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