Requirements

• Commercial experience in Computer Vision and Video Analytics.
• Practical experience with RTSP, DeepStream, GStreamer, TensorRT.
• Excellent knowledge of PyTorch, OpenCV, YOLO.
• Experience in model optimization (ONNX, TensorRT, OpenVINO, CUDA).
• Understanding modern Vision Transformers (ViT, DETR, Swin, TimeSformer, ViViT) and multimodal models (LLaVA, Qwen-VL).
• Experience working with LLM, RAG and agent systems will be an advantage.
• Experience in the development of production AI systems and ML services.

• DeepStream SDK.
• CUDA.
• Triton Inference Server.
• Kafka.
• Kubernetes.
• LangGraph.
• vLLM.
• MLflow.

You will have to participate in the development of new machines for the construction of wind turbine towers throughout the life cycle: from the selection of a technical idea and preliminary design to the implementation of the machine in hardware. As a guideline on the level of complexity of the machines being developed, you can watch the video on the website nabrawind.com

Basic knowledge of one or more programming languages (for example, Java, C#, Python, JavaScript, Go).

Understanding the principles of object-oriented programming (OOP).

Knowledge of basic algorithms and data structures.

Understanding how databases work and the ability to write simple SQL queries.

Basic knowledge of HTML, CSS and JavaScript (for web development).

Skills of working with the Git version control system.

Understanding how the REST API works.

The ability to read technical documentation in English.

The desire to learn and quickly master new technologies.

• Work experience in the field of technical support or system administration.   

• Basic knowledge of computers, operating systems (e.g., Windows, Linux), and office applications.

• Understanding of computer networking fundamentals, including IP addressing, DNS, Wi-Fi, and local area networks (LAN).

• Skills in installing and configuring software.
• Ability to diagnose and resolve basic technical issues.
• Strong verbal and written communication skills.
• Good customer service and user communication skills, with professionalism, courtesy, and the ability to work effectively under pressure.
• Analytical thinking and the ability to learn new technologies quickly.
• Responsible, detail-oriented, and disciplined.
• Ability to work effectively both independently and as part of a team.

• Confident PC ownership: an advanced user of Google Docs and Google Sheets.
• Competent communication: the ability to express thoughts clearly and in a structured manner, both in written and oral form.
• Analytical mindset: attention to detail, the ability to quickly find patterns and relationships in data.
• Organization: responsibility when performing tasks

• It is very important to have an interest in learning and work!

Customer experience and willingness to communicate

Secure PC ownership, Google Docs

Willingness to learn

Clear diction, competent speech

A vacancy for a Data Engineer has been opened in an IT company/Date engineer.

Requirements:

At least 2 years of experience in the field of big data warehouse development;

Knowledge of data and analytics concepts (e.g. modeling, ETL, reporting tools, data management, data storage;

Experience working with regulatory reporting (in banks), creating reports, understanding the difference in attributes;

Knowledge of the fundamental foundations of Computer Science, in particular the architecture of distributed file systems;

Experience working with ETL/ELT systems (Informatica, Airflow, Dagster, Apache Nifi, Apache Spark, PXF), DBT transformation;

Experience working with Apache Kafka and Rabbit MQ streaming data processing services;

Experience working with reports and business intelligence packages, for example: Tableau, QlikView, SAP , etc.;

Experience working with programming languages, such as writing bash scripts in UNIX or programming in Python;

Experience using a data transformation tool (DBT, Spark, Python);

Experience working with relational databases (Oracle, MS SQL Server/MySQL);

Experience working with non-relational, columnar databases (Greenplum, Vertica, Vector databases, Clickhouse, Scylla DB);

Experience in building repositories for the financial sector;

Experience working with DataGovernance tools;

Experience in data schema, database, and storage design;

Experience working with big data platforms (e.g. HBase, ClickHouse, Druid, MemSQL, Hive, Minio);

Experience of integration with CDC technologies (GoldenGate, Informatica, Debezium)

Experience working with the development of the Credit Register report will be a significant advantage.

Requirements:

• Product Management experience of at least 5 years: experience in B2C products in Travel, E-commerce, Marketplace or Classified.
• AI skills: You actively use Claude and Cursor to work with code/prototypes.
• Data-driven approach: You pull out the data yourself and make decisions based on it.
• Autonomy: We give you the backlog and don't micromanage it. We need a result, not a process.
• Empathy for the user: A sincere desire to turn a complex booking flow into an understandable and pleasant flow.

Responsibilities:

• Communicating with users in an online chat.
• Consulting on service issues based on ready-made instructions.
• Processing incoming requests.
• Transfer of complex queries to specialized specialists.
• Maintaining simple accounting records.

Requirements:

• Strong written and oral communication skills in Kazakh and Russian;
• The skills of working with AI tools will be an advantage.;
• Work experience in PR of at least 4 years, preferably in lifestyle, travel or related industries;
• Proven experience in crisis communications: the ability to lead stakeholders in conditions of uncertainty, keep a single line and not lose the pace of response;
• Deep understanding of Kazakhstan's media landscape: strong networking with leading local media and bloggers;
• Understanding trends in digital, social marketing, and the influencer space;
• Experience in planning and managing PR budgets: budgeting, cost control, budget protection to management, optimization without loss of efficiency;
• The ability to work with contractors and agencies: clear objectives, quality control and deadlines, managing multiple contractors simultaneously without loss of consistency.