Artificial Intelligence Engineer (plus 3D)
Plain Concepts, Spain
Job Description
We are expanding our development teams and although we don’t care much about titles, we call this role Artificial Intelligence Engineer.
As an Artificial Intelligence Engineer, you will be part our international Artificial Intelligence team developing tailored solutions to satisfy our client's needs. We are looking for a passionate AI Engineer with background in machine/deep learning. You will be training, and deploying models, putting research into production, among other tasks.
You will be part of a multidisciplinary team, taking care of the software engineering challenges associated with AI. You will take part in challenging projects using cutting edge technologies. You will work in an international environment with the possibility of working from home or from our offices.
Our vision is to build multidisciplinary teams which directly manage projects in an AGILE way to find and implement the best solutions
You will be responsible for:
- 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.
Requirements
What are we looking for?
- 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.
Nice to have:
- 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.
Benefits
What do we offer?
- Salary determined by the market and your experience
- Flexible schedule 35 Hours / Week (1 year trial period)
- 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!
With all this information you already know a lot about us. Will you let us know you better?
The selection process? Simple, just 3 steps: a call and 2 interviews with the team
And you may wonder Who is Plain Concepts?
Plain Concepts is made up of 400 people who are passionate about technology, driven by the change towards finding the best solutions for our customers and projects.
Throughout the years, the company has grown thanks to the great technical potential we have and relying on our craziest and most innovative ideas. We currently have over 14 offices in 6 different countries. Our main