Senior Data Engineer / Senior Machine Learning Engineer / ITM

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 (, 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 (, 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).