Solution Architect (Python)

PIN-UP.TECH is one of the directions of the international ecosystem PIN-UP Global, which operates in six countries — Ukraine, Poland, Kazakhstan, Cyprus, Peru, and Armenia. PIN-UP.TECH is the foundation of today’s international ecosystem of PIN-UP Global, the main products of PIN-UP.TECH are platforms for Ukraine and Kazakhstan. PIN-UP Global is an ecosystem of independent companies involved in the life cycle of various entertainment products. Ecosystem companies introduce innovative technologies, non-standard solutions for the development and scaling of products and services.

Requirements
- Proven experience as a Machine Learning Engineer or Architect, with a strong portfolio showcasing your skills and achievements;
- Experience with ML and deep learning frameworks;
- Data processing tools such as Apache Spark or Hadoop;
- Cloud computing platforms such as AWS, Azure, or Google Cloud and AI solutions;
- Extensive experience with Machine Learning infrastructure, including tools for model deployment, testing, and monitoring;
- Strong expertise in data acquisition, validation, and preprocessing;
- Excellent problem-solving skills with the ability to work independently and make data-driven decisions;
- Design of schemes UML2.0/C4 model/ArchiMate;
- Commercial development experience 7+ years;
- Experience in building high-performance systems;
- Experience in designing microservice systems with the principles of fault tolerance, horizontal scaling, and high availability;
- Strong system design skills;
- Estimation and scope decomposition;
- Expert knowledge of design, coding, unit testing, and configuration management best practices;
- Expert knowledge of development tools, libraries, and frameworks;
- English level: B2+.

Will be plus
- Experience as a Machine learning Engineer/Architect for at least 2 years;
- Experience DBA(SQL/NoSQL) and messaging services (Kafka, NATS, etc.);
- Experience with cloud AI solutions;
- Computer science, Machine learning grade;
- Engineering certification with passing exams;
- Continuous learning and self-development.

Responsibilities
- Designing, building, and maintaining the AI / Machine Learning infrastructure to support our data scientists and their AI-related tasks;
- Ensuring the seamless acquisition of data, validating its quality, and preparing it for analysis.

Our benefits to you
🍀An exciting and challenging job in a fast-growing product ecosystem, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;
🤝Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;
📍Beautiful offices in Kyiv, Warsaw, Limassol, Almaty, Yerevan – work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;
🧑‍💻Laptop & all necessary equipment for work according to the ecosystem standards;
🏖Paid vacations, personal events days, days off;
🫖Paid sick leave;
👨‍⚕Medical insurance;
💵Referral program — enjoy cooperation with your colleagues and get a bonus;
📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;
🗣Free internal English courses;
🤸‍♀Sport benefit ;
🦄Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;
🎳Company events, team buildings.

About PIN-UP Global

PIN-UP Global is an ecosystem of independent companies involved in the life cycle of various entertainment products. PIN-UP Global is divided into directions depending on the profile. In each direction, there can be one or more companies interacting with each other by competition and cooperation. Ecosystem companies introduce innovative technologies, non-standard solutions for the development and scaling of products and services.

PIN-UP Global is divided into directions depending on the profile. In each direction, there can be one or more companies interacting with each other by competition and cooperation.
● PIN-UP.TECH
Includes IT companies that specialize in technological solutions that are unique for the market, allowing partners to maintain their leading positions and provide high quality products.
● PIN-UP.BUSINESS
The companies included in it have expertise in the legal field, finance and apply the best practices of marketing communications to achieve the goals of the customer. It also includes an in-house full-cycle recruiting agency.
● PIN-UP.CARE
Directions for working with non-profit organizations that declare the principles of social responsibility in the field of human rights, labor relations, environmental protection and charitable activities.
● PIN-UP.TRAFFIC
The direction provides the development of software and tools for working with affiliate partners. The companies included in PIN-UP.TRAFFIC are responsible for attracting high-quality traffic to the products and services that customers need.
● PIN-UP.CRM
This is a group of companies, the scope and task of which is to build a high-quality level of service and marketing for all customers of the ecosystem. The specialists of PIN-UP.CRM promptly solve problems and simplify the life of customers.
● PIN-UP.TEAM
This segment is focused on important principle of the ecosystem’s culture — well-being of our specialists. To do this, we regularly implement programs not only for adaptation, development and training of employees, but also for leisure activities.
● PIN-UP.PLAY
In this direction are represented independent companies that launching an operation model of online entertainment business under the PIN-UP trademark with requirements of local and international regulators.

Our mission – based on deep market knowledge and the latest technologies, develop the Ecosystem companies and remain industry leaders.

Company website:
https://pin-up.global/

DOU company page:
https://jobs.dou.ua/companies/pin-up-tech/
Job posted on 23 April 2024
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