• Experience building models on the Anaplan platform

• Strong analytical skills and attention to detail, with the ability to work with large

datasets

• Familiarity with business planning processes such as S&OP, Supply Chain, Finance, or Production.

• Anaplan certification or equivalent experience

• Ability to work in Agile project environments and deliver results efficiently

• Strong skills in Excel and financial modeling

• Proficiency in English (B2 or higher)

• Experience in IT implementation or development projects
• Ability to work with both business users and developers (user stories, training, testing)
• Experience in large FMCG or industrial companies — an advantage
• Relevant higher education
• Business analysis certification — an advantage
• Understanding of IT tools supporting planning processes
• Strong analytical and data processing skills
• Ability to visualize and structure information clearly
• Confident presenter with clear written communication
• Systematic and logical thinking
• Strong team player with excellent communication skills
• English proficiency B2 or higher

•  Work experience of at least 1 year in sales (in B2B or IT will be an advantage);

• Interest in the IT field;
• Higher education (preferably technical or in the field of IT);
• Good written and spoken language, negotiation skills;
• Independence and focus on results;
• The desire to work and communicate with people.

• Marketing experience from 1 to 3 years

• Knowledge of offline and online promotion tools and methods of their evaluation

• Creative thinking, the ability to offer non-standard solutions

• Good communication and presentation skills

• Ability to work in a team

• higher or incomplete higher education (marketing, management, economics, advertising, PR or related fields);
• the desire to develop in the field of marketing;
• basic understanding of offline and online promotion principles;
• analytical thinking and attention to detail;
• proficiency in MS Office (Excel, PowerPoint, Word).

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.

• 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.

What you need to know and be able to do:

• Experience in CRM / CVM / lifecycle / retention marketing from 1-3 years
• Practical experience working with CDP/CRM systems (Mindbox, Bloomreach or analogues)
• The ability to build lifecycle communications and trigger scenarios
• Experience in launching multichannel communications (push, email, SMS, in-app)
• Audience segmentation and personalization skills
• Experience in conducting A/B tests and experiments
• Strong data-driven thinking: the ability to analyze data and make decisions based on it
• Understanding customer journey end-to-end
• The ability to independently form hypotheses and bring them to the result
• Experience working with analytics and interpretation of metrics (retention, conversion, uplift, LTV)