AI Engineer

Responsibilities

• check_circle Design, adapt, and implement machine learning and classical algorithms from proof of concept (POC) to working prototypes.
• check_circle Plan and conduct experiments to address critical business questions.
• check_circle Develop and maintain model testing and statistical verification processes.
• check_circle Implement data processing and training pipelines.
• check_circle Extend existing machine learning and deep learning codebases and frameworks.
• check_circle Thoroughly document POCs and experiments.
• check_circle Plan and lead long-term research activities.
• check_circle Assist in recruiting talent in the field.
• check_circle Stay up-to-date with the latest developments in AI and machine learning.

Basic qualifications

• Proven track record in developing image/video processing and computer vision solutions.
• 3+ years of experience as a machine learning engineer/researcher or in a similar role.
• Proficiency with common Python machine learning frameworks (scikit-learn, SciPy, Matplotlib, PyTorch, etc.).
• Strong understanding of data structures, data modeling, and software architecture.
• Ability to write clean, robust, and efficient code.
• Excellent communication and presentation skills in English.
• MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Candidates with a B.Sc. degree and equivalent industrial experience are also encouraged to apply.
• A track record of publications in top-tier AI conferences or journals.
• Experience deploying machine learning/AI systems in production environments.
• Familiarity with containerization technologies (e.g., Docker).
• Knowledge of databases (SQL, MongoDB) and basic networking or message-passing protocols.
• Experience with cloud platforms (Google Cloud Platform, AWS, Azure).
• Proficiency with MLOps frameworks (DVC, MLflow, Metaflow, Databricks).
• Familiarity with CI/CD tools (Jenkins, GitLab CI/CD, Screwdriver, Spinnaker, or similar).

About the company