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You will be updated with latest job alerts via emailAre you a seasoned AI/Machine Learning professional looking to make a significant impact Were 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 youre passionate about AI and want to contribute to impactful real-world applications we want to hear from you!
Were seeking talented individuals with a strong background in Machine Learning and Deep Learning eager to contribute their expertise to our growing team.
Qualifications :
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
Additional Information :
Hybrid work model from our offices located in Poland (Warsaw Lublin Pozna Katowice Rzeszw d).
Remote Work :
No
Employment Type :
Full-time
Full-time