Jobs Data & Analytics

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• 7+ years of experience in data science or machine learning roles, ideally with exposure to healthcare projects.
• Strong knowledge of ML frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
• Proficiency in Python for data science and related libraries (NumPy, pandas, matplotlib, seaborn, etc.).
• Experience working with large datasets and data processing frameworks (e.g., Spark, Dask, SQL).
• Understanding of MLOps concepts and tools (e.g., MLflow, Kubeflow, Vertex AI, Azure ML).
• Familiarity with cloud environments (Azure, AWS, or GCP) for training and deploying models.
• Experience with model interpretability, fairness, and explainability techniques.
• Strong communication and visualization skills for storytelling with data.
• English proficiency at Upper-Intermediate level or higher.

Preferred Qualifications (Nice to Have)

• Experience working with medical data (EHR, imaging, wearables, clinical trials, etc.).
• Familiarity with healthcare regulations related to data and AI (e.g., HIPAA, GDPR, FDA AI/ML guidelines).
• Knowledge of FHIR, HL7, or other healthcare interoperability standards.
• Practical experience with deep learning models (e.g., CNNs for imaging, transformers for NLP).
• Involvement in presales, proposal writing, or technical advisory work.

Job responsibilities

• Lead the design and development of AI/ML solutions across HealthTech and MedTech projects.
• Participate in technical presales by analyzing business cases and identifying opportunities for AI/ML application.
• Build and validate predictive models, classification systems, NLP workflows, and optimization algorithms.
• Collaborate with software engineers, cloud architects, and QA to integrate models into scalable production systems.
• Define and guide data acquisition, preprocessing, labeling, and augmentation strategies.
• Contribute to the development of GlobalLogic’s healthcare-focused AI accelerators and reusable components.
• Present technical solutions to clients, both business and technical audiences.
• Support model monitoring, drift detection, and retraining pipelines in deployed systems.
• Ensure adherence to privacy, security, and compliance standards for data and AI usage.
• Author clear documentation and contribute to knowledge sharing within the Architects Team.

We are looking for a candidate for the Business Analyst position to join a telecom operator project.

Responsibilities

• Analysis of the business needs of the internal/external customer, taking into account possible limitations and developing the solution architecture
• Expert evaluation of the customer’s project documentation (briefs, concepts, etc.)
• Agreement of requirements between the internal/external customer and other parties to the process
• Design of technical solutions and managing their life cycle
• Modeling of business processes and developing a solution model
• Planning and organizing testing of solutions by the customer
• Preparation of technical documentation (functional/non-functional requirements), user instructions

• Preparation of orders within the company for performing work on IT platforms

   

Requirements

• Higher education
• Experience as a business or system analyst in IT projects for at least 5 years
• Experience in telecom with Billing, Online Charging, Order Management systems
• Understanding REST architecture, basics of DBMS
• Professional knowledge of UML notation
• Experience working with Jira, Confluence
• Strong skills in working with SQL queries
• Analytical thinking, ability to formalize and document business requirements within the framework of a project/task
• Upper Intermediate or Advanced English level

We are looking for a System Analyst with experience in telecom and IT projects to join a project for a telecom operator. You will be responsible for analyzing business needs, designing system architectures, and working closely with cross-functional teams to deliver effective solutions.

Key Responsibilities:

• Study and analyze the architecture and interaction of existing telecom, IT, and BSS systems
• Analyze business needs of internal/external clients, consider possible limitations, and design solution architecture
• Provide expert evaluation of project documentation (briefs, concepts, etc.)
• Align requirements between internal/external stakeholders and other involved parties
• Analyze complex business processes and model them using UML or BPMN

• Design system architecture and define detailed system requirements

   

Qualifications:

• Higher education, preferably in Information Technology, Computer Science, or Applied Mathematics
• Experience in telecom domain
• Experience working with systems such as Billing, CRM, DWH, and others
• At least 3 years of experience as a System Analyst in IT projects
• Knowledge of telecommunications networks (GSM, GPRS, EDGE, CDMA, etc.) and TCP/IP, Ethernet, IP infrastructure is a plus
• Understanding of REST architecture and basics of DBMS
• Experience with Jira, Confluence, and Enterprise Architect
• Strong analytical thinking, ability to gather, formalize, and document business requirements within a project/task
• Ability to adapt quickly to changing requirements and technologies
• Project management skills: project planning, RACI matrices, conducting meetings, documenting meeting notes
• Ability to effectively collaborate with different company departments (emails, meetings, tasks) and take responsibility for delivering results

• Strong communication and stakeholder management skills

   

Would be a plus:

• Experience with MS Project
• Experience with large-scale projects and working with multiple enterprise-level systems

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Join PwC's Advanced Technology Solutions team as an AI Engineer, where you will contribute to AI and data science solutions for leading global clients. This role is suitable for developers and engineers who want to build, deploy, and scale machine learning systems and AI-powered applications in a dynamic consulting environment.

We are looking for candidates who are strong in Python, confident working with data, and capable of turning complex business challenges into reliable, production-ready AI solutions while collaborating with clients across Western Europe and the USA.

Key Responsibilities:

• Design, develop, and deploy AI and Machine Learning solutions. 
• Build Python-based applications leveraging Generative AI, LLMs, RAG, NLP, Computer Vision, and Data Science techniques. 
• Participate in the full project lifecycle, from requirements gathering through deployment and ongoing support. 
• Collaborate with clients and internal teams to understand business challenges and translate them into scalable technical solutions. 
• Work with structured and unstructured data to develop AI-driven applications. 
• Actively leverage AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, and ChatPwC to enhance productivity, improve code quality, accelerate delivery, and solve complex problems responsibly. 

What You Bring:

• 1–2+ years of experience in AI, Machine Learning or Software Engineering. 
• Strong Python programming skills (e.g. pandas, numpy, scikit-learn). 
• Hands-on experience with Generative AI, LLMs, RAG, NLP, Machine Learning, or Computer Vision. 
• Experience working with SQL databases. 
• Understanding of the ML lifecycle, including model training, evaluation, deployment, and monitoring. 
• Strong analytical and problem-solving skills. 
• English B2+. 

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We are looking for a Middle/Senior ML Engineer to turn loosely framed business problems into reliable, actionable models for a proprietary trading platform that connects traders with funding opportunities. You will work in a high-load, low-latency environment processing millions of events in real time, taking ownership from problem framing and feature engineering through model testing and business-ready results.

Required for this role

• Solid grounding in machine learning theory, with the ability to explain and justify modeling decisions beyond library calls.
• Hands-on experience with Python, NumPy, SciPy, Pandas, and Scikit-learn.
• Experience working with PySpark, including MLlib, for data processing and machine learning.
• Practical experience with XGBoost or other gradient boosting methods (GBM).
• Understanding of logistic regression and its practical application to business problems.
• Experience with survival analysis or time-to-event modeling.
• Knowledge of hierarchical modeling methods and when to apply them.
• Experience using MLflow or comparable experiment and model tracking tools.
• Ability to independently frame a problem from rough context, engineer features, build and test models, and translate results into actions the business can use.
• Strong communication and comfort with ambiguity, including asking questions and flagging unclear assumptions early.

Nice to have

• Familiarity with Microsoft Fabric.

Your responsibilities

• Take loosely framed business problems and develop appropriate ML solutions from scratch.
• Explore data, test hypotheses, and iterate on potential approaches in notebooks.
• Engineer features and build models using gradient boosting, logistic regression, survival analysis, or hierarchical methods, depending on the problem.
• Select rigorous, relevant evaluation metrics based on the business objective and modeling approach.
• Validate whether models hold up against the available data and intended use case.
• Translate experimental findings and model results into clear, actionable outcomes for the business.
• Challenge problem framing when assumptions do not hold, and communicate questions, risks, or blockers early.

What you get

Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.

If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.

Moldindconbank is looking for a Creatio System Analyst to join a digital transformation project focused on designing, configuring, and optimizing a Unified Front System (UFS) on the Creatio platform. The role involves consolidating fragmented applications into a “Single Window” ecosystem supporting SME lending, Retail operations, and Contact Center activities.

The purpose of the role is to translate complex banking requirements into clear technical specifications, scalable architecture, and efficient functional solutions, contributing to system performance, stability, and security.

What you will do :

• Design the solution architecture, including data models, object structure, and business logic within Creatio, ensuring scalability and performance
• Collect and formalize business requirements in collaboration with Product Owners (SME and Retail flows)
• Design complex integrations with Core Banking (ABS B2), Card Processing, DWH, and Telephony (Asterisk)
• Prepare detailed API specifications (REST, SOAP, OData)
• Configure Business Processes (BPMN), Dynamic Cases (DCM), and UI pages (Freedom UI) using no-code / low-code tools, leaving complex C# logic to developers
• Maintain complete technical documentation in Confluence (ER diagrams, sequence diagrams, data mapping)
• Support implementation and delivery, including participation in User Acceptance Testing (UAT)
• Monitor and optimize system performance in collaboration with development and QA teams
• Contribute to system modernization, migration, and CRM expansion initiatives

What we are looking for :

• Higher education in IT or equivalent experience
• At least 3 years of experience as a System Analyst, including 1–2 years on the Creatio (Terrasoft) platform
• Strong SQL skills (complex queries for data analysis)
• Experience with API integrations (REST, SOAP, Webhooks) and tools such as Postman / SoapUI
• Understanding of data formats such as JSON and XML
• Good knowledge of BPMN 2.0 and UML (sequence, activity, component diagrams)
• Understanding of banking processes (Credit Pipeline, KYC/KYD, Customer 360, Loan Origination) is an advantage
• Experience with high-load systems and database optimization (PostgreSQL) is an advantage
• Basic knowledge of C# (.NET) or JavaScript is an advantage
• Experience migrating legacy systems to modern CRM platforms is an advantage
• Strong analytical and problem-solving skills
• Ability to work effectively in cross-functional teams

What we offer :

• Individual career development and growth path
• Performance-based bonus system
• Continuous professional and personal training
• Participation in internal clubs and team-building activities
• Preferential banking products for employees

Brief introduction
You will build production RAG and LLM systems that read real documents and run inside enterprise ERP and finance stacks.

This is a solo, end-to-end role. You join client calls, design the architecture, then build the important parts yourself. Our core stack is Python, Django, Angular and RAG. Ukraine/EU hours.

About us

Deploy Staff automates the manual work large enterprises run on: finance, operations, customer service, reporting. We build complex systems for clients in the US and UAE (currently primarily UAE), centered on production RAG and LLM workflows that read real documents and integrate with real ERP and finance systems.

Despite the name, we don't place engineers into other people's teams. We are not an outstaff company. We own the solutions we build end to end, and so will you.

The role

Solo and end to end. You are the engineer on your projects: there is no development team, and the technical work is yours from discovery through production support.

You sit in on client calls with the project manager, understand the business problem, design the architecture, then open the codebase and build it yourself. The PM runs the relationship and the commercial side. You own the system.

Solo does not mean isolated. You have direct access to the people making decisions, and we talk architecture through with you before you commit to it. After that the code is yours to write and merge. Part of the job is judgement about which calls are yours and which should come back to us, and we would rather be asked than surprised.

If you have spent recent years distributing work and reviewing it, this will feel like a step backwards. If you have spent them wishing there were fewer people between you and the problem, it will not.

What we expect

Our core stack is Python, Django, Angular and RAG/LLM-based workflows. That is what we need you to already be good at.

Core

• Production LLM work: RAG (retrieval design, chunking, evaluation), document processing, structured extraction or agentic workflows. Shipped and operated by you, through the parts that only show up after real users arrive
• Strong Python with Django or DRF, and PostgreSQL data models you can design and debug in production
• Angular and TypeScript. You own the frontend of what you build, so you need to be able to ship a feature through it without waiting for anyone
• Advanced English (C1). You will question senior stakeholders directly and explain a decision a second way when the first one does not land

Also part of the work

You will hit all of this. We do not expect equal depth in every line, and we do expect you to pick up what you are missing.

• Celery, Redis, queues and asynchronous processing
• Enterprise integration: ERP, finance, CRM systems and their APIs
• Cloud infrastructure, deployment, observability and security. AWS, GCP, Kubernetes, Docker
• Reading an existing system before changing it, and keeping what already works

What matters more than the CV

What you personally built, what you personally decided, and what happened when it broke. If your strongest examples are systems your team implemented while you supervised, this is not the right fit.

How we work

Remote, with working hours aligned to the Ukraine time zone.
Small team, direct access to decision makers, real operational problems. You get problems to solve rather than specs to implement.

Interview

1. Introductory interview.

2. Technical interview with us.

3. Test task.

4. Offer.
Interviews are recorded and shared only within the hiring team, so decisions are made on what you actually said rather than someone's notes.

Repeating once again - our core stack is Python, Django, Angular and RAG! We cannot compromise on any of these. If one of those isn't present or barely used - this is an immediate mismatch!

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.

We are looking for Forward Deployed Engineer. 
Our client is a venture-backed Industrial AI startup building the technology behind the self-aware factory.

As a Forward Deployed Engineer, you will work directly with industrial customers, taking projects from initial discovery through deployment and expansion.

This is a highly hands-on, customer-facing engineering role. You will understand how a customer's factory operates, identify valuable use cases, connect their systems and data, and build and deploy AI-powered workflows that deliver measurable business impact.
 

Responsibilities:

• Work directly with customers to understand their factories, processes, systems and operational challenges
• Lead technical discovery sessions, workshops and use-case definition with engineering, operations and IT teams
• Translate manufacturing problems into practical AI agents, workflows and technical solutions
• Build, configure and deploy agents for production, quality, maintenance, logistics and engineering use cases
• Integrate industrial and enterprise data from PLCs, OPC UA, MQTT, SCADA, historians, MES, ERP, QMS, CMMS, databases and APIs
• Connect and contextualize customer data within the Context Graph
• Work closely with customers during pilots, deployments and rollouts
• Troubleshoot technical issues and continuously improve deployed solutions
• Identify recurring customer needs and translate them into requirements for the product and engineering teams
• Support technical sales, solution discovery and early customer engagements
   

Requirements:

• Strong experience with Python, APIs, databases and/or data integration
• Experience working with complex technical systems and integrating different data sources
• A product mindset and genuine curiosity about understanding customer problems
• The ability to communicate effectively with engineers, plant teams, operations leaders and enterprise IT
• Experience in manufacturing, industrial technology, AI/ML, AI agents or enterprise software is a strong advantage
• An entrepreneurial mindset and the ability to work independently in an ambiguous, fast-moving environment
• Strong ownership and a willingness to take responsibility for the entire customer outcome
• The ability and willingness to travel regularly to customer sites

Background

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science or a related field — or equivalent practical experience
• Strong communication and problem-solving skills
• Comfortable working independently and taking initiative
• Fluent English
• Location Munich
   

Interested?

If you have a strong technical background and enjoy solving complex problems directly with customers, we'd be happy to hear from you.

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior Business Analyst!  

Requirements: 
- Exceptional core Business Analysis skills with a proven track record of eliciting, structuring, and writing clear, high-quality technical and functional requirements.
- Previous experience working in complicated, dynamic environments with a high level of uncertainty and complex cross-unit dependencies.
- Deep understanding of software development lifecycles (SDLC) and Agile methodologies.
- Proven experience drafting BRDs and decomposing them into backlog items — Epics, User Stories, and Acceptance Criteria.
- Solid knowledge of BPMN, UML, and system/block diagrams.
- Ability to communicate effectively with business stakeholders in terms of value and KPIs, and with tech teams on a technical level.
- Strong ability to break down complex business logic into actionable development tasks. 

Will be a plus: 
- Productive experience in the iGaming industry, specifically with casino games and slot mechanics.
- Knowledge of data analytics and familiarity with BI tools (Tableau, Power BI, Looker, etc.).
- Experience with API documentation.
- Familiarity with A/B testing and UX research principles.
- Knowledge of BABOK principles would be an advantage.

Responsibilities: 
- Drive the business analysis activities for launching a new domain, ensuring all product needs are accurately captured, structured, and documented.
- Act as the primary bridge and mediator between the Product team and the Technical team, translating product vision into detailed technical requirements.
- Translate business needs into actionable deliverables for development, including documentation, backlog items, epics, and user stories.
- Actively manage and groom the backlog, clarify complex logic for developers, and ensure the final technical delivery aligns with product expectations.
- Ensure business stakeholders have the required level of transparency on progress, priorities, and decisions throughout the product lifecycle.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 
 

PayDo, a leading Electronic Money Institution (EMI) authorised by the FCA in the UK, FINTRAC in Canada, and MFSA in Malta, operates in 140 countries and over 25 industries. Offering multicurrency IBANs, merchant solutions and mass payment options, PayDo provides premium and convenient payment services. With all features available through one platform and contract, PayDo is a preferred solution for local and international payments.

About the role

We are building our business intelligence capability from the ground up and have not yet committed to a BI platform. We're looking for a hands-on BI expert who has worked across multiple BI tools, can evaluate the options against our real needs — data security, scalability, cost, embeddability — recommend the right stack, and then implement it end to end.

This is both a decision-making and a build role. You won't inherit a fixed toolset; you'll help define it.

What you'll own

Phase 1 — Evaluate & select

• Audit our data sources, reporting needs, stakeholders, and constraints (security, budget, team skills).
• Benchmark candidate platforms (e.g. Tableau, Power BI, Metabase, Grafana, Looker, Superset) against those criteria.
• Present a reasoned recommendation with clear trade-offs on cost/licensing, data security, scalability, and maintainability.

Phase 2 — Build

• Stand up the chosen platform from scratch: connections, data models, governance, permissions and row-level/role-based access, first production dashboards.
• Establish standards for reporting, naming, and documentation.

Ongoing — Operate & scale

• Prepare regular (daily/weekly/monthly) and ad-hoc reports across finance, payments, operations, sales, marketing, and product.
• Gather stakeholder requirements, draft functional specs and wireframes, validate data accuracy, and finalize reports with stakeholders.
• Implement scheduled email summaries and event-based (trigger) notifications to departments.
• Automate data collection, processing, and aggregation via SQL/scripts; reduce manual effort and speed up refresh cycles.
• Design and maintain database schemas (OLTP/OLAP); write high-performance SQL, apply indexing, optimize complex JOINs; ensure data integrity and manage access controls.
• Set up secure export procedures (CSV/Parquet/JSON) and automate data dumps for internal teams and external partners, with quality and completeness checks.
• Advise the team on BI best practices, run trainings/workshops, troubleshoot incidents, and maintain documentation and user guides in Confluence.

Requirements

• 4+ years as a BI Analyst, BI Engineer, or Data Analyst — ideally in fintech, payments, e-commerce, or a regulated data environment.
• Production, hands-on experience with at least 2–3 BI platforms (e.g. Tableau, Power BI, Metabase, Grafana, Looker, Superset) — not just "familiarity," but having built dashboards, prepared data models, and administered the tool.
• Demonstrated experience selecting, migrating, or standing up a BI tool/platform — you have made, or strongly influenced, the "which tool" decision at least once.
• Ability to reason about platform trade-offs: licensing/cost models (per-user vs. capacity vs. open-source), data connectivity, self-service vs. governed reporting, embedding/white-label, scalability, on-prem vs. cloud, and security/compliance.
• Strong SQL: complex queries, analytical/window functions, JOIN and query optimization.
• Data modeling: relational and analytical models (OLTP/OLAP); structuring data for reporting; consistency across sources.
• Automation: ETL concepts, scheduling, automating collection/processing/reporting workflows.
• Security mindset for regulated data: role-based / row-level access, SSO, audit trails, awareness of data-residency constraints.
• Clear communicator — can explain findings and justify technical decisions to both technical and non-technical stakeholders; comfortable gathering requirements.
• Documentation discipline (Confluence).
• English: Upper-Intermediate+.
• Overlap with CET working hours (remote-first).

Nice to have

• Experience with embedded / white-label analytics (serving dashboards to external clients).
• Modern data stack exposure (dbt, warehouse-native modeling) and Python for automation.
• Prior EMI / PSP / open banking data experience and awareness of regulatory reporting.
• Experience running a tool evaluation or migration as a documented, criteria-based process.

We work in a result-driven culture. You'll fit in if you:

• Are meticulous, dependable, and proactive.
• Communicate clearly and professionally with stakeholders across teams.
• Have a strong problem-solving mindset and can turn complex data into clear insights for non-technical audiences.
• Demonstrate high attention to detail and prioritize effectively in a fast-changing environment.

• Take a proactive approach to spotting patterns, proposing improvements, and catching data issues before they reach reports.

   

What we offer:

• Annual Learning & Development Budget – invest in your growth with dedicated funds for courses and certifications
• Regular Performance Reviews Based on KPIs – for your professional advancement
• Transparent career path – opportunity to reach Lead roles within 1 year, Head roles in 2 years, and C-level in 4 years based on performance
• Innovation Financial Rewards – share your ideas via PayDo Ideas Hub and earn extra bonuses
• Paid Vacation & Sick Leave – with flexibility to transfer unused days or receive compensation
• Public Holidays – aligned with your country’s calendar
• Flexible payout options – via PE accounts or popular e-wallets

We are looking for a highly organized and detail-oriented AI Image Editing & Back Office Specialist to join our team.
 

This role combines AI-powered image editing with operational back-office support. You will receive requests through our help desk system, process AI image edits, and ensure every request is completed accurately and assigned to the correct ticket.
 

Success in this role depends on attention to detail, strong organizational skills, and the ability to manage a high volume of requests without mistakes.
 

Responsibilities

• Edit static images using AI face swap and image editing tools.
• Process requests received through the internal help desk system.
• Prepare edited images and return them to the appropriate support ticket.
• Maintain accuracy and consistency across all requests.
• Handle multiple tasks simultaneously while following established workflows.
• Perform back-office tasks within internal systems.
• Ensure all requests are completed correctly and on time.
 

Requirements

• Experience using AI tools for editing static images and face swaps.
• Strong attention to detail and excellent organizational skills.
• Previous experience with back-office or operational support.
• Comfortable working with ticketing/help desk systems.
• Ability to manage a high volume of repetitive tasks while maintaining accuracy.
• Self-motivated and able to work independently.
 

Nice to Have

• Experience with tools such as FaceFusion, Roop, InsightFace, ComfyUI, Stable Diffusion, Flux, Photoshop AI, or similar AI image editing software.
• Experience working in customer support platforms or help desk systems.
• Experience with workflow automation.
 

What We Offer

• Remote full-time position.
• Comprehensive salary
• Long-term opportunity.
• Work with modern AI technologies.

At DICEUS, we’re inviting motivated individuals to join us as Intern Business Analysts and start their journey in software delivery and product development.

This internship is a great opportunity to gain hands-on experience working with enterprise-level solutions in the insurance domain, collaborate with cross-functional teams, and learn Agile practices, requirement analysis, and documentation preparation. You will work closely with experienced BAs and development teams to understand how real digital products are built and delivered.

What You’ll Be Learning

• Fundamentals of business analysis
• How to collect, document, and analyze business and technical requirements
• Preparing documentation: user stories, specifications, requirements, presentations
• Working with tools such as Jira, Confluence, and Trello
• Participation in project meetings: daily stand-ups, planning, demos
• Understanding and applying SDLC in practice
• Communication with clients and internal stakeholders

What We Expect From You

• Basic understanding of software development processes
• Strong analytical and communication skills
• Interest in business analysis, IT consulting, and working with requirements
• Responsibility, attention to detail, willingness to learn and grow
• English level — at least Intermediate for communication and documentation

What We Offer

• Hands-on business analysis experience on real IT projects
• Opportunity to work with enterprise-level products in the insurance industry
• Supportive and professional environment with continuous learning culture
• Potential career growth to Junior Business Analyst after successful internship completion

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

On behalf of our client, we are looking for a Senior Infrastructure Engineer (GPU Platform)

Requirements:

- Production experience with multi-node GPU training infrastructure

- Strong Linux, containers, CUDA, and NVIDIA GPU stack knowledge

- Hands-on experience with NCCL and InfiniBand or RoCE/RDMA troubleshooting

- Deep experience with Kubernetes or Slurm

- Experience with infrastructure automation and observability

- Experience diagnosing issues across training workloads, networking, storage, and GPU hosts

- Strong incident leadership and provider-facing communication skills

- English – Upper-Intermediate or higher

Would be a plus:

- Experience in an AI lab, HPC environment, or specialist GPU cloud

- PyTorch, Megatron, DeepSpeed, or other distributed-training frameworks

- Experience with parallel storage and checkpoint optimization

- Experience working with multi-provider GPU platforms

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews