Artificial Intelligence Engineer (plus 3D)
Spain - Remote
Applications have closed
Plain Concepts
We offers customized, innovative and attractive solutions for all types of digital needs. Cloud, Big Data, Artificial Intelligence, AR/VR, IoT, Blockchain ...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 goal is to keep growing as a team, developing the best and most advanced projects in the market.
We truly believe in the importance of bringing together people from different backgrounds and countries to build the best team, with a diverse and inclusive culture.
What do we do at Plain Concepts?
We are characterized for having a DNA 100% technical. We develop customized projects from scratch, technical consultancy and training.
- 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
To know more about us, take a look in our website:
➡ https://www.plainconcepts.com/case-studies/
At Plain Concepts, we certainly seek to provide equal opportunities. We want diverse applicants regardless of race, colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Big Data Computer Science Computer Vision Data analysis Deep Learning DevOps DICOM Docker Engineering Machine Learning ML models MLOps NLP OOP Pipelines Python PyTorch Research SQL TensorFlow Testing Unsupervised Learning
Perks/benefits: Career development Conferences Flex hours Health care Insurance Salary bonus Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs