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OFERTA EMPLEO

SENIOR MACHINE LEARNING ENGINEER

  • ARQUIMEA CENTRO DE INVESTIGACIONES AVANZADAS
  • Plazas: 1
  • Las Palmas de Gran Canaria
  • Contrato Indefinido
  • Jornada Completa

Descripción de la oferta

We are looking for Senior ML Engineers to join our team.

Qualifications:
- MSc or PhD in Computer Science, Mathematics, Telecommunications, or Electronics.
- Strong computer science fundamentals, algorithms, and data structures background.
- 2 years experience programming in Python.
- Strong knowledge of ML/DL fundamentals and techniques.
- Proven experience in applied ML/DL; computer vision, natural language processing, and/or audio processing is a plus.
- 2 years experience working with any of the following ML/DL frameworks: Tensorflow, Pytorch.
- Docker containers.
- Deployment of services in cloud-native (Kubernetes) and/or public cloud infrastructure (AWS, Azures or GCP).
- 2 years experience working in agile teams following SCRUM or KANBAN.

We will also value:
- Processes and applications of artificial perception in robotics (UGV and/or UAV).
- Development of AI proofs of concept (PoC) and prototypes in R&D projects.
- GPU programming (CUDA or OpenCL), parallel programming.

Tareas a realizar

- Work with other ML engineers, ML researchers, data scientists and software engineers, to develop outstanding AI technology.
- Study and apply state-of-the-art concepts, methods and tools proposed in major ML/DL scientific forums (e.g., ICCV, CVPR, NeurIPS, ICML, ICLR) and journals.
- Test and adapt open-source code implementing state-of-the-art concepts, methods, and techniques.
- Design, train, verify and validate, deploy, and operate efficient, reliable, and scalable ML models, leveraging
- Co-lead AI research projects in computer vision, natural language processing, automated speech recognition, or any other ML/DL topic.
- Bring ML/DL capabilities to interdisciplinary agile research teams, collaborating with researcher and engineers from other disciples, following an agile methodology.
- Carry out technology scouting to identify and validate state-of-the-art technologies able to provide at least a 10x impact.