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