About the Role
The position involves developing scalable AI solutions, integrating machine learning models into production systems, and working closely with cross-functional teams to deliver advanced technological capabilities across diverse projects.
Responsibilities
- Design and implement machine learning pipelines
- Optimize AI models for performance and scalability
- Collaborate with software developers to integrate AI components
- Conduct research on emerging AI technologies
- Evaluate model accuracy and reliability
- Support deployment of AI systems in cloud environments
- Monitor system behavior and troubleshoot issues
- Document technical workflows and model architectures
- Participate in code reviews and technical planning
- Ensure compliance with data privacy standards
- Work with data engineers to manage training datasets
- Refine algorithms based on real-world feedback
- Contribute to product development cycles
- Present technical findings to non-technical stakeholders
- Maintain up-to-date knowledge of AI advancements
- Assist in defining project requirements
- Improve inference speed and resource efficiency
- Apply natural language processing techniques where needed
- Build automated testing frameworks for AI modules
- Support ethical AI practices in development
Nice to Have
- Master’s degree in artificial intelligence or related discipline
- Published research in machine learning or AI conferences
- Experience with reinforcement learning
- Knowledge of edge computing for AI deployment
- Familiarity with model monitoring tools
- Experience in agile development environments
- Contributions to open-source AI projects
- Understanding of explainable AI techniques
- Background in cybersecurity as it relates to AI
- Experience working in multinational teams
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid remote setup with flexible hours
Team
Collaborative tech-focused team operating across European time zones
Technology Stack
- Primary languages: Python, SQL
- Frameworks: PyTorch, TensorFlow, Hugging Face
- Cloud: Google Cloud Platform, Kubernetes
- Tools: Git, Docker, Jenkins, MLflow
Project Focus
- Development of NLP-driven applications
- Real-time inference systems
- Automated data labeling pipelines
- AI-powered decision support tools
Available for qualified non-EU candidates
