We are expanding our development teams and although we don't care much about titles, we call this role Senior Data Scientist .
As a Data Scientist Engineer, you will be part of our international AI/ML team developing tailored solutions to satisfy our client's needs. We are looking for a passionate engineer with a 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.
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 a machine learning component.
Knowledge in applied computer vision.
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.
MLOps experience is very valuable for the team.
Experience in projects with NLP is necessary.
ENGLISH IS MANDATORY.
Very 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 solutions.
Azure Machine Learning: Experience with Azure Machine Learning is a plus, although not essential.
Deep learning and neural networks.
Expertise in deep learning and high-level neural networks.
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 and gRPC.
Unit testing knowledge.
Solid object-oriented programming skills.
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.
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 by having a DNA 100% technical. We develop customized projects from scratch, technical consultancy, and training.
We don't do body shopping 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 at 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.
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