Remote GenAI Expert at Jobgether

, , Japan -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Artificial Intelligence, Machine Learning, Financial Sector, MLOps, Cloud Integration, Python, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, GCP, Predictive Analytics, Data Science Methodologies

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a GenAI Engineer - REMOTE. In this role, you will leverage your extensive experience in Artificial Intelligence and Machine Learning to develop cutting-edge generative AI solutions specifically for the financial sector. Your contributions will directly influence strategic projects, driving innovation and scalability in complex environments. As a key player, you'll collaborate with multidisciplinary teams to ensure the successful implementation of generative AI applications that enhance operational efficiency and business outcomes. \n Accountabilities Desarrollo de modelos de IA generativa para soluciones empresariales. Implementación de pipelines de MLOps y optimización de modelos. Integración de soluciones de IA en entornos cloud. Colaboración con equipos multidisciplinarios para definir y ejecutar proyectos estratégicos. Requirements Más de 8 años de experiencia en roles relacionados con IA/ML. Más de 5 años de experiencia en el sector financiero. Experiencia práctica con tecnologías de Inteligencia Artificial Generativa (GenAI) y sus aplicaciones empresariales. Grado o máster en Informática, Inteligencia Artificial, Ciencia de Datos, Matemáticas, Ingeniería o campos afines. Certificaciones relevantes en IA/ML y tecnologías cloud (AWS, Azure, GCP) valoradas positivamente. Sólida experiencia en Python y librerías de desarrollo de IA (TensorFlow, PyTorch, scikit-learn). Experiencia trabajando con plataformas de IA en la nube (AWS, Azure o GCP). Base sólida en analítica predictiva, metodologías de ciencia de datos y MLOps. Benefits Trabajo remoto con horario flexible. Oportunidades de desarrollo profesional y capacitación. Ambiente de trabajo colaborativo y dinámico. Acceso a tecnologías de vanguardia en IA y ML. Posibilidad de trabajar en proyectos innovadores en el sector financiero. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

The role involves developing generative AI models for enterprise solutions and implementing MLOps pipelines for model optimization. Key tasks also include integrating AI solutions into cloud environments and collaborating with multidisciplinary teams on strategic projects.