Develop and integrate Computer Vision models in cloud environments while collaborating with ML engineers to enhance AI product robustness and scalability.
About Us
We are a Machine Learning and Computer Vision startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy.
Our expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences.
At Gemmo AI, we build custom AI solutions that combine automation with human insight. We use a modular approach: first we explore the highest-impact opportunities, then we design and deploy tailored solutions, and finally we help improve and maintain them over time.
We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control.
We’re looking for an AI Software Developer (0 - 1 years of experience) to help us develop and integrate our Computer Vision models into cloud environments and production systems.
You’ll design and build APIs and UIs, orchestrate ML inference pipelines, and deploy solutions to the cloud. Working closely with our ML engineers, you’ll ensure our AI components evolve into robust, scalable end-to-end products.
We use a mix of modern tools and languages. You’ll have the chance to explore and work with technologies like these:
This is a hybrid position from Milan. Candidates are expected to join the team in our Milan office (Via Zuretti 34, Milan) three times per week, on Tuesdays, Wednesday and Thursdays.
Working hours:
• Monday–Friday: 8:30 – 17:30 CET
Requirements
Benefits
Free Meals & Snacks
Paid lunch and coffee breaks when in office
Work equipment provided
Macbook, monitor and noise-cancelling headphones
Gemmo builds AI-driven solutions using Machine Learning and Computer Vision to help large Fortune 200 companies, particularly in financial services and life sciences, unlock transformative insights. We enable organizations to identify and evaluate significant AI opportunities, driving measurable impact and innovation.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
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