Artificial Intelligence Engineer (plus 3D)
Plain Concepts
- España
- Permanente
- Tiempo completo
- Participating in the design and development of AI solutions for challenging projects.
- Building production level ML/AI solutions, with solid software engineering and ML/AI principles.
- MLOps.
- Automated deployment and monitoring (models and infrastructure).
- Data analysis (data cleaning, variable transformation, etc.).
- Developing and training ML models.
- Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.
- More than 5 years of experience in AI / Machine Learning / Computer Science.
- Can build an “end-to-end software product” which has machine learning component.
- Knowledges in applied computer vision.
- Point clouds and 3D meshes: Experience working with point clouds and 3D meshes, using both traditional and AI algorithms.
- Medical imaging: Knowledge in medical imaging and familiarity with medical formats such as Dicom or Nifti.
- Strong skills in Python and reasonable SQL understanding.
- Experience in building ML/deep learning pipelines and models.
- Experience in implementing production ready ML models using current ML/Deep learning techniques.
- Deep learning and neural networks. Expertise in deep learning and high-level neural networks, with the ability to adapt the current state of the art for application in imaging and 3D.
- Experience with Deep learning frameworks like Tensorflow, PyTorch etc.
- Experience with Big Data projects and tools.
- Experience writing RESTful web services.
- Experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.)
- Experience with source code version control tools.
- Experience working with Azure or other cloud-based solution.
- Azure Machine Learning: Experience with Azure Machine Learning is a plus, although not essential.
- Experience with one or more of the following: Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar.
- TensorFlow Lite, TensorFlow serving y grpc.
- Unit testing knowledge.
- Solid object-oriented programming skills.
- Salary determined by the market and your experience 🤑
- Flexible schedule 35 Hours / Week 😎
- Fully remote work (optional) 🌍
- Flexible compensation (restaurant, transport, and childcare) ✌
- Medical and dental insurance (completely free of charge for the employee) 🚑
- Individual budget for training and free Microsoft certifications 📚
- English lessons (1 hour/week) 🗽
- Birthday day off 🌴🥳
- Monthly bonus for electricity and Internet expenses at home 💻
- Discount on gym plan and sports activities 🔝
- Plain Camp (annual team-building event) 🎪
- ➕ The pleasure of always working with the latest technological tools!
- We don’t do bodyshopping or outsourcing
- Our teams are multidisciplinary, and the organizational structure is flat and horizontal
- We are very committed to AGILE values
- Sharing is caring: We help, support, and encourage each other to expand our knowledge internally and also towards the community (with conferences, events, talks…)
- We always look for creativity and innovation, even when the idea might seem crazy to others
- Transparency is key to any relationship