Develop and deploy LLM-based solutions and RAG architectures.
Contribute to the end-to-end lifecycle of AI features.
Integrate AI solutions into the company's cloud infrastructure.
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone anywhere compliantly. They are committed to building a global, diverse team representing different backgrounds, perspectives, and experiences.
Build and ship customer‑facing AI, combining Generative AI with machine‑learning techniques.
Develop new models end-to-end, from understanding product requirements to implementation and deployment.
Create an ML Ops framework to ensure models scale effectively with proper monitoring and alerts.
Qonto is creating the leading finance workspace with banking at its core for SMEs in Europe, augmented by financial tools. Founded in 2017 by Alexandre and Steve, Qonto has grown to over 1,600 employees and serves over 600,000 customers across 8 European countries, with a culture that prioritizes customer satisfaction.
Design, build, and operate AI- and machine learning-powered systems.
Develop scalable pipelines, deploying models into production, and integrating AI capabilities into operational systems.
Transform large-scale sensor and orbital datasets into intelligent systems.
LeoLabs is building the living map of activity in space. Through their proprietary global radar network and AI-enabled analytics platform, they collect millions of measurements daily. They are redefining global security, safety, and transparency in space.
Responsible for architecting, developing, and integrating AI and machine learning capabilities.
Leads design and development of AI/ML-enabled application features.
Applies machine learning, natural language processing, or automation techniques.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. As the world’s leading mission capability integrator, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.
Transition AI/ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability.
Develop and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost.
IMO Health combines software development, artificial intelligence, and clinical expertise to create AI-driven solutions. They enhance access to reliable health information, support clinical decision-making, and improve patient outcomes.
Own all engineering deliverables - quality, scalability, and on-time execution.
Lead and manage the full engineering organization: AI Engineers, ML Engineers, MLOps, and Data Engineers.
Define and standardize best practices across the full AI/ML lifecycle — from experimentation through deployment and monitoring.
The Global Talent Co. connects global tech companies with global talent, believing in equal access to opportunities regardless of birthplace. They bridge the gap by finding amazing global talent for leading tech companies.