/AI/ML Engineer

AI/ML Engineer

Wrocław, PLplvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
1 week ago

About the Role

<h3><strong>Project description:</strong></h3><p><span>The role includes developing new AI approaches and solutions, experimenting with cutting-edge architectures and driving innovation across business use cases. Additionally, experience in data engineering and cloud platforms will be valuable in delivering scalable and high‑impact AI capabilities. </span></p><h3><strong>Main responsibilities:</strong></h3><p><span>Proven experience delivering AI / ML / GenAI projects in enterprise environments Demonstrated ability to lead or significantly contribute to project development Strong understanding of the Software Development Life Cycle (SDLC) Experience working in automotive and/or financial services environments is highly preferred Strong communication skills English: mandatory French or German: strong plus</span></p><h3><strong>Requirements:</strong></h3><ul><li><p><span>Minimum 2 years of experience in Data Science and Machine Learning. </span></p></li><li><p><span>Knowledge of machine learning, deep learning, and Generative AI (GenAI) techniques. </span></p></li><li><p><span>Proficiency in Python programming language and frameworks like TensorFlow, PyTorch, Pandas or Scikit-Learn. </span></p></li><li><p><span>Understanding of Natural Language Processes (NLP) techniques such as tokenization, string comparison and embeddings. </span></p></li><li><p><span>Experience with cloud platforms such as Azure or AWS. </span></p></li><li><p><span>Good communication and interpersonal skills, with the ability to collaborate effectively with team. </span></p></li><li><p><span>Bachelor's or Master's degree in Computer Science, Engineering, or a related field. </span></p></li></ul><h3><strong>Nice to have:</strong></h3><ul><li><p><span>Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. </span></p></li><li><p><span>Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. </span></p></li><li><p><span>Implement monitoring and logging tools to ensure AI model performance and reliability. </span></p></li><li><p><span>Familiar with API building using Flask, FastAPI or similar. </span></p></li></ul>

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