• At least 3 years of experience in Machine Learning / Data Science / Research Engineering.
• Confident ownership:Python,SQL.
  • Python,
  • SQL.
• Strong mathematical base:probability theory, mathematical statistics, linear algebra, optimization methods.
  • probability theory,
  • mathematical statistics,
  • linear algebra,
  • optimization methods.
• Good understanding of:machine learning fundamentals,statistical modeling,experimentation,optimization methods.
  • machine learning fundamentals,
  • statistical modeling,
  • experimentation,
  • optimization methods.
• Practical experience in several ML areas: recommendation/retrieval/ranking systems, forecasting and time series,predictive modeling, experiment and causal inference, deep learning.
  • recommendation/retrieval/ranking systems,
  • forecasting and time series,
  • predictive modeling,
  • experimentation and causal inference,
  • deep learning.
• Experience working with production ML systems:training and deployment of models,inference pipelines,monitoring/evaluation,reproducible experiment workflows.
  • training and deployment of models,
  • inference pipelines,
  • monitoring/evaluation,
  • reproducible experimentation workflows.
• Understanding:offline/online evaluation,model generalization,data leakage,retrieval vs ranking architectures,causal vs predictive modeling.
  • offline/online evaluation,
  • model generalization,
  • data leakage,
  • retrieval vs ranking architectures,
  • causal vs predictive modeling.
• Experience working with modern ML tooling:PyTorch/JAX,MLflow or analogues,orchestration/workflow tools,Docker,Git.
  • PyTorch/JAX,
  • MLflow or analogues,
  • orchestration/workflow tools,
  • Docker,
  • Git.
• The ability to independently conduct research: read and understand papers, compare approaches, design experiments, adapt research solutions to real product tasks.
  • read and understand papers,
  • compare approaches,
  • design experiments,
  • adapt research solutions to meet real-world product challenges.
• That would be a plus:experience in recommendation systems / ranking / pricing / forecasting, experience working in product-oriented ML teams, experience working with high-scale data environments.
  • experience in recommendation systems / ranking / pricing / forecasting,
  • work experience in product-oriented ML teams,
  • experience working with high-scale data environments.

• To hold meetings: diagnosis of Client's pains / tasks, demo, project protection.
• To get acquainted with the Clients' business, analyze data, form hypotheses on how our products can solve the Client's problem, and adapt them to the Client's tasks and characteristics.
• Formulate IT solutions to the Client's tasks, prepare commercial proposals, form the project budget, structure and timing of work, calculate the result from implementation, observing the "price / value“ parity.
• Develop technical specifications based on Customer requests (analysis of data sources: documents and processes of accounting systems, current reports for implementing Customer requirements), monitor development, and support Customer users at the trial stage.
• Record expert videos, create articles

• At least 1 year of experience in Internet marketing;
• Practical experience of setting up and maintaining advertising campaigns in Yandex Direct and Google Ads;
• Understanding key marketing metrics;
• Good written and oral communication skills;
• Knowledge of English at least B2;
• Business communication and negotiation skills;
• Responsibility, independence and result orientation.

It will be an advantage:

• Work experience in B2B sales;
• Work experience in IT companies or with IT products;
• Understanding the API, CRM, and integrations will be a plus.

Requires experience/understanding in working with :

• Configuring and administering Elastics
• K8s
• Zabbix
• Jenkins, GitLab CI/CD
• VPN
• Setting up networks and routes
• 3Proxy, HAProxy
• Linux, Windows
• DBMS Mongo, MySQL, MS SQL
• Configuring Database Backup
• Knowledge and understanding of the basic principles of setting up networks and network routes

• A recent student or graduate of the field of Data Science, Computer Science, IT or related specialties.
• Basic knowledge of Python and libraries for working with data (NumPy, Pandas, Matplotlib).
• Understanding the basics of machine learning and experience working with scikit-learn.
• Basic knowledge of SQL and working with databases.
• Experience working with Jupyter Notebook.
• Understanding the basics of statistics, linear algebra and mathematical analysis.
• Understanding the principles of artificial intelligence and neural networks.
• Skills in using modern AI tools (ChatGPT, Claude, Gemini, etc.).
• Basic knowledge of C++, Java, HTML, CSS, JavaScript will be an advantage.
• The desire to develop in the direction of Data Science, Machine Learning and AI.

Data Engineering & Pipeline Development 

• Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners). 
• Create and optimise data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake, and other modern engineering tools. 
• Develop and maintain specific data repositories, implementing enterprise‑level data models, and creating new models as needed. 
• Enable AI/ML readiness by ensuring data is well‑structured, versioned, traceable, and semantically aligned with enterprise data standards. 

Data Product & Architecture Partnership 

• Partner with data scientists, domain experts, and digital technology teams to translate business needs into high‑quality data products and engineering requirements. 
• Work closely with ontology/knowledge graph teams to implement semantic models and future‑proof data architectures. 

Quality, Compliance & Performance 

• Implement data quality and performance standards; define KPIs to measure accuracy, completeness, and consistency across the data assets. 
• Apply data versioning and lineage tracking for compliance, traceability, and audit readiness. 
• Follow software development best practices including code versioning, DevOps integration, and documentation. 

Cross‑Functional Collaboration 

• Engage with scientific, technical, and operations stakeholders to understand requirements, design data solutions, and drive adoption. 
• Support multiple concurrent projects, managing priorities, and delivering maximum business value across the network. 

What we expect:

• Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred. 
• 3+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment. 
• Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift). 
• Expertise in ETL and DWH.  
• Experience with NoSQL and graph databases. 
• English language proficiency of B2+ 
• Strong analytical, problem‑solving, and stakeholder‑management skills, with the ability to translate discussions into actionable requirements. 
• Ability to drive multiple exciting projects simultaneously with strong organizational skills and adaptability. 

Nice to have:

• Experience with regulated or standards‑driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards. 
• Familiarity with high‑dimensional data (e.g., imaging, sensor data, etc). 
• Experience with principles connecting to or feeding MLOps and model deployment workflows. 
• Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems. 
• Exposure to knowledge graph or ontology‑driven architectures. 

• 3+ years of hands-on development experience specifically with Dynamics 365 F&SCM (AX7) or AX 2012
• Strong proficiency in X++ object-oriented programming and the D365 extensibility framework (no overlayering)
• Solid understanding of core D365 data structures and frameworks (e.g., Ledger, InventDim, Cust/Vend)
• Experience with Microsoft Azure tools related to D365 (Azure SQL, Azure Functions, Blob Storage, Key Vault)
• Proficiency with SQL Server, including optimized queries, views, and data tracking
• English Proficiency: B2+ level or higher (fluent written and spoken). You must be able to confidently participate in technical discussions, document code architecture, and communicate directly with international stakeholders
• Strong problem-solving skills and a proactive "ownership" mindset regarding code quality

Nice to have

• Power Platform: Experience with extensions to D365 using Power Apps, Power Automate, or Dataverse
• Certifications: Relevant Microsoft certifications, such as MB-300 (Core) or MB-500 (Apps Developer)
• Commerce/WMS/TMS: Specialized technical knowledge in advanced modules like Warehouse Management (WMS), Transportation Management (TMS), or Retail/Commerce
• Functional Awareness: A baseline understanding of financial or supply chain business processes, which eases collaboration with functional analysts

• Design the interfaces of the company's mobile and web products.
• Develop custom scenarios, prototypes, and design layouts.
• Develop and maintain the company's design system.
• Accompany design tasks at all stages in YouTrack.
• Prepare layouts for transfer to development and monitor the quality of implementation.
• Participate in the development of product solutions together with the Product Manager, analysts and the development team.
• Conduct UX audits and propose improvements to the user experience.
• Use AI tools to improve the speed and quality of design.

General requirements:

1. Meeting the requirements of Tech Orda:

- citizenship of the Republic of Kazakhstan;

- the age limit from 18 to 45 years;

- never previously received a voucher under the Tech Orda program.

2. Uploaded CV.

3. 2+ years of experience in IT.

4. Technical assessment passed.

5. General interview with our AI assistant completed.

Skills requirements:

1. Knowledge of English B2 (Upper intermediate) or higher.
2. Knowledge of a Modern Programming Language (Java / JS / Python / C#).
3. Understanding of SDLC.
4. Nice to have: Experience with AI/LLMs/AI-assisted tools.

Who are we looking for:

Students of 2-4 courses, graduates or novice specialists;

Sociable and friendly people who enjoy communicating with clients;

Candidates who are responsible and attentive to details;

PC users at a confident level;

Those who want to gain practical work experience in a modern IT company.

What you will get

Practical experience in the IT field;

Learning to work with Bitrix24 CRM;

Business communication experience with clients;

Understanding the business processes of an IT company;

Support and mentoring of experienced employees;

A letter of recommendation based on the results of a successful internship.

The possibility of further cooperation

An internship can be the first step towards building a career in an IT company. If the internship is successful and there are open vacancies, we are ready to consider a candidate for further cooperation.

How to respond:

Send your resume and, if desired, tell us in the cover letter why you are interested in this internship and what skills you would like to receive.

We will be glad to meet you!