At G-P, our mission is to break down barriers to global business, enabling opportunities for everyone, everywhere. With remote-first and diverse teams all around the world, our people are key to achieving this mission. That’s why we trust our Dream Team members with the flexibility and autonomy to do their best and most innovative work, encourage and support their personal growth and career development, and believe in recognition for a job well done.
Our industry-leading SaaS-based Global Employment Platform™ enables our customers to expand and grow into 180+ countries, creating more opportunities for global success – without requiring entity or subsidiary setup. The technical opportunities you’ll experience here have a positive impact on people and their work/life possibilities around the world. Beyond the power of our platform, we never forget that behind every hire is a human being. And that brings us to you.
If you have a passion for automation, are a deep innovator, and want to solve complex problems that lead to a world of positive results, consider G-P. Here, your knowledge and experience will be crucial to helping design and develop high-performing cloud-based software products using traditional Agile methodologies and modern frameworks.
Beyond a competitive compensation and benefits package, what we offer to all employees along the way is the clear and simple promise of Opportunity Made Possible. Come expand your skills in new ways and experience the thrill of your best innovations becoming reality.
About the role:
As a Principal 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.
- Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions. Expect to dedicate about 20% of your time to understanding problems and collaborating with stakeholders.
- Manage complex data sets, design efficient data processing pipelines, and work on robust models. Expect to spend approximately 80% of your time on data and ML engineering tasks related to developing AI systems.
- 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.
- Able to work independently and influence at different levels of the organization.
- Highly motivated and result driven
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 LLMs
- 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
- High standards for code craftsmanship (maintainable, testable, production-ready code)
- Proficiency with Docker
- Knowledge of system design and cloud infrastructure for secure and scalable AI solutions.
- Proficiency with AWS
- Proven track record in driving AI projects with strong technical leadership.
- Excellent communication skills when engaging with both technical and non-technical stakeholders
Nice To Have Qualifications:
- Experience with natural language processing for legal applications
- Proficiency with Terraform
- React and Node.js experience
If you're ready to make an impact in a high-paced startup environment, with a team that embraces innovation and hard work, G-P is the place for you. Be ready to hustle and put in the extra hours when needed to drive our mission forward.
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We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks.
About Us
G-P helps growing companies unlock their full potential by making it possible to build highly skilled global teams in days instead of months. Through our SaaS-based platform, we help find, hire, onboard, pay, and manage team members, quickly and compliantly, to expand growth opportunities for everyone, everywhere – without the hassle of setting up local subsidiaries or branch offices.
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 [email protected].
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What We Do
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