Collaborate with data scientists, machine learning engineers, and DevOps teams to create robust, scalable, and reliable AI pipelines.
Design, Develop and maintain automated processes for model training, deployment, and inference, ensuring best practices for model versioning, monitoring, and automated scaling.
Implement infrastructure as code (IaC) principles to create reproducible AI environments and integrate AI pipelines into continuous integration and continuous deployment (CI/CD) workflows.
Ensure seamless and secure deployment of AI models into production environments.
Implement monitoring solutions to track model performance, detect data drift, and maintain data quality.
Design and implement deep learning algorithms and neural networks for tasks such as image recognition, natural language processing (NLP), and speech recognition.
Troubleshoot and optimize AI pipelines for efficiency, reliability, and compliance with industry standards (e.g., GDPR, HIPAA).
Lead and mentor a team of junior AI Ops Engineers, providing technical guidance on AI Ops frameworks, deployment strategies, and observability.
Foster a culture of continuous learning and innovation within the team, encouraging the exploration of new technologies and best practices.
Collaborate with business stakeholders to understand AI project objectives and communicate progress and performance effectively.
requirements-expected :
A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
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).
Strong problem-solving skills and ability to work in a collaborative environment.
Proven track record of designing, implementing, and optimizing end-to-end AI pipelines.
Demonstrated leadership experience, preferably leading small teams of engineers.
Strong communications skills.
offered :
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.
