Lead Gen AI Engineer

Wymagania

• Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production (5+ years)

• At least 1 year of relevant leadership experience

• Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g., TensorFlow, PyTorch and Scikit-Learn)

• Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code

• Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners

• Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery

• English level of minimum B2 (Upper-Intermediate) for effective communication

Zakres obowiązków

• Own and lead the entire development lifecycle for AI/ML models, including code and model changes, unit testing, evaluation, and model drift testing to deliver reliable, scalable end-user systems

• Plan and manage the model improvement lifecycle – enhance the model, review model performance results, perform error analysis

• Identify opportunities to improve, scope the effort (experiments, fixes, etc.), and repeat the process iteratively until the success criteria for the use case are met

• Break down complex problems into manageable tasks, provide estimates on required effort, prioritize tasks, etc.

• Manage stakeholders with periodic updates on progress, aspirational delivery roadmap, etc.

Seniority

• Lead

Opis

We are looking for a Lead Gen AI Engineer with the proven ability to manage project timelines and deliver high-quality models and code that aligns with business goals. As an individual contributor, you will manage a team of 5-7 Data Scientists. The successful candidate will combine strong problem-solving skills with a collaborative approach to ensure team success. You will work with the Data & Analytics team to extract information (metadata) from structured/unstructured documents in PDF, HTML, Excel, etc., using GenAI capabilities (Gemini, OpenAI, etc.). This is a hybrid role requiring presence in the office in Gdansk 2 days a week. Responsibilities Own and lead the entire development lifecycle for AI/ML models, including code and model changes, unit testing, evaluation, and model drift testing to deliver reliable, scalable end-user systems Plan and manage the model improvement lifecycle – enhance the model, review model performance results, perform error analysis Identify opportunities to improve, scope the effort (experiments, fixes, etc.), and repeat the process iteratively until the success criteria for the use case are met Break down complex problems into manageable tasks, provide estimates on required effort, prioritize tasks, etc. Manage stakeholders with periodic updates on progress, aspirational delivery roadmap, etc. Requirements Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production (5+ years) At least 1 year of relevant leadership experience Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g., TensorFlow, PyTorch and Scikit-Learn) Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery English level of minimum B2 (Upper-Intermediate) for effective communication

Słowa kluczowe / Umiejętności