Data / Machine Learning Engineer

Join to apply for the Data / Machine Learning Engineer role at Inetum . Mission Inetum is in the midst of a strategic project to develop our competences in the area of artificial intelligence and data. The aim is to create cutting‑edge AI solutions and competences that will enrich our product and service offerings, responding to the growing needs of our customers. The project includes the analysis of existing processes, the identification of areas where AI can bring the greatest benefit, and the implementation of innovative machine learning models. We use Microsoft Azure and Google Cloud Platform cloud technologies to ensure the scalability and efficiency of our solutions. By joining the team, you will have a real impact on shaping the direction of AI within our company. Main Tasks Design, development and implementation of machine learning models and AI systems in cloud environments (Azure, Google Cloud). Creating and maintaining data pipelines: from data extraction and cleaning to feature engineering and preparing data for modelling. Selection of appropriate ML algorithms and their implementation and optimisation in the context of specific business problems. Collaborating with Data Science, Data Engineering and Software Development teams to integrate models into production systems. Monitoring model performance, conducting A/B testing and updating models in response to changing data and requirements. Keeping abreast of the latest ML trends and technologies and proposing innovative solutions. Profile Must Have Requirements Minimum of 2 years' experience as a Machine Learning Engineer or related position. Proficiency in Python and experience with ML frameworks (e.g. TensorFlow, PyTorch). Knowledge of mathematics and statistics, including linear algebra, differential calculus and probability. Experience of working with large datasets and their processing and analysis. Familiarity with cloud tools and platforms, such as Azure Machine Learning or Google Vertex AI. Ability to work in a team and communicate with technical and non‑technical stakeholders. Nice to have Experience in the implementation and optimisation of NLP or CV models. Knowledge of MLOps principles and tools for automating and monitoring ML models. Experience working with Docker containers and orchestration using Kubernetes. Familiarity with data and model versioning tools such as DVC. Participation in open‑source projects or publications in the field of machine learning. Cloud‑related certifications (e.g. Azure AI Engineer Associate, Google Professional Machine Learning Engineer). Hybrid work from one of our offices in Warsaw, Katowice, Lublin, Poznań or Rzeszów. Organization Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all. Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas: Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions. Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs. Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow. Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs. With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market. Benefits Flexible working hours. Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities. A cafeteria system that allows employees to personalise benefits by choosing from a variety of options. Generous referral bonuses, offering up to PLN 6,000 for referring specialists. Seniority Level Entry level Employment Type Full‑time Job Function Engineering and Information Technology IT Services and IT Consulting Referrals increase your chances of interviewing at Inetum by 2x. #J-18808-Ljbffr