manage multiple projects while maintaining quality.
- You thrive in roles that offer responsibility and autonomy, adapting quickly to new technologies.
What you have
- Bachelor's or Master's in Computer Science, AI, or a related technical field.
- Experience in bringing AI projects into production
Must-Haves:
- Proficiency in Python and familiarity with data manipulation libraries (e.g., NumPy, Pandas).
- Experience with at least one genAI framework (e.g., LangChain) or image generation models (e.g., ControlNet).
- Familiarity with cloud AI suites (AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
- Strong problem-solving abilities and a passion for technical challenges.
Nice-to-Haves:
- Knowledge of Retrieval-Augmented Generation (RAG) techniques.
- Experience with Java or C++.
- Ability to work collaboratively in interdisciplinary teams.
What you get
Dream big, start small, grow smart! We believe in people who think about how great they want to be, not how great they are. And for you to become what you want to be, we are committed to your personal and career development. We are proud to be ‘Great Place to Work’ certified and are continuously looking to improve your employee experience.
Your Benefits:
Life at Youwe
Your home base is our diverse, international team of driven, fun and like-minded specialists. People you can talk to and bounce ideas off. And if you think we can do better, let us know! At Youwe, you’re not on your own. You’ll get all the support you need and we’ll help you get started in no time. Our Implementation team is growing rapidly, offering you plenty of opportunities to evolve and grow your career!
Who you’ll work with
Meet some of your new team members
We are Youwe
Working with the world’s leading technology partners, such as Adobe, Dotdigital, Hootsuite and Turtl, we are the digital agency for ambitious business looking to accelerate growth. With nine offices across the globe and 300+ developers, consultants, designers, digital marketers and strategists, we are best in class. Stimulated by our inclusive culture, in which curiosity and emotional intelligence help us be upfront and authentic, we are confident problem solvers. Leveraging technology, data and creativity, we stay ahead and go beyond to deliver exceptional, personalized customer experiences at scale!
Are you? Apply now!
Has this role sparked your interest? Then we’d like to get to know you!
