Data / Machine Learning Engineer, Inetum

Inetum

Location:
Poland, Warsaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

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)

What we offer:

Flexible working hours
Hybrid work model
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists

Additional Information:

Job Posted:
June 04, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data / Machine Learning Engineer