Senior AI Ml Engineer

at  EY

SENIOR GENAI ENGINEER

Location: Wrocław / Warsaw/ Katowice
Hybrid model: 2 days office/3 days remote
Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY.

THE OPPORTUNITY

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 5 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

To qualify for the role, you must have

• 4+ years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, NLP and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure or AWS.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 4+ years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, NLP and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure or AWS.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field