AI Engineer

Job Description

Join our innovative team as an AI Engineer, where you will be instrumental in developing intelligent systems that learn and evolve. You will be responsible for creating scalable AI models and systems, while also leveraging your understanding of machine learning frameworks to analyze data and refine performance. This is a fantastic opportunity to contribute to meaningful projects and help shape the future of AI technology.

Responsibilities

• Develop and maintain scalable AI systems that leverage cloud computing platforms.
• Create clear documentation for algorithms and processes established.
• Conduct research on the latest trends in AI to ensure our products stay competitive.
• Assist in the deployment of machine learning models and systems.
• Conduct exploratory data analysis to uncover patterns in datasets.
• Collaborate with stakeholders to define project scope and timelines.
• Present findings and project updates to management and stakeholders.

Requirements

Education

• Bachelor's degree in Computer Science or a related discipline
• Master's degree in AI, Machine Learning or similar is preferred

Experience

• 3+ years in AI engineering or related experience

Technical Skills

• Machine Learning
• Data Analysis

Soft Skills

• Communication
• Problem-solving

Certifications

• Microsoft Certified: Azure AI Engineer Associate
• IBM AI Engineering Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience in natural language processing (NLP): Knowledge of NLP techniques for processing and analyzing language data.
• Experience with reinforcement learning: Understanding of reinforcement learning concepts and frameworks.

Benefits

• Full health insurance package including mental wellness
• Contributory pension scheme
• Flexible work arrangements with a remote option
• Continuous learning and development bonus

Company Culture

• Diversity: Celebrating diversity and promoting a culture of inclusion and respect.
• Flexibility: Promoting a flexible work-life balance that meets the needs of our team members.
• Empowerment: Empowering employees to take ownership of their projects and contribute to the company’s vision.