Lead AI Engineer

Nasze wymagania: A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields. 5+ years of experience in the field of AI operations, machine learning, and DevOps. Proven leadership experience, preferably leading small teams of AI Ops engineers. Minimum of 4 years of professional experience in AI Ops, machine learning, and DevOps. Preferred certifications in AI, machine learning, and cloud platforms (e.g., AWS, Azure, GCP). Proficiency in Python, SQL, and relevant AI libraries (e.g., TensorFlow, PyTorch). Familiarity with cloud platforms (e.g., GCP, AWS) and containerization (Docker, Kubernetes). Excellent problem-solving, critical thinking, and analytical skills. Excellent communication, collaboration, and leadership skills. Familiarity with AI best practices, including model versioning, monitoring, and automated deployment. Ability to travel to other client offices or locations as needed. Zakres obowiązków: Collaborate with technical stakeholders to define the AI strategy and objectives. Leading the development of AI strategies and roadmaps aligned with business goals and objectives. Design and implement end-to-end AI pipelines, from data ingestion to model deployment. Designing and developing complex machine learning algorithms including advanced techniques in deep learning, reinforcement learning, or other AI subfields. Lead and manage a team of junior AI Ops Engineers. Provide technical guidance, mentorship, and career development to the team. Foster a culture of continuous learning, innovation, and best engineering practices. Developing robust strategies for deploying AI models into production environments Implement best practices for model versioning, monitoring, and scalability. Collaborate with DevOps teams to integrate AI pipelines into CI/CD workflows. Oversee the seamless deployment of AI models into production environments. Lead Implementation of monitoring solutions to track model performance, detect data drift, and ensure data quality. Ownership of end-to-end AI design and Implementation from technology perspective Ensure robust security controls and compliance with industry standards (e.g., GDPR, HIPAA) for AI systems. Collaborate with legal and compliance teams to address regulatory requirements. Work closely with cross-functional engineering teams to understand operational requirements. Communicate effectively with technical leaders, project managers, and business stakeholders. Provide regular updates on project progress, performance, and technical roadblocks. Oferujemy: Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. All employees are expected to work from the office at least once per week. For those based outside of Warsaw, attendance will be required on specific days or for team events, which are anticipated to take place approximately two days per month. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.