Senior Ai Engineer

Summary

Join G-P, a leading SaaS-based Global Growth Platform™, as a Senior AI Engineer. You will design, develop, and deploy AI solutions addressing complex business challenges, leveraging your expertise in machine learning and natural language processing. This role demands a deep understanding of AI and its application in production-grade systems. You will manage data sets, build efficient pipelines, and train robust models, while also researching new techniques to enhance business operations. Collaboration with engineers, product managers, and stakeholders is crucial. G-P offers competitive compensation and benefits, along with opportunities for skill expansion and shaping the future of work.

Requirements

• Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field
• Deep understanding and practical experience in machine learning and natural language processing, especially with deep learning architectures
• Strong foundational knowledge in statistical modeling, probability, and linear algebra
• Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability
• Experience developing and maintaining machine learning services for real-world applications at scale
• Strong Python programming skills and ability to write maintainable, production-ready code
• 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 when engaging with both technical and non-technical stakeholders
• Proactive attitude with a continuous improvement mindset, seeking help and providing feedback when necessary

Responsibilities

• Develop innovative, scalable AI solutions for real business problems
• Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives
• Manage complex data sets, design efficient data processing pipelines, and train robust models
• Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions
• Dedicate about 30% of your time to researching new techniques in NLP and ML that could benefit the business
• Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction
• Write clear, concise, and comprehensive technical documentation for all projects and systems developed
• Stay updated on the latest developments in the field
• Explore and prototype new technologies and approaches to address specific challenges faced by the business
• Develop and maintain high-quality machine learning services
• Prioritize robust engineering practices and user-centric development

Preferred Qualifications

• Experience with LLMs for non conversational use cases
• Experience with natural language processing for legal applications
• Proficiency with Terraform

Benefits

Competitive compensation and benefits