Description:

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, which includes parallelizing, optimizing, tuning, and testing the models to deploy in a production environment.

Requirements:

More than 5 years of experience in AI / Machine Learning / Computer Science is required.
You must be able to build an “end-to-end software product” that has a machine learning component.
Knowledge in applied computer vision is necessary.
Strong skills in Python and a reasonable understanding of SQL are required.
Experience in building ML/deep learning pipelines and models is essential.
You must have 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.
Proficiency in English is mandatory.

Very nice to have:

Experience with deep learning frameworks like TensorFlow, PyTorch, etc.
Experience with Big Data projects and tools is a plus.
Experience writing RESTful web services is beneficial.
Familiarity with DevOps technology (Docker, Continuous Integration, and Continuous Deployment, etc.) is advantageous.
Experience with source code version control tools is preferred.
Experience working with Azure or other cloud-based solutions is a plus.
Experience with Azure Machine Learning is a plus, although not essential.
Expertise in deep learning and high-level neural networks is desirable.
Experience with one or more of the following: Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems, or similar is beneficial.
Knowledge of TensorFlow Lite, TensorFlow serving, and gRPC is a plus.
Unit testing knowledge is preferred.
Solid object-oriented programming skills are required.

Salary is determined by the market and your experience.
A flexible schedule of 35 hours per week is offered.
Fully remote work is optional.
Flexible compensation options are available for restaurant, transport, and childcare.
Medical and dental insurance is provided completely free of charge for the employee.
An individual budget for training and free Microsoft certifications is included.
English lessons (1 hour/week) are provided.
You will receive a day off for your birthday.
A monthly bonus for electricity and Internet expenses at home is offered.
Discounts on gym plans and sports activities are available.
An annual team-building event called Plain Camp is organized.
You will have the pleasure of always working with the latest technological tools.