Machine Learning Engineer

ph3About the Company /h3pCoesia is a group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy, and fully owned. /ppCoesia’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. /ppOur 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. /ppCoesia develops artificial intelligence solutions based on cloud architecture for industrial applications, supported by a dedicated team focused on transforming these technologies into products and services for machines and production lines. /ppCoesia operates in 34 countries with 21 different companies and employs over 8,000 people as of 2026. /ph3About the Role /h3pIn this versatile engineering role, you will work on innovative technologies in the field of industrial automation, machine learning and digital solutions, supporting projects from the concept phase through to deployment in production environments. /ppYou will contribute to the development, testing, validation and operationalization of machine learning solutions, helping transform innovative concepts into reliable and scalable products. /ppThis position is part of the Coesia Graduate Program and offers an ideal entry into an international career. Ready for the next step after graduation? Start your career with the Coesia Graduates Program! The Coesia Graduates Program is aimed at graduates and early-career professionals who want to start their careers in an international technology environment. /ppDuring the structured 2-year program, you will gain insights into different business areas and develop both professionally and personally. After successful completion of the program, there is the opportunity for long-term employment at Coesia. The program targets graduates and early-career professionals with up to 18 months of relevant professional experience. /ph3Why Coesia Graduates Program? /h3ulliWork on challenging projects with a direct impact on innovative technology solutions /liliTargeted professional and personal development through training and development programs /liliMentorship from experienced specialists and leaders /liliBuild an international network within the Coesia Group /liliAttractive development opportunities in a global environment /liliWe promote diversity and equal opportunities and welcome applications from motivated talents from all backgrounds /li /ulh3Main responsibilities: /h3ulliSupport the development and deployment of Machine Learning solutions /liliContribute to model monitoring, performance tracking and data quality management /liliSupport MLOps activities including model versioning, CI/CD and deployment automation /liliCollaborate with software engineers and AI specialists to transition ML solutions from development into production /liliContribute to cloud-based ML environments and infrastructure /liliParticipate in testing, validation and continuous improvement of ML solutions /liliHelp define best practices for reliability, maintainability and scalability of ML systems /li /ulh3What You Need to Be Successful /h3h3Key Skills /h3ulliMaster's Degree (or final year student) in Computer Science, Artificial Intelligence, Data Science, Computer Engineering or related fields /liliSolid foundations in Machine Learning and statistics /liliGood programming skills in Python /liliBasic understanding of software engineering principles and version control systems (Git) /liliInterest in cloud technologies and machine learning deployment workflows /liliStrong analytical and problem-solving skills /liliWillingness to learn and grow in an international environment /liliExcellent communication and teamwork skills /liliContinuous learning mindset /li /ulh3Preferred Qualifications: /h3ulliExposure to MLOps concepts and tools (MLflow, Docker, Kubernetes, CI/CD) /liliExposure to Generative AI, LLM-based or agent-based applications /liliFamiliarity with cloud platforms such as Azure, AWS or GCP /liliAcademic or personal projects related to Machine Learning deployment and operations /liliFamiliarity with time-series or industrial data is considered a plus /li /ulh3Our Offer /h3ulliA highly technological and stimulating environment focused on innovation, experimentation and applied research /liliMarket competitive compensation and flexible working time and location /liliAn attractive welfare package /liliA diverse and inclusive work environment aligned with Coesia values /li /ulpCompensation for this role includes a base salary starting from EUR 33000, in line with experience. The actual offer may exceed this minimum based on the candidate's qualifications and fit for the role.br/ /ppA range of additional benefits (e.g., insurances, etc.) is also available in accordance with Company policy. /ppThe applicable collective agreement is the CCNL Metalmeccanico. /ph3Join the Team! /h3pCoesia 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