AI Engineer

Job Description

We are seeking a talented AI Engineer to join our dynamic team in Cambridge. The successful candidate will have hands-on experience in creating AI models and algorithms while working at the intersection of technology and innovation. This role involves contributing to the development of state-of-the-art AI solutions to drive our projects forward.

Responsibilities

• Research and implement cutting-edge AI technologies to solve complex problems.
• Work closely with stakeholders to gather requirements and define project goals.
• Design and maintain scalable AI systems that can handle large datasets effectively.
• Collaborate with cross-functional teams to ensure successful project outcomes.
• Conduct experiments to test model performance and validate results.
• Monitor AI systems post-deployment for performance optimization.
• Participate in code reviews to ensure high-quality standards are met.
• Engage with the tech community to share knowledge and stay abreast of trends.
• Contribute to the company’s intellectual property through innovative research.
• Assist in the development of training data pipelines for model training.

Requirements

Education

• Bachelor's degree in Computer Science, Data Science, or related field
• Master's degree in AI or ML is preferred

Experience

• 3+ years of hands-on experience in AI engineering

Technical Skills

• Natural Language Processing (NLP)
• Scikit-learn

Soft Skills

• Effective Communication
• Project Management

Certifications

• Professional Data Engineer
• Machine Learning Certification from Coursera

Languages

• English: Fluent

Advantageous

• Familiarity with data visualization tools: Experience using data visualization tools to present and analyze data effectively.
• Expertise in generative models: Knowledge in advanced generative models such as GANs.

Benefits

• Comprehensive health and wellness benefits
• Annual performance bonuses
• Work-life balance initiatives
• Professional development support

Company Culture

• Continuous Improvement: We believe in continuous improvement, enabling our teams to learn from each project and grow.
• Work-Life Balance: Promoting a healthy work-life balance is essential for our team’s happiness and productivity.
• Openness to Feedback: We promote a culture of openness where constructive feedback is welcomed and encouraged.