Senior AI Engineer

Job Description

G-P is seeking a Senior AI Engineer to design, develop, and deploy AI solutions. The ideal candidate will possess advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems. This role requires a proactive attitude, excellent communication skills, and a continuous improvement mindset.

Responsibilities:

• Develop innovative, scalable AI solutions for real business problems.
• Drive the full lifecycle of projects from conception to deployment.
• Manage complex data sets, design efficient data processing pipelines, and train robust models.
• Own highly open-ended projects end-to-end.
• Research new techniques in NLP and ML.
• Work closely with other AI engineers, product managers, and stakeholders.
• Write clear, concise, and comprehensive technical documentation.
• Stay updated on the latest developments in the field.
• Explore and prototype new technologies and approaches.
• Develop and maintain high-quality machine learning services.
• Prioritize robust engineering practices and user-centric development.

Requirements:

• Master’s degree in Computer Science, Machine Learning, or a related field.
• Deep understanding and practical experience in machine learning and natural language processing.
• Strong foundational knowledge in statistical modeling, probability, and linear algebra.
• Extensive practical experience with curating datasets, training models, and analyzing post-deployment data.
• Experience developing and maintaining machine learning services for real-world applications at scale.
• Strong Python programming skills.
• Proficiency with Container Orchestration services such as Docker.
• Proficiency with AWS, including Serverless.
• Proven track record in driving AI projects with strong technical leadership.
• Excellent communication skills.
• Proactive attitude with a continuous improvement mindset.

G-P offers:

• Opportunity to work in a remote-first environment.
• A diverse, equitable, and inclusive culture.