Lead Gen AI Engineer
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
