Senior AI Engineer
Hace 3 días
La Romana, La Romana, República Dominicana
FullStack
Trabajo remoto
Jornada completa
About FullStack
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.
We’re Most Proud Of
Offering life-changing opportunities for talented software professionals across the Americas.
Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
Our 4.2-star rating on GlassDoor.
Our client Net Promoter Score of 68, twice the industry average.
The Opportunity
Join our talent network and connect with U.
S. clients for flexible, project-based development work as a Senior AI Engineer. You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis. What We're Looking For 5+ years of professional experience in Machine Learning, AI Engineering, or a related field. Advanced English is required. Successful completion of a four-year college degree is required. Proven experience building and deploying machine learning models in production environments. Hands-on experience with model compression techniques such as quantization, pruning, and distillation. Demonstrated experience deploying and running models on edge or mobile devices. Solid understanding of latency optimization and performance constraints in resource-limited environments. Practical experience working with efficient model architectures designed for on-device inference. Proficient in Python and experienced with common ML frameworks such as TensorFlow or PyTorch. Solid background in the end-to-end ML lifecycle, from experimentation to deployment. Strong problem-solving and analytical skills. Track record of collaborating with cross-functional teams to deliver data-driven or ML-based solutions. Ability to work through new and difficult issues and contribute to libraries as needed. Ability to create and maintain continuous integration and delivery of applications. Forensic attention to detail. A positive mindset and a can-do attitude. Experience working on Agile / Scrum teams. Meaningful experience working on large, complex systems. Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon. Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them. Ability to consistently work 40 hours per week.
What We Offer
Competitive pay. 100% remote work. The ability to work with leading startups and Fortune 500 companies. Continuing education opportunities. Opportunity to grow and expand your career. Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration. Learn more about our Applicants Privacy Notice.
S. clients for flexible, project-based development work as a Senior AI Engineer. You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis. What We're Looking For 5+ years of professional experience in Machine Learning, AI Engineering, or a related field. Advanced English is required. Successful completion of a four-year college degree is required. Proven experience building and deploying machine learning models in production environments. Hands-on experience with model compression techniques such as quantization, pruning, and distillation. Demonstrated experience deploying and running models on edge or mobile devices. Solid understanding of latency optimization and performance constraints in resource-limited environments. Practical experience working with efficient model architectures designed for on-device inference. Proficient in Python and experienced with common ML frameworks such as TensorFlow or PyTorch. Solid background in the end-to-end ML lifecycle, from experimentation to deployment. Strong problem-solving and analytical skills. Track record of collaborating with cross-functional teams to deliver data-driven or ML-based solutions. Ability to work through new and difficult issues and contribute to libraries as needed. Ability to create and maintain continuous integration and delivery of applications. Forensic attention to detail. A positive mindset and a can-do attitude. Experience working on Agile / Scrum teams. Meaningful experience working on large, complex systems. Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon. Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them. Ability to consistently work 40 hours per week.
What We Offer
Competitive pay. 100% remote work. The ability to work with leading startups and Fortune 500 companies. Continuing education opportunities. Opportunity to grow and expand your career. Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration. Learn more about our Applicants Privacy Notice.
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