R&T Engineer - Engineering AI Research
Pubblicato il 21-09-2026 - Lean Six Sigma Black Belt in Bologna
About the Company
A group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy.
Verifichi qui sotto se possiede i requisiti per questa possibilità e, in tal caso, invii la sua candidatura il prima possibile.
Coesia’s companies are leaders in automation solutions for multiple industries, ranging from automated processing and packaging machinery, testing and vision systems, to digital printing technologies, factory flow solutions and high-performance transmissions.
Our customers include leading players in a wide range of sectors, including aerospace, automotive, consumer and luxury goods, ceramics, electronics and semiconductors, pharma and healthcare, energy storage systems, tobacco and next-generation products.
Coesia operates in 34 countries with 21 different companies and employs over 8,000 people as of 2026.
About the RoleContext
The AI technology and related applications are evolving at an unprecedented pace. To stay ahead, we need to continuously monitor the technology landscape, identify the most promising developments for our business needs, and deliver prototypes, minimum viable products, or proofs of concept to test these technologies.Our business needs include enhancing the effectiveness of engineering processes and integrating AI technology into our products and services.
Position
The primary responsibility will be to deliver 3-4 validated PoCs per year, with at least one PoC graduating to a production roadmap, so Coesia stays ahead in applying AI to industrial engineering.
Daily Tasks
- Scout & evaluate: track research papers, benchmarks, OSS repos, webinars; curate a monthly “AI radar” for stakeholders
- Prototype & validate: design and code PoCs/MVPs; measure business impact
- Collaborate: work closely with cross-functional teams, including designers, data scientists,
marketing and IT to co-create technology workflows and innovation roadmaps
- MLOps & software engineering: containerise workloads, automate CI/CD, and instrument model monitoring
- Data wrangling: acquire, clean, and label data; fine-tune or distil large models; enforce data-privacy/security guidelines
- Document: write concise tech notes and documentation about discoveries
- Learn & share: attend one major conference per year and share learnings internally
What You Need to Be SuccessfulMust-have
- MSc in STEM disciplines
- 3-5 years of hands-on experience in AI/ML, software engineering or applied research roles
- Experience in developing and validating AI-driven solutions, PoCs, MVPs, or production-ready applications
- Programming skills and familiarity with modern AI/ML frameworks and development tools
- English (B2 spoken / C1 reading-writing)
Nice-to-have
- Experience with retrieval-augmented generation (RAG), vector databases, and LLM fine-tuning
- Exposure to cloud computing platforms (e.g., AWS, Azure)
- Experience working in cross-functional innovation, R&D;, or industrial engineering environments
- Knowledge of MLOps practices, CI/CD pipelines, containerization, and model monitoring
- Open-source contributions
Our Offer
Compensation for this role includes a base salary starting from EUR 39,000 in line with experience. The actual offer may exceed this minimum based on the candidate's qualifications and fit for the role.
A range of additional benefits (e.g., insurances, etc.) is also available in accordance with Company policy.
The applicable collective agreement is the CCNL Metalmeccanico.
Join the Team!
Coesia is an equal opportunity employer. xysqume We believe in fair, merit-based recruitment and assess all candidates exclusively on the basis of their qualifications, skills, experience and suitability for the role.
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