About Us
Our leading SaaS-based Global Growth Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.
Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.
The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.
At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.
As a Senior AI Engineer, you will design, develop, and deploy AI solutions that address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems.
Key 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. Expect to spend approximately 70% of your time on data and ML engineering tasks related to developing AI systems.
- 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.
Required Skills and Qualifications:
- 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
Preferred Qualifications:
- Experience with LLMs for non conversational use cases
- Experience with natural language processing for legal applications
- Proficiency with Terraform
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G-P. Global Made Possible.
G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.
G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.
