ppA group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy. /p pCoesia’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. /p pOur 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. /p pCoesia operates in 34 countries with 21 different companies and employs over 8,000 people as of 2026. /p h3About the Role /h3 h3Context /h3 pThe 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. /p h3Position /h3 pThe 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. /p h3Daily Tasks /h3 ul liScout evaluate: track research papers, benchmarks, OSS repos, webinars; curate a monthly “AI radar” for stakeholders /li liPrototype validate: design and code PoCs/MVPs; measure business impact /li liCollaborate: work closely with cross-functional teams, including designers, data scientists, marketing and IT to co-create technology workflows and innovation roadmaps /li liMLOps software engineering:



containerise workloads, automate CI/CD, and instrument model monitoring /li liData wrangling: acquire, clean, and label data; fine-tune or distil large models; enforce data-privacy/security guidelines /li liDocument: write concise tech notes and documentation about discoveries /li liLearn share: attend one major conference per year and share learnings internally /li /ul h3What You Need to Be Successful /h3 h3Must-have /h3 ul liMSc in STEM disciplines /li li3-5 years of hands‑on experience in AI/ML, software engineering or applied research roles /li liExperience in developing and validating AI-driven solutions, PoCs, MVPs, or production‑ready applications /li liProgramming skills and familiarity with modern AI/ML frameworks and development tools /li liEnglish (B2 spoken / C1 reading‑writing) /li /ul h3Nice-to-have /h3 ul liExperience with retrieval‑augmented generation (RAG), vector databases, and LLM fine‑tuning /li liExposure to cloud computing platforms (e.g., AWS, Azure) /li liExperience working in cross‑functional innovation, RD, or industrial engineering environments /li liKnowledge of MLOps practices, CI/CD pipelines, containerization, and model monitoring /li liOpen‑source contributions /li /ul h3Our Offer /h3 pCompensation 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. /p pA range of additional benefits (e.g., insurances, etc.) is also available in accordance with Company policy. /p pThe applicable collective agreement is the CCNL Metalmeccanico. /p h3Join the Team! /h3 pCoesia is an equal opportunity employer. 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. /p /p #J-18808-Ljbffr

📌 R&T Engineer - Engineering AI Research (Bologna)
🏢 Coesia
📍 Bologna