Description:

We are expanding our AI team and looking for a Senior IA/ML Engineer, also referred to as a Data Scientist.
You will be part of an international AI/ML squad, crafting tailor-made solutions for clients.
Your responsibilities include training, deploying, and implementing groundbreaking AI developments.
You will work on unique challenges of AI-powered software alongside a talented team.
The role allows for flexibility in work location, whether from home or in the office.
We operate under AGILE principles, with multidisciplinary teams and full ownership of projects.
You will participate in the design and development of AI solutions for challenging projects.
Your tasks will include building production-level ML/AI solutions, MLOps automated deployment and monitoring, data analysis, developing and training ML models, and putting AI models into production.

Requirements:

You must have more than 7 years of experience in AI, Machine Learning, or Computer Science.
You should be able to build an end-to-end software product that includes a machine learning component.
Knowledge in applied computer vision is required.
Strong skills in Python and a reasonable understanding of SQL are necessary.
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 highly valuable for the team.
Experience in projects involving Natural Language Processing (NLP) is necessary.
Proficiency in English is mandatory.
It is very nice to have experience with deep learning frameworks like TensorFlow and PyTorch, Big Data projects and tools, writing RESTful web services, DevOps technology, source code version control tools, and working with Azure or other cloud-based solutions.
Familiarity with Azure Machine Learning, deep learning, neural networks, and expertise in various AI techniques is a plus.
Knowledge of unit testing and solid object-oriented programming skills are also beneficial.

The salary will be determined by the market and your experience.
You will enjoy a flexible schedule of 35 hours per week.
Fully remote work is an option.
Flexible compensation is available for restaurant, transport, and childcare expenses.
Medical and dental insurance is provided completely free of charge for employees.
An individual budget for training or equipment and free Microsoft certifications will be offered.
English lessons are available.
You will receive a day off for your birthday.
A monthly bonus for electricity and internet expenses at home will be provided.
Discounts on gym plans and sports activities are available.
An annual team-building event called Plain Camp will be organized.
Additional perks include event attendance, welcome packs, baby baskets, Christmas baskets, and a discount portal for employees, along with the opportunity to work with the latest technological tools.