Machine Learning Engineer
Pubblicato il 03-08-2026 - Jobgether in Italia
ppbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Italy. /b /p pThis role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.br/As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.br/You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.br/The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.br/You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.br/This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems. /p h3Accountabilities: /h3 pThe Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include: /p ul liDevelop, train, test, and evaluate machine learning models to support product objectives. /li liPrepare, clean, analyze, and manage datasets used for model training and validation. /li liImprove model performance through experimentation, optimization, and continuous testing. /li liDeploy, maintain, and monitor machine learning models in production environments. /li liCollaborate with software engineers to integrate machine learning capabilities into products and applications.
/li liTrack model performance and identify opportunities to improve accuracy, reliability, and efficiency. /li liApply modern machine learning techniques and stay informed about emerging technologies and best practices. /li liWrite clean, maintainable, and efficient code to support scalable AI solutions. /li liContribute to technical discussions and help solve complex engineering challenges. /li liParticipate in the continuous improvement of machine learning workflows and development processes. /li /ul h3Requirements: /h3 pThe ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include: /p ul li1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities. /li liBasic understanding of machine learning concepts, algorithms, and model development processes. /li liStrong programming skills in Python. /li liFamiliarity with machine learning frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn. /li liComfortable working with data and writing clean, maintainable code. /li liExperience using Git and version control practices. /li liStrong problem-solving skills with the ability to analyze technical challenges.
/li liGood written and verbal English communication skills. /li liPassion for learning, experimenting, and building AI-powered solutions. /li liBachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory. /li liExperience with large language models (LLMs) is an advantage. /li liFamiliarity with cloud platforms such as AWS, GCP, or Azure is beneficial. /li liKnowledge of SQL and experience deploying machine learning models are considered advantages. /li liPersonal AI, machine learning projects, or open-source contributions are highly valued. /li /ul h3Benefits: /h3 pThe role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include: /p ul liFully remote work opportunity. /li liFlexible working environment with autonomy and work-life balance. /li liOpportunity to build and improve real-world AI products. /li liExposure to challenging technical problems and modern machine learning technologies. /li liCollaborative and fast-moving team environment. /li liOpportunities for professional growth and continuous learning. /li liCompetitive compensation based on experience. /li liOpportunity to contribute to impactful machine learning projects from anywhere. /li /ul pWe appreciate your interest and wish you the best! /p pbData Privacy Notice: /b By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. /p /p #J-18808-Ljbffr