01 Zakres zadań
- Leading machine learning and process automation projects from the concept phase through to production deployment
- Collaborating with clients to identify areas with high potential for transformation using ML, AI, and automation
- Designing and implementing ML models using modern frameworks and analytical tools
- Delivering solutions in cloud environments (Azure, AWS, others) with a focus on scalability and reliability
- Applying MLOps practices (model monitoring, retraining, deployment, governance)
- Ensuring solutions comply with Responsible AI principles, data ethics, and privacy protection
- Clearly communicating analysis results and recommendations to business and technical stakeholders
- Managing, mentoring, and developing teams of ML engineers and automation specialists
- Ensuring high-quality project deliverables and timely completion of objectives
- Co-creating the ML & Automation competency development strategy within the Data & AI team
- Building and developing a repository of reusable assets, accelerators, and architectural patterns
- Providing technical input for proposals, offers, and presales, including defining architecture and estimates
- Monitoring market and technology trends (ML, GenAI, Agentic AI, automation)
- Knowledge sharing – internal and external thought leadership
