Upstaff

Summary

• Senior AI/ML Engineer with extensive experience deploying machine learning models on cloud platforms including GCP, AWS, and Azure.
• Experienced in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• CI/CD pipelines and managing ML workflows: Kubeflow and VertexAI.
• Background in data processing with Apache Beam/Dataflow and expertise in model monitoring, performance optimization, and scaling.
• Ability to collaborate cross-functionally to deliver AI-driven solutions in production environments.

Location: Poland, Romania, Bulgaria, Czech Republic, Slovakia.

• Location: Poland - B2B Only
• Romania - COE or B2B,
• Bulgaria: COE / B2B,
• Czech Republic - CEO
• Slovakia - COE

Role Overview:

The Senior Artificial Intelligence/Machine Learning Engineer is a key member of the MLOps team within a cross-functional development environment. This role involves close collaboration with data scientists, software engineers, and other stakeholders to operationalize machine learning models by deploying, maintaining, and monitoring them efficiently in production. The engineer contributes to enhancing model performance and infrastructure, supporting AI-driven solutions that address complex business challenges.

Responsibilities:

• Model Deployment: Collaborate with data scientists to transition machine learning models from development to production, ensuring high performance and scalability.
• Build Pipelines: Develop and maintain data and model pipelines that integrate seamlessly with existing systems to support reliable and efficient workflows.
• CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment process of machine learning models.
• Model Monitoring: Monitor the performance of deployed machine learning models to ensure reliability, scalability, and quality over time.
• Collaboration: Work with cross-functional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering.
• Optimization: Continuously improve infrastructure to maintain cutting-edge AI model production and delivery capabilities.

Technologies and Tools:

• Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
• CI/CD tools: GitHub Actions, Docker
• ML platforms/frameworks: VertexAI (Enterprise Agent Platform), Kubeflow, SageMaker
• Data processing frameworks: Apache Beam, Dataflow (highly desirable)
• Programming languages and libraries: Python, TensorFlow, PyTorch, scikit-learn

Key Skills and Competencies:

• Strong foundation in both machine learning and software engineering
• Experience deploying machine learning models in production environments
• Expertise in building and maintaining CI/CD pipelines for ML
• Knowledge of monitoring and maintaining models post-deployment
• Problem-solving and troubleshooting skills related to models and pipelines
• Performance and cost optimization experience (e.g., latency, throughput) is highly desirable
• Excellent communication skills for effective cross-team collaboration

Technologies: Cloud platforms (GCP, AWS, Azure), VertexAI, Kubeflow, SageMaker, Python, TensorFlow, PyTorch, scikit-learn, Apache Beam, Dataflow, Docker, CI/CD, GitHub Actions.

Our client is a proven Nordic alarm and event handling software company specializing in Personal Care, Personal Security, and IoT. We are looking for a skilled Full-stack Developer passionate about building reliable, scalable software solutions. If you enjoy working with modern technologies, solving complex integration challenges, and taking ownership of your work, this role is for you!
In this role, you will collaborate directly with the development team on the client’s side, actively participating in all phases of the software development lifecycle.

What you’ll do in this role

• Develop and maintain full-stack applications using C#/.NET and React
• Design and implement scalable cloud-native solutions on AWS
• Build new features and improve existing functionality across the platform
• Collaborate with product managers, designers, and engineers in an agile environment
• Optimize application performance, reliability, and security
• Write clean, maintainable, and well-tested code
• Contribute to architecture discussions and technical decisions
• Explore and leverage AI-assisted development tools to improve engineering productivity

We’re looking for

• 4+ years of commercial experience with C#/.NET
• Hands-on experience with React
• Experience working with AWS and cloud-based applications
• Solid knowledge of SQL and relational databases
• Experience designing and consuming REST APIs
• Understanding of modern software engineering practices and Agile development
• Upper-Intermediate or higher English level

Are you passionate about building robust full-stack solutions and ensuring top-notch quality through automation? Join a team where quality, ownership, and modern engineering practices are at the core of everything you do.
Our client is a genomics company focused on interpreting genetic diseases. They are building a next-generation genomics intelligence platform powered by advanced AI technologies, designed to streamline the interpretation process and improve how evidence is presented. This enables healthcare providers to deliver more accurate, personalized care and achieve significantly better outcomes for patients.
By joining the team, you’ll contribute to a product where quality, testing, and precision are essential — and where your engineering decisions have real impact.

What you’ll do in this role

• Own full-stack feature development across backend, frontend, and services.
• Build and maintain automation solutions to ensure high-quality software delivery.
• Collaborate closely with developers, QA, and product managers in a cross-functional scrum team.
• Ensure software meets both customer expectations and quality standards.
• Drive best practices in testing, automation, and continuous delivery.
• Maintain and improve CI/CD pipelines and deployment processes.

• Take end-to-end ownership of solutions with a strong focus on quality and reliability.

   

We’re looking for

• 5+ years of professional experience in software development.
• Strong full-stack background with a focus on automation.
• At least 3 years of hands-on experience with Python (must-have)
• Experience with modern frontend frameworks such as Vue or Angular (must-have)
• Solid understanding of automation infrastructure (e.g., Playwright or similar + pytest)
• Experience with GitHub and version control workflows.
• Understanding of CI/CD pipelines and DevOps principles.
• Experience with cloud platforms (AWS is a plus, but can be learned)
• Strong communication skills and ability to collaborate in a scrum team.
• Upper-Intermediate English level skills.

Про компанію

• Платформа ШІ-агентів дозволяє компаніям розгортати індивідуальні рішення на основі штучного інтелекту (такі як автоматизація документообігу, операційна аналітика та агенти штучного інтелекту) за лічені дні, а не місяці. 

Вимоги до кандидата:

• Освіта та фундаментальні знання: вища освіта в галузі Computer Science (бакалавр або магістр) з акцентом на алгоритми, структури даних та дискретну математику. Обов'язкове глибоке розуміння основ: асимптотичний аналіз (Big O, Theta, Omega), динамічне програмування, графи (BFS/DFS, найкоротші шляхи), дерева (бінарні, AVL, B-дерева), хеш-таблиці, черги, стеки та купи. Кандидати без формальної CS-освіти не розглядаються.
• Інженерний майндсет: Доведений досвід у розв'язуванні складних проблем з фокусом на ефективність, масштабованість та оптимальність. Ми очікуємо, що ви можете пояснити, чому вибрали певну структуру даних для задачі (наприклад, чому Trie краще за хеш-мапу для автодоповнення) та проаналізувати trade-offs (час vs. простір).

• Практичний досвід: Мінімум 2-3 роки в розробці, де ви застосовували CS-концепції на практиці (наприклад, оптимізація алгоритмів у production-коді). Знання мов програмування (JS, C++, Java, Python) на рівні, достатньому для competitive programming.

   

Бонуси (значно підвищують шанси):

• Призові місця на олімпіадах з програмування (IOI, ICPC, Google Code Jam, Facebook Hacker Cup) або регіональних змаганнях.
• Високий рейтинг на платформах: LeetCode (Knight+ або 2000+ rating), HackerRank (Gold+), Codeforces (Expert+ або 1900+ rating). Надсилайте посилання на профіль у резюме – ми перевіримо.
• Участь у хакатонах з фокусом на алгоритмічні задачі (наприклад, перемоги на HackMIT, AngelHack).

Важливо: Ми шукаємо тільки тих, хто має солідний теоретичний бекграунд і може довести його на технічному інтерв'ю (live coding з задачами на алгоритми). Якщо ви самоучка без формальної освіти чи досягнень у competitive programming, ця вакансія не для вас – ми не розглядаємо резюме без підтвердження CS-фундаменту. Подання: надішліть CV з прикладами розв'язаних задач (посилання на GitHub або LeetCode).

Над чим ви працюватимете

• Впровадження та налаштування розгортання платформи для корпоративних клієнтів на базі стеку JavaScript/TypeScript (Express, Vue.js), баз даних PostgreSQL. 
• Створення інтеграцій між платформою та клієнтськими системами
• Співпраця з внутрішніми командами для розуміння вимог клієнтів та їх перетворення на технічні рішення
• Внесок у розробку інструментів впровадження, документації та повторюваних процесів розгортання
• Виправлення неполадок та вирішення проблем під час та після розгортання
• Періодична участь у дзвінках клієнтам для збору вимог або надання технічних рекомендацій

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About the Company

• Enterprise AI development platform that emerged from a hidden activity in 2025 thanks to $50+ million in funding.
• Main purpose: The platform allows companies to deploy customized AI solutions (such as document automation, operational analytics, and AI agents) in days, not months.
• Enterprise segment and deep integrations with enterprise business processes.
• Key features: The platform is model-agnostic, meaning users can use their own AI models, and it guarantees data privacy without training third-party models on customer data.

Candidate requirements:

• Education and fundamental knowledge: Higher education in Computer Science (Bachelor's or Master's) with a focus on algorithms, data structures, and discrete mathematics. A deep understanding of the fundamentals is required: asymptotic analysis (Big O, Theta, Omega), dynamic programming, graphs (BFS/DFS, shortest paths), trees (binary, AVL, B-trees), hash tables, queues, stacks and heaps. Candidates without a formal CS education will not be considered.
• Engineering mindset: Proven experience in solving complex problems with a focus on efficiency, scalability and optimality. We expect you to be able to explain why you chose a particular data structure for a problem (e.g. why a Trie is better than a hash map for autocompletion) and analyze trade-offs (time vs. space).

• Practical experience: Minimum 2-3 years in development, where you applied CS concepts in practice (e.g. optimization of algorithms in production code). Knowledge of programming languages ​​(JS, C++, Java, Python) at a level sufficient for competitive programming.

   

Bonuses (significantly increase your chances):

• Prize-winning places at programming olympiads (IOI, ICPC, Google Code Jam, Facebook Hacker Cup) or regional competitions.
• High rating on platforms: LeetCode (Knight+ or 2000+ rating), HackerRank (Gold+), Codeforces (Expert+ or 1900+ rating). Send a link to your profile in your resume - we will check it.
• Participation in hackathons with a focus on algorithmic problems (for example, victories at HackMIT, AngelHack).
• Important: We are only looking for those who have a solid theoretical background and can prove it at a technical interview (live coding with algorithmic problems). If you are a self-taught person without formal education or achievements in competitive programming, this vacancy is not for you - we do not consider resumes without confirmation of CS-foundation. Submission: send a CV with examples of solved problems (link to GitHub or LeetCode).

What you will be working on

• Implement and configure the deployment of a platform for enterprise customers based on a JavaScript/TypeScript stack (Express, Vue.js), PostgreSQL databases.
• Create integrations between the platform and customer systems
• Collaborate with internal teams to understand customer requirements and translate them into technical solutions
• Contribute to the development of implementation tools, documentation, and repeatable deployment processes
• Troubleshoot and resolve issues during and after deployment
• Periodic participation in customer calls to collect requirements or provide technical recommendations

Summary

• Engineer specializing in data migration and engineering with extensive experience in SAP BW architecture, data modeling, and business logic transformation.
• Experienced in designing and developing scalable data pipelines using Databricks and AWS cloud platforms.
• Skilled in leveraging LLM-based tools for automated code conversion and migration, ensuring data integrity and consistency.
• Demonstrated success in large-scale enterprise projects, particularly within finance domains, with collaboration across business and technical teams.

Job DescriptionRole Overview

The Data Engineer with SAP BW is responsible for reviewing and migrating existing SAP BW architectures, data models, and business logic to a modern data platform using Databricks. This role requires strong expertise in data engineering, data modeling, and cloud technologies, with a focus on ensuring data accuracy, integrity, and consistency throughout the migration process by utilizing automated and LLM-based code conversion tools to enhance efficiency. The engineer will collaborate closely with both business and technical teams to validate the migrated datasets and transformations, supporting the overall solution architecture and migration strategy.

Responsibilities

• Review current SAP BW architecture, data models, and business logic to determine the scope of the migration.
• Design and develop target data models and data pipelines within Databricks.
• Transfer and transform data and business logic from SAP BW to Databricks while maintaining data accuracy, integrity, and consistency.
• Support the overall solution architecture and migration strategy, including leveraging automated or LLM-based code conversion tools where appropriate.
• Work closely with business and technical teams to validate migrated datasets, transformations, and business logic.

Skills and Qualifications

• Strong hands-on experience with Databricks.
• Proven track record in delivering data migration projects, preferably in large-scale or enterprise environments.
• Practical experience with SAP BW, including understanding of its data structures, models, and business logic.
• Solid background in data modeling, business intelligence, and data engineering.
• Strong experience with AWS or similar cloud platforms.
• Experience using LLM-based tools for code translation, transformation, or migration activities.
• Strong English communication skills.

Additional Desirable Experience

• Previous experience in the finance domain.
• Experience working within large enterprise organizations.

Technologies and Tools: SAP BW, Databricks, AWS (or similar cloud platform), LLM-based tools for code translation and migration, data modeling and BI tools.

Summary

• Engineer with 6+ years in software engineering and solutions architecture, specializing in AI-native internal tools and cloud infrastructure.
• Expertise in AWS and Azure, Infrastructure-as-Code (OpenTofu, Terramate, Ansible), and SDN micro-segmentation for secure agentic AI platforms.
• Skilled in low-code/no-code prototyping, AI workflow automation, and build-versus-buy assessments.
• Background in B2B SaaS, compliance environments, and cross-functional stakeholder management.
• Location: US, Canada, LATAM.
• Working hours: Must overlap heavily with the US Eastern Time Zone (EST).

Role Overview:

The company is expanding its use of AI across internal business and technology functions. This role focuses on designing AI-enabled cloud infrastructure, establishing appropriate governance and security controls, and integrating AI capabilities into practical business workflows. Reporting to the AI Transformation leadership, the position combines cloud architecture, DevSecOps, AI platforms, and internal consulting to support the development and adoption of AI solutions across the organization.

Key Responsibilities:

• Architect and build cloud infrastructure supporting agentic AI platforms, primarily on AWS with Azure as secondary, including account structure and environment design.
• Implement SDN micro-segmentation and controls to contain or isolate rogue agent behavior.
• Develop centralized policy and control planes for governing agent access and actions.
• Utilize Infrastructure-as-Code tools such as OpenTofu/Terramate, Ansible, and GitHub Actions to automate and manage infrastructure.
• Partner with business and technology leaders across multiple functions to identify high-impact AI integration opportunities in real workflows.
• Facilitate discovery processes by mapping current-state workflows, quantifying pain points, defining desired outcomes, and translating ambiguous needs into clear requirements and success metrics.
• Build and maintain an AI workflow roadmap prioritized by business impact, readiness, and change capacity, aligning with function leaders and the AI Transformation team.
• Conduct build-versus-buy assessments for AI opportunities, delivering recommendations and implementation approaches.
• Lead change management and enablement activities including workshops, playbooks, training sessions, and coaching to support AI literacy and adoption.
• Create reusable patterns and standards for AI integration in internal tools, including workflow templates, governance checklists, and measurement frameworks.
• Establish operational guardrails for AI-enabled workflows in collaboration with Security, Legal, and Compliance teams, focusing on data handling, PII safety, access controls, prompt injection resilience, and human-in-the-loop requirements.
• Define evaluation and monitoring criteria for AI workflows covering accuracy, safety, cost, latency, and adoption, and implement feedback loops for continuous improvement.

Required Skills and Qualifications:

• The role requires over 6 years of experience in internal consulting, business operations, product operations, or solutions architecture at the intersection of business and technology.
• Candidates must have at least 4 years of software engineering experience shipping AI-enabled internal tools to production and experience contributing to or establishing internal AI initiatives.
• Experience in B2B SaaS, enterprise workflows, and regulated environments is essential.
• Strong stakeholder management, AI fluency, analytical skills, and excellent communication abilities are critical.
• A Bachelor’s degree in Business, Information Systems, Engineering, Computer Science, or equivalent practical experience is required.

About the Project

AI Interview Platform (client name undisclosed) — a leading technical interviewing platform used by fast-growing startups and large enterprises worldwide. It pairs experienced engineers with standardized interview frameworks to enable fair, high-signal, and scalable hiring for software engineers globally.

What You'll Do

• Conduct live technical interviews with software engineering candidates worldwide via the platform.
• Assess coding skills, problem-solving abilities, technical knowledge, and communication while creating a professional and inclusive candidate experience.
• Provide structured, objective feedback based on established evaluation criteria to reduce bias and improve hiring quality.
• Collaborate with the client’s team to test, refine, and improve interview content, processes, and platform features.
•  

Must Have

• 4+ years of professional experience as a Software Engineer/Developer.
• Strong Ruby / Ruby on Rails proficiency
• Working knowledge of frontend technologies (JavaScript, React, or similar).
• Solid understanding of algorithms, data structures, and software engineering fundamentals.
• Excellent English communication skills (spoken and written).

• Professional demeanor, ability to deliver objective assessments, and reliable setup (webcam, microphone, stable internet).

   

Nice to Have

• Prior experience conducting technical interviews (DS&A, system design).
• Mentoring, coaching, or technical leadership experience.
• Interest in talent assessment, interviewing best practices, or inclusive hiring.
   

Location: EU / Remote (Ukraine)

Type: Freelance full-time (first 3 months), with option to go part-time later.

About the Project

AI Interview Platform (client name undisclosed) — a leading technical interviewing platform used by fast-growing startups and large enterprises worldwide. It pairs experienced engineers with standardized interview frameworks to enable fair, high-signal, and scalable hiring for software engineers globally.

What You'll Do

• Conduct live technical interviews with software engineering candidates worldwide via the platform.
• Assess coding skills, problem-solving abilities, technical knowledge, and communication while creating a professional and inclusive candidate experience.
• Provide structured, objective feedback based on established evaluation criteria to reduce bias and improve hiring quality.
• Collaborate with the client’s team to test, refine, and improve interview content, processes, and platform features.

Must Have

• 4+ years of professional experience as a Software Engineer/Developer.
• Strong Java proficiency + working knowledge of frontend technologies (JavaScript, React, or similar).
• Solid understanding of algorithms, data structures, and software engineering fundamentals.
• Excellent English communication skills (spoken and written).
• Professional demeanor, ability to deliver objective assessments, and reliable setup (webcam, microphone, stable internet).

Nice to Have

• Prior experience conducting technical interviews (DS&A, system design).
• Mentoring, coaching, or technical leadership experience.
• Interest in talent assessment, interviewing best practices, or inclusive hiring.

Location: EU / Remote (Ukraine)

Type: Freelance full-time (first 3 months), with option to go part-time later.

About the Project

AI Interview Platform (client name undisclosed) — a leading technical interviewing platform used by fast-growing startups and large enterprises worldwide. It pairs experienced engineers with standardized interview frameworks to enable fair, high-signal, and scalable hiring for software engineers globally.

What You'll Do

• Conduct live technical interviews with software engineering candidates worldwide via the platform.
• Assess coding skills, problem-solving abilities, technical knowledge, and communication while creating a professional and inclusive candidate experience.
• Provide structured, objective feedback based on established evaluation criteria to reduce bias and improve hiring quality.

• Collaborate with the client’s team to test, refine, and improve interview content, processes, and platform features.

   

Must Have

• 4+ years of professional experience as a Software Engineer/Developer.
• Strong Python proficiency
• Working knowledge of frontend technologies (JavaScript, React, or similar).
• Solid understanding of algorithms, data structures, and software engineering fundamentals.
• Excellent English communication skills (spoken and written).
• Professional demeanor, ability to deliver objective assessments, and reliable setup (webcam, microphone, stable internet).

Nice to Have

• Prior experience conducting technical interviews (DS&A, system design).
• Mentoring, coaching, or technical leadership experience.
• Interest in talent assessment, interviewing best practices, or inclusive hiring.

Location: EU / Remote (Ukraine)

Type: Freelance full-time (first 3 months), with option to go part-time later.

About the role:

As a .NET MAUI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. This project is with a global Financial Services Provider that focuses on providing responsible credit to underbanked customers in international markets. The current strategy centers on consolidating technology delivery to a single partner to drive efficiency and operational excellence.

You will join the Customer Application. The primary mobile application serves as a critical self-service tool for over 800,000 users. It is currently undergoing a technology refresh, migrating to a modern framework to improve scalability, performance, and accessibility compliance across the organization's European footprint.
 

Responsibilities:

• Responsible for solution architectures and setting the strategy across businesses, developing innovative ideas and tracking emerging issues
• Provide hands-on technical leadership, guiding development teams and ensuring scalable software delivery using DevOps best practices
• Design, develop, and maintain complex software systems, driving high-quality code production and defining system architecture
• Act as a force multiplier by improving team processes and guiding software deliveries from conception to deployment
• Manage and oversee implementation against architectural standards and designs, engaging closely with product and architecture stakeholders

• Mentor and develop software builders, providing technical leadership and fostering a collaborative engineering community

   

Requirements:

• Minimum 10 years of experience in major and complex architecture design and programme implementation
• Deep technical expertise in mobile application development including .Net MAUI, React Native, and AWS
• Expert proficiency in C#, .Net Core, REST APIs, and both Android and iOS operating systems
• Expert knowledge of AWS components (API Gateway, Lambda, ECS, Fargate, S3, RDS, DynamoDB, CloudFormation)
• Extensive experience with monitoring and logging tools such as AWS CloudWatch, CloudTrail, and Kibana
• Specialist business knowledge with the ability to manage teams and engage in high-level client relationship management

Desirable:

• Familiarity with the Product Operating Model and advanced AWS services like X-Ray
• Strong focus on emerging 'AWS Cloud' technologies and innovative marketplace ideas
• Ability to forge close links with architects, developers, and analysts to build quality-driven communities
• Fluent English speaking with excellent verbal and written communication skills for stakeholder engagement