Data Scientist (Artellence) in talentC

talentC is a Ukrainian full-cycle recruiting agency.

Our team has been helping leading businesses for over 11 years Ukraine and the world, finding and hiring specialists from Trainee to C-level.

About the partner:

Driving the age of AI. Our goal is to bring the era of artificial intelligence closer, and the field in which we have joined the AI revolution is OSINT (open data intelligence).

We create our own powerful technologies. Biometric identification, photo object analysis, digital footprint research in the network, AI-agents are our solutions, which are used in the investigative activities of law enforcement agencies, during the assessment of potentially risky connections in state tenders, as well as by the largest companies of Ukraine to protect against external and internal threats.

We make a public contribution. We organize our own OSINT conferences and hackathons of an international level, we cooperate with DefenseTech-association Brave1, the Ministry of Digital and EU programs to accelerate the development of advanced technologies in Ukraine.

More details about Artellence - at sites. Read employee reviews - here.

About culture:

Creating what matters. Our technologies contribute to increasing the transparency and security of Ukraine and Ukrainian society.

Building a team of A-players. We work with those who have the potential to become the best at their position and help them realize it through challenging and interesting challenges and mentorship.

Maximizing innovation. Our employees work with the most advanced AI technologies, and the involvement of new tools and approaches is encouraged as much as possible.

We adhere to flexibility. We work in a remote format with a flexible schedule, without bureaucracy and micromanagement.

We support reservations. We assist key employees in preparing documents for reservations.

About position:

Requirements:

• Two years of DS/MLE experience.
• Mathematical background: higher mathematical education (KPI IPSA, Mehmat Shevchenko, etc.), preferably Olympiad experience.
• Deep knowledge of algorithms and data structures, understanding of OOP principles, thorough theoretical and practical knowledge of machine and deep learning.
• Practical experience in solving NLP and Tabular Data ML tasks.
• High proficiency in Python, including experience with machine learning libraries and at least one deep learning framework (TensorFlow, Keras, PyTorch).
• Ability to write clean, maintainable and efficient production-ready code.
• Ability to transform business requirements into technical tasks for ML solutions.
• Feature engineering experience.
• Experience with Git and Docker.
• Experience with databases (SQL/NoSQL) to obtain and prepare data for models.

It will be a plus:

• Experience in solving CV tasks.
• Successful performances at hackathons or Kaggle.
• Experience with Airflow at the level of launching and monitoring tasks.
• Understanding the principles of parallelism in Python and experience with relevant libraries.

Examples of tasks:

• Increasing the accuracy of existing CV, NLP and other models.
• Development of new models from scratch: from R&D and feature engineering to validation.
• Analysis of large data sets to find insights and formulate hypotheses for modeling.

Interested? Send CV!