Graduate opportunity: AI Engineer

Náplň práce, právomoci a zodpovednosti:
Are you passionate about leveraging AI and machine learning to tackle real-world logistics challenges? Join our dynamic team and make a significant impact on our fulfillment processes and overall efficiency.

Key Responsibilities:
- Design and implement AI/ML models to address logistics challenges such as demand forecasting, inventory management, and anomaly detection.
- Collaborate with data scientists, analysts, and operations teams to identify opportunities for AI integration in fulfillment processes.
- Develop scalable machine learning pipelines and deploy models into production environments.
- Work with large-scale structured and unstructured logistics data to extract actionable insights.
- Integrate AI solutions with existing logistics platforms and enterprise systems.
- Monitor model performance and continuously improve accuracy and efficiency.
- Stay current with advancements in AI, machine learning, and logistics technologies.

Zamestnanecké výhody, benefity:
- Be part of a forward-thinking team that values innovation and efficiency.
- Work on challenging projects that have a direct impact on our logistics operations.
- Collaborate with talented professionals in a supportive and inclusive environment.
- Continuous learning and development opportunities to stay ahead in the field.

What we offer:
- 3 sick days per year
- Additional vacation days
- 100% sick leave compensation up to 2 months per year
- A broad selection of soft and hard skills trainings and individual mentoring
- 1:1 contribution to the Third Pillar Pension System
- Home office flexibility upon team agreement

Požiadavky na zamestnanca:
- 0-3 years of experience in a similar role - this position is suitable for fresh graduates.
- AI and ML experience is a plus.
- Strong collaboration skills to work effectively with cross-functional teams.
- Expertise in developing scalable machine learning pipelines.
- Proficiency in handling large-scale structured and unstructured data.
- Experience in integrating AI solutions with enterprise systems.
- Ability to monitor and improve model performance.