Responsibilities

• Develop and implement model-based reinforcement learning algorithms to enhance industrial automation systems.
• Analyze sensor data and convert it into actionable insights for AI-powered control systems.
• Collaborate with domain experts to understand their needs and translate them into AI agent requirements.
• Test and validate AI models to ensure they meet performance metrics and operational standards.
• Contribute to the continuous improvement of our AI algorithms through research and experimentation.
• Stay updated on the latest advancements in AI and machine learning to incorporate best practices into our solutions.

Requirements

• Ph.D. or Master’s degree in Computer Science, Data Science, or a related field.
• Proven experience in reinforcement learning, particularly in model-based approaches.
• Strong programming skills in Python and familiarity with machine learning frameworks.
• Understanding of industrial automation and control systems is highly desirable.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills to effectively convey complex concepts to non-technical stakeholders.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working hours and remote work options.
• Comprehensive health insurance and wellness programs.
• Opportunities for professional development, including workshops and conferences.
• A collaborative and innovative work environment that fosters creativity.
• Access to cutting-edge technology and resources to drive your research.