ML and Automation Manager

Responsibilities: • 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   Requirements: • At least 5+ years of experience in designing and implementing solutions in the areas of machine learning, advanced analytics, and process automation • Experience with ML/AI deployments in at least one public cloud • Knowledge of modern ML frameworks and analytical tools • Practical knowledge of MLOps and the ML model lifecycle • Understanding of Responsible AI principles, data ethics, and governance • Excellent analytical, communication, and presentation skills • Experience with project work in an agile environment and cross-functional teams • Bachelor's degree (preferably in a technical field); postgraduate studies or AI/ML certifications are a plus • Experience in designing AI architectures or Agentic AI – a major asset   Offer: • Private medical care • Co-financing for the sports card • Training & learning opportunities • Constant support of dedicated consultant • Employee referral program