Mission

Are you a seasoned AI/Machine Learning professional looking to make a significant impact? We're building a cutting-edge AI and Data Talent Pool to drive our strategic initiative in developing innovative AI solutions and capabilities. This is your chance to shape the future of AI within our company, enhancing our product and service offerings to meet evolving client needs.

Our project involves analyzing existing processes, identifying key areas where AI can deliver maximum benefits, and implementing innovative machine learning models. We leverage Microsoft Azure and Google Cloud Platform for scalable and efficient solutions. If you're passionate about AI and want to contribute to impactful, real-world applications, we want to hear from you!

We're seeking talented individuals with a strong background in Machine Learning and Deep Learning, eager to contribute their expertise to our growing team.

Profile

Minimum 5 years of experience as a Machine Learning/Deep Learning Engineer or in a related role.

Fluent in Python with hands-on experience in ML frameworks (e.g., TensorFlow, PyTorch).

Solid understanding of mathematics and statistics, including linear algebra, calculus, and probability.

Proven experience working with large datasets, including processing and analysis.

Familiarity with cloud tools and platforms such as Azure Machine Learning or Google Vertex AI.

Excellent teamwork and communication skills, able to engage with both technical and non-technical stakeholders.

Nice to have:

Experience in implementing and optimizing NLP or CV models.

Experience in designing AI solution architectures within a business environment.

Knowledge of MLOps principles and tools for automating and monitoring ML models.

Experience with Docker containers and Kubernetes orchestration.

Familiarity with data and model versioning tools like DVC.

Participation in open-source projects or publications in machine learning.

Cloud-related certifications (e.g., Azure AI Engineer Associate, Google Professional Machine Learning Engineer).

Our tech stack:

Programming Languages: Python (preferred), Scala, .NET

ML Frameworks: TensorFlow, PyTorch, scikit-learn, Keras

Cloud & AI Platforms: Microsoft Azure (including Azure Machine Learning), Google Cloud Platform (including Vertex AI)

Code Management & CI/CD: Git, Docker, Kubernetes, GitHub Actions

Data Processing: Pandas, NumPy, Apache Spark, BigQuery, Azure Data Lake

Monitoring & MLOps: MLflow, TensorBoard, Azure ML Pipelines

Hybrid work model – from our offices located in Poland (Warsaw, Lublin, Poznań, Katowice, Rzeszów, Łódź).

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.

Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique:

Flexible and hybrid work:

• Flexible working hours.
• Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities.

Attractive financial benefits:

• 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 revenue sharing opportunities for initiating partnerships with new clients.

Professional development and team support:

• Ongoing guidance from a dedicated Team Manager for each employee.
• Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.

Community and Well-Being:

• Dedicated team-building budget for online and on-site team events.
• Opportunities to participate in charitable initiatives and local sports programs.
• A supportive and inclusive work culture with an emphasis on diversity and mutual respect.