Kozak Agency

Duration: 3-6 months

Must Have Skills:

• Senior-level Data Science / ML ownership — 5+ years
• ETL / data pipelines for ML — 3+ years
• Python + production ML / MVP delivery — 4+ years
• Geospatial / positional / logistics-related data - any exp

About the Project
We are looking for a Senior Data Scientist / ML Engineer to support a Berlin-based logistics technology product company on a data science project focused on building a production-ready MVP.
The project is currently in an early research / proof-of-concept stage. Initial validation has shown that the concept is technically feasible, and the next step is to bring it from research into a usable MVP that can be integrated into the existing product infrastructure.
The solution will use positional / location-based data to identify specific locations and generate insights that help drivers and improve operational efficiency.
This is not a fully isolated greenfield project. The work will be connected to existing internal systems, data pipelines, and infrastructure. Therefore, the ideal candidate should be highly autonomous, senior enough to clarify requirements directly with internal stakeholders, and able to take ownership of the solution with limited day-to-day supervision.

Responsibilities

• Own the data science and ML development work from research validation to a usable MVP.
• Build and improve data pipelines and ETL processes that feed the model.
• Work with positional / geospatial / location-based data.
• Develop, validate, and iterate on ML models that identify relevant locations and generate useful outputs for the product.
• Prepare the model and pipelines to run in production on a scheduled basis.
• Work with internal data, product, and engineering teams to understand available data, infrastructure, constraints, and business requirements.
• Translate high-level product and business goals into technical implementation steps.
• Make technical decisions independently while keeping internal stakeholders aligned.
• Document the solution, assumptions, limitations, and handover materials for the internal team.
• Ensure that the MVP can be further scaled, improved, and integrated into the company’s existing product suite.

Required Experience

• 5+ years of experience in Data Science, Machine Learning, or ML Engineering.
• Strong hands-on experience building ML models from concept to production or MVP stage.
• Experience working with ETL processes, data pipelines, data preparation, and model input pipelines.
• Strong Python experience and common data science / ML libraries.
• Experience working with large datasets and imperfect real-world data.
• Ability to work with positional, geospatial, mobility, logistics, or location-based data.
• Experience deploying or preparing ML models for production usage.
• Strong understanding of model evaluation, iteration, and practical trade-offs between accuracy, speed, and business value.
• Ability to work independently with limited day-to-day guidance.
• Strong ownership mindset: ability to clarify requirements, identify blockers, communicate with stakeholders, and drive the work forward.

Nice to Have

• Experience in logistics, transportation, mobility, route optimization, delivery, or fleet-related products.
• Experience with cloud data infrastructure such as AWS, GCP, or similar.
• Experience with scheduled production pipelines, batch processing, or workflow orchestration tools.
• Experience handing over ML solutions to internal engineering or data teams.
• Previous experience in startup or product-company environments.

Start: asap
Duration: long-term
Location: any
English: B2

Summary
We are looking for a senior GCP Data Engineer / Data Architect to lead and execute an on-premise GCP data migration project.

This is a hands-on data-focused role, not a classic DevOps/Kubernetes role.

Main responsibilities:
* Lead and implement the migration of data workloads from on-premise infrastructure to GCP
* Design and build GCP data lake / lakehouse architecture
* Work hands-on with GCP data services such as BigQuery, Dataproc, Cloud Storage, Spark, and related tools
* Design and implement scalable data pipelines and data processing flows
* Handle data ingestion, storage, security, reliability, and cost optimization
* Work independently with the existing technical team and drive technical decisions

Required experience:
* Strong hands-on GCP data engineering experience
* BigQuery, Dataproc, Spark, and Cloud Storage
* Data lake / lakehouse architecture
* On-premise to cloud migration experience
* Ability to lead technical decisions and work independently

Nice to have:
* Terraform / Infrastructure as Code
* Dataflow, Pub/Sub, Cloud Composer / Airflow
* GCP IAM, networking, monitoring, and security

Full-time availability is preferred.
Please apply only if you have real hands-on experience with GCP data platforms and data migration projects.

Candidates must have proven, real-world practical experience in this specific niche. This is not a position where the candidate can learn on the job or prepare theoretically before the interview.


Project Overview
We are looking for an expert Windows System Engineer with a strong background in embedded and industrial computing. The core mission is to configure, harden, and customize Windows for a dedicated kiosk-mode industrial product. The engineer will prepare a locked-down Windows environment running a Unity-based application, manage custom DLLs, and orchestrate Python-based services deployed on an industrial-grade single-board computer (SBC).

Core Responsibilities

• Handle the full OS-level configuration pipeline from a clean Windows image to a production-ready, field-deployable system.
• Provide initial setup/implementation and ongoing support afterward.
• Configure Windows in kiosk or Shell Launcher mode to automatically boot a Unity application as the sole interactive shell (zero user access to desktop, taskbar, or UI).
• Manage registration, versioning, and the dependency chain of custom DLLs to ensure correct loading order and update compatibility.
• Setup Python-based background services (using NSSM or pywin32) handling auto-start, watchdog recovery, logging, and IPC with the Unity app.
• Tune the system for specific hardware constraints and drivers of industrial boards (GPIO, serial peripherals, BIOS/UEFI, thermal management).
• Deliver a fully documented, reproducible Windows image ready for volume deployment.
  
   

Required Skills & Experience (Must-Haves)

• OS: Windows 10 IoT Enterprise or Windows 11 IoT Enterprise.
• Lockdown & Kiosk: Shell Launcher v2, Assigned Access, Unified Write Filter (UWF), Group Policy–based lockdown.
• Windows Internals: Registry, services architecture, WMI, COM/DCOM, DLL side-by-side loading.
• Scripting & Automation: Strong PowerShell scripting, DISM, WinPE, answer files (unattend.xml) for automated provisioning.
• Python on Windows: Python service deployment (pywin32, virtualenv packaging, dependency isolation).
• Hardware: Hands-on experience with industrial SBCs or embedded x86 boards (Advantech, Kontron, Beckhoff, or similar).
• Unity Integration: Understanding of Unity runtime requirements on Windows (DirectX dependencies, display/resolution management, crash recovery).
   

Nice to Have

• Windows Autopilot or MDM-based provisioning for fleet deployment.
• CI/CD pipelines for OS image building and validation.
• Exposure to real-time or deterministic scheduling constraints on Windows.
• Hardware security configuration (Secure Boot, BitLocker, TPM).

CV Formatting & Submission Requirements !!!
The client expects to clearly see relevant project experience corresponding to their stack. Do not submit generic CVs. The CV must be heavily tailored and explicitly highlight hands-on experience with the following:
 

• Windows System Engineering (Setup, implementation, ongoing support)
• Embedded/industrial computing configuration and Windows hardening
• Kiosk-mode industrial products
• Windows 10/11 IoT Enterprise
• Shell Launcher v2, Assigned Access, UWF, Group Policy
• Windows internals, registry, services, WMI, COM/DCOM, DLLs
• PowerShell scripting and Python service deployment (pywin32, virtualenv)
• Unity runtime on Windows and DirectX dependencies
• Validating images on SBCs / embedded x86 boards (Advantech, Kontron, Beckhoff)
• DISM, WinPE, unattend.xml
• Building a fully documented, reproducible locked-down Windows image

test task +1 tech interview + final cultural fit interview

"AQA - 5+ years (expert-level proficiency in JavaScript as the primary scripting language; working knowledge of Python or Java is a strong plus.)
deep, hands-on expertise with WebdriverIO (WDIO) as the primary automation framework. Experience with additional frameworks such as Cypress, Appium, Playwright, or similar is highly valued
proficiency with API testing tools such as Postman, REST Assured, or similar"

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
• 6+ years of professional experience in software quality assurance, with a strong focus on test automation.
• Expert-level proficiency in JavaScript as the primary scripting language; working knowledge of Python or Java is a strong plus.
• Deep, hands-on expertise with WebdriverIO (WDIO) as the primary automation framework. Experience with additional frameworks such as Cypress, Appium, Playwright, or similar is highly valued.
• Hands-on experience leveraging AI-powered testing tools and AI-assisted development tools to accelerate test creation, maintenance, and defect detection.
• Solid understanding of software testing methodologies across functional, regression, integration, performance, API, and end-to-end testing.
• Proficiency with API testing tools such as Postman, REST Assured, or similar.
• Experience integrating automated tests into CI/CD pipelines.
• Strong working knowledge of version control systems (Git).
• Excellent command of the English language, speaking, listening, reading, and writing, as this is an international company and English is the primary language of communication and documentation.

Preferred Qualifications

• Experience with performance and load testing tools (Locust, JMeter, k6, Gatling).
• Familiarity with containerization and cloud platforms (Docker, Kubernetes, AWS, Azure, or GCP).
• Experience testing AI/ML-based applications, including model output validation and prompt-based testing strategies.
• ISTQB or equivalent QA certification.

Nice to Have

• Familiarity with security testing fundamentals, including common vulnerabilities (e.g., OWASP Top 10), authentication/authorization testing, and secure API testing practices.
• Hands-on experience with web proxy and security testing tools such as Burp Suite, OWASP ZAP, Charles Proxy, or Fiddler for traffic inspection, request manipulation, and vulnerability discovery.

Core Competencies

• Excellent analytical and problem-solving skills with strong attention to detail.
• Proven ability to mentor junior engineers and drive quality standards across teams.
• Strong written and verbal communication skills in English, with the ability to clearly document test strategies, results, and defects, and to collaborate effectively with cross-functional, distributed teams.
• Ownership mindset and the ability to operate independently in a fast-paced, international environment.

Workload: full-time, remote
Start: asap
Duration: long-term cooperation
Location: any
English: B2
Interview: 2 rounds (quick general&technical interview + tech interview with the main client)

We’re looking for a Senior React Developer (7+ years) with some Java skills to join a product team building a multi-app system centered around an operator console - a real-time interface for controlling and managing robotic machinery.

Requirements
The team: 4 backend engineers. You’ll be the frontend lead, owning the React layer with occasional Java touchpoints.

What we’re looking for:

• 7-8+ years of experience, React as your primary stack
• State management: Redux, Zustand, or Context API
• Java familiarity is a strong plus (full-stack capacity welcome)
• Strong English communication

We are looking for a Scala Engineer to join a growing engineering team working on modern backend systems and scalable applications.
 

Location

• Candidates must be based in Spain or Portugal
   

Requirements

• Strong commercial experience with Scala
• Experience building and maintaining backend services and APIs
• Solid understanding of software design principles and distributed systems
• Experience working with databases and data-intensive applications
• Familiarity with cloud environments and modern development practices
• Experience with version control systems (Git)
• Good communication skills and ability to work in a collaborative environment
• English level: Intermediate+ or higher
   

Nice to Have

• Experience with microservices architecture
• Knowledge of Akka, Play Framework, Cats, ZIO, or similar Scala ecosystem tools
• Experience with AWS, GCP, or Azure
• CI/CD experience
   

Responsibilities

• Design, develop, and maintain scalable backend services
• Participate in architecture and technical discussions
• Write clean, maintainable, and well-tested code
• Collaborate closely with product and engineering teams
• Contribute to performance optimization and system reliability
   

📍 Location restriction: Spain or Portugal only.

Workload: full-time, fully remote
Start: asap, but can be discussed
Duration: long-term cooperation
Location: any
English: Strong proficiency in English (Upper-intermediate level or Advanced)!

Details:
- CRITICAL: AI-first delivery: proven, demonstrable experience using Claude Code or similar agentic AI tools is a hard must (specific examples expected on the application).
- Senior Golang Developer, 5+ years of experience; can potentially consider really strong candidates with 4 years of experience
- Hands-on engineering position
- Not a people-management role
- CRITICAL: Lead part: Demonstrable experience of leading delivery within a team: coordinating, breaking work down, representing the team in planning and stakeholder conversations, facilitating outcomes. Someone who has been the de facto tech lead in a squad for several years without ever holding the formal title is absolutely fine too.
- CRITICAL: Strong proficiency in English (Upper-intermediate level or Advanced)

Role description:
We are looking for a highly capable Lead AI-First Golang Engineer to join a project where you’ll build an AI tourism platform. This is not a traditional coding role. We don’t need coders; we need engineers who build features end-to-end using AI coding tools. You’ll use Claude Code and other AI tools to 10x your output, always thinking about how the product or feature you are working on benefits the user. Also, we have no QA team — you OWN the quality of what you ship!

Regarding Lead responsibilities:
● This is not a people-management role: no one-to-ones, no performance reviews, no coaching responsibilities.
● Every engineer involved in the project already owns their work end-to-end (IC + DRI), so this role is not about “more ownership”.
● A Lead is the spokesperson, coordinator, and facilitator for their pod, internally with product, design, and leadership, and externally with clients. You think product-first, contribute meaningfully in product planning sessions, and represent your pod in those rooms.
● You remain a hands-on backend engineer. The spokesperson, coordination, and facilitation work sits on top of your IC contributions, not instead of them. Expect the majority of your week to still be engineering.

What you’ll actually do:
● Own features end-to-end: from specs to deployment to fixing bugs
● Use Claude Code to generate Golang backend code
● Review AI output for quality and architectural fit
● Fix bugs to learn our codebase, then rapidly build new features
● Make quick decisions on what to build vs buy vs generate with AI
● Talk to customers when they report issues, and ship fixes the same day

Additionally, at the Lead level:
● Be the spokesperson for your pod, internally with PMs, designers, and leadership, and externally with clients and partners
● Coordinate work across the pod: break initiatives into chunks, sequence them, surface blockers, and facilitate hand-offs
● Represent your pod in product planning sessions and bring a strong product-driven point of view to scoping and trade-offs
● Join client meetings when needed to gather context, align on requirements, and report on delivery

Products you will build:
● Platform: data- and AI-focused features, internal tooling, agentic systems
● Integrations: API connections to supplier and business client platforms, data ingestion pipelines, LLM providers

Our stack:
● Backend: Go monorepo (no framework, 3+ services)
● Hosting: PaaS-managed containers, local setup fully mirrors production via Docker Compose
● Tools: Jaeger tracing, Betterstack (Logging, Alerting), Redis Async queue
● Databases: PostgreSQL, Redis
● AI tooling: Claude Code (mandatory)

You are a great fit if you:
● You think in features and architecture, and not in single lines of code
● Get frustrated when development takes weeks instead of days

• Industry: Retail / International promotion planning
• Location: E.U Countries (no restriction for citizenship)
• Start: ASAP
• Workload: 4–5 days per week (approx. 320 person-days per year)
• Language: English B2

Long term period. Duration: expected until 2027/2028, with option for extension.

Key Responsibilities

• Continuous maintenance, operation, and further development of the application and related middleware
• Analysis and understanding of existing codebase and system structures
• Development of new functionalities, including import/export features
• Design and implementation of solution approaches and new requirements within the existing system
• Identification, analysis, and resolution of complex technical issues
   

Must-Have Skills

• Backend: ASP.NET Core MVC
• Frontend: JavaScript, jQuery, AJAX, API integrations
• Interface: REST API development
• Database: PostgreSQL, SQL optimization
• DevOps & Infrastructure: IIS hosting and deployment, Production deployment management, Windows Server administration, Performance optimization and production troubleshooting
• Enterprise web application development
• Experience in business management applications
• Maintenance and enhancement of legacy systems
• Integration within Atlassian-based environments (middleware/interfaces)
• Agile methodologies (Scrum, Kanban)
• Analytical and structured thinking

Industry: Energy / Commodity Trading
Location: Offshore / Remote
Start: ASAP / to be agreed
Workload: Full-time preferred
Language: English

The project focuses on building, maintaining, and optimizing scalable data pipelines, analytics tools, and automation solutions for high-impact commercial analytics across gas, LNG, power, and weather markets.
The client is expanding its analytics platform by integrating external data sources such as ENTSOE, EPEX, KPLER, MetDesk, WoodMac, and other market data providers. The goal is to structure and prepare data for advanced analytics, forecasting models, dashboards, and real-time or batch use cases in a dynamic trading environment.

Key Responsibilities

• Build and enhance scalable data pipelines and automation workflows on Azure
• Integrate external data sources via APIs, web scraping, and automation frameworks
• Develop end-to-end automated data solutions for gas, LNG, power, and weather markets
• Maintain and optimize existing databases, dashboards, toolkits, and API-based solutions
• Design and manage Snowflake data models with a focus on performance and scalability
• Support analytics teams by structuring data for models and advanced analytics use cases
• Enable reliable backend infrastructure for dashboards and GUI tools
• Consult and support real-time and batch analytics use cases in a trading environment
• Improve data quality, performance, and automation across the analytics platform

Must-Have Skills

• Strong hands-on experience with Azure Data Factory
• Strong experience with Databricks
• Experience with Azure Data Lake
• Strong knowledge of Snowflake, including data modeling and performance tuning
• Proficiency in Python
• Proficiency in SQL
• Experience with API integration
• Experience with automation workflows
• Experience building scalable data pipelines for large-scale data ingestion and processing

Nice-to-Have Skills

• Experience with web scraping
• Knowledge of real-time / event-driven data processing
• Experience in energy, commodity trading, gas, LNG, power, or weather analytics
• Experience working with external market data providers such as ENTSOE, EPEX, KPLER, MetDesk, or WoodMac
• Experience supporting analytics dashboards or GUI tools

Project details:
Start: flexible / to be agreed
Duration: initial 3 months with a very high chance of long-term extension
Workload: full-time preferred, 3 days per week also possible
Remote: primarily remote
Onsite: approx. 4 times per year for a few days within the EU
Location: candidate must be based in the EU
Language: English

The specialist will support the development and operation of an analytical platform across the full software development lifecycle, including cloud infrastructure, automation, CI/CD pipelines, security, deployment, migration, and operational support.

Responsibilities:

• Design, develop, test, secure, and operate Azure platform components
• Build and maintain Azure DevOps CI/CD pipelines
• Create reusable YAML pipeline templates, approvals, and environments
• Develop Infrastructure as Code solutions with Terraform
• Automate infrastructure and deployment processes with PowerShell
• Implement security-by-design principles and compliance requirements
• Troubleshoot pipelines, networking, identity, and service configurations
• Support go-live and migration activities
• Create technical documentation and transfer knowledge to operations/support teams

Must-have skills:

• Strong experience with Azure Cloud platforms
• Strong expertise in Terraform
• Strong expertise in PowerShell
• Experience with Azure DevOps pipelines
• Good knowledge of YAML pipelines, reusable templates, approvals, and environments
• Experience with Git-based workflows, branching strategies, code reviews, artifact and version management
• Experience working in regulated environments
• Strong understanding of security, compliance, and secure cloud configurations

Azure services experience:

• Azure Databricks
• Azure Data Lake Storage
• Azure Data Factory
• Azure Web Apps for Containers
• Azure AI Search
• Cosmos DB
• Azure Key Vault
• Azure Networking: VNets, hub-and-spoke, private endpoints, NSGs
• Microsoft Entra ID: managed identities, service principals, app registrations, RBAC
• Azure Policy and secrets management

Nice to have:

• Experience with observability tools such as Azure Monitor, Log Analytics, and Application Insights
• Experience with AI-assisted coding tools such as GitHub Copilot

We are currently looking for experienced 6x Senior Kubernetes Platform Engineers to join a strategic SAP-related transformation project focused on large-scale platform orchestration and multi-cluster ecosystem integration. 

 

• Number of Positions: 6
• Start Date: 01 July 2026
• Location: Remote
• Preferred Base Location: Germany, Poland, or Nearshore Europe
• Language Requirement: English (Mandatory)

This is an exciting opportunity to work on complex cloud-native environments involving Kubernetes and non-Kubernetes platforms within an enterprise-grade infrastructure landscape.

Project Scope
The role is part of a joint SAP initiative focused on:

• Platform orchestration
• Multi-cluster management
• Integration between Kubernetes and non-Kubernetes platforms (Cloud Foundry, LSS)
• Workflow orchestration and lifecycle automation across distributed systems

Required Skills & Experience

• 8+ years of overall IT experience
• Advanced expertise in Kubernetes (platform engineering level, beyond standard deployments)
• Strong backend engineering and programming skills
• SAP BTP / Gardener / MCP
• Experience with APIs, integrations, and system logic

Experience with:

• Platform orchestration layers / platform mesh
• Pipeline orchestration (beyond pipeline usage)
• Hands-on experience with:
• Multi-system / multi-cluster environments
• Orchestration and lifecycle management
• System integration between Kubernetes and external platforms

Solid understanding of:

• Distributed systems
• State synchronization
• Workflow orchestration

Nice to Have

• Cloud Foundry
• LSS / Concourse

We’re preferably looking for someone based in Asia, or someone who has already relocated there from Europe.

We’re also open to candidates in Europe who are comfortable working night shifts due to the timezone overlap requirements with the client in Australia.

Right now we need someone ASAP for a full-time 2-week discovery phase. The key requirement is an early start and at least partial overlap with the client’s working hours.

After the discovery phase, the plan is to continue with a long-term full-time engagement, ideally with the same engineer staying on the project. However, the long-term setup will require working mostly within the Australian timezone (~1–2 AM to 11–12 PM Kyiv time).

So we’re looking either for someone who is comfortable with a night schedule, or for a candidate located in a more suitable timezone (Thailand, Bali, etc.).

Must have

Python - 5+ years

Django and Django Ninja - 5+ years

AWS - 3+ years (last projects)

Client is from Australia - early start required for overlap with the team
Starting from 7:00 AM Kyiv time (the more overlap, the better)
English level B2 and higher (communication with native speakers)
Start date: June 1

Australian client with an existing web platform focused on memberships, payments, and administration workflows. The platform is already live and built with Python/Django on AWS.

The project includes ongoing platform development, stabilization, and gradual migration from a legacy system into the modern architecture. Looking for a Python Engineer to support discovery, improvements, integrations, and migration-related initiatives.

Main stack:
• Python
• Django
• AWS
• SQL

Responsibilities:
• support and improve existing platform
• participate in discovery/migration activities
• work with integrations and legacy business logic
• contribute to platform stability and technical improvements



 

The company helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

Requirements:

• Data engineering - 5 years
• AWS - 3 years (1 year latest project)
• Spark/PySpark - 2 years (1 year latest project)

Ability to work in high load environments, we're looking for autonomous and proactive candidates

📍 Віддалено
🕐 Full-time
📅 Long-term project
 

Шукаємо Machine Learning Engineer для роботи над інноваційним проєктом у сфері 3D-реконструкції та комп'ютерного зору.

Проєкт пов'язаний зі створенням та вдосконаленням ML-рішень для трансформації 2D-даних у високоякісні 3D-моделі. Ми шукаємо спеціаліста, який має практичний досвід саме у сфері 3D reconstruction та добре розуміє специфіку роботи з геометрією, топологією та нейронними мережами для таких задач.
 

Обов'язкові вимоги:

✔️ Від 4 років комерційного досвіду в Machine Learning / Artificial Intelligence

✔️ Практичний досвід із 3D-реконструкцією (критично важливо):

• Mesh generation та optimization
• UV Mapping
• Vertex Topology
• Робота з 3D-моделями та геометрією

✔️ Досвід побудови Deep Learning рішень для задач 2D → 3D трансформації

✔️ Впевнені знання Computer Vision:

• OpenCV або аналогічні бібліотеки
• Обробка та аналіз зображень
   

✔️ Сильний досвід роботи з:

• Python
• PyTorch та/або TensorFlow
   

Буде перевагою:

➕ Досвід роботи з великими наборами візуальних даних

➕ Розуміння сучасних підходів у Computer Vision та 3D Geometry Processing

➕ Досвід оптимізації ML-моделей для production-середовища
 

Важливо:

❗ Ми розглядаємо кандидатів лише з реальним практичним досвідом у 3D-реконструкції. Досвід виключно з генеративним AI або дифузійними моделями без роботи з 3D-пайплайнами не буде достатнім для цієї ролі.