Jobs Data & Analytics

We are currently looking for a Senior AI Platform and Model Operations Engineer to join a professional German-based product company team that designs innovative eHealth solutions for hospitals.

You will work on a stable healthcare product.

You'd own the models and the platform around them, serving every channel we put in front of a patient.

The phone assistant is first because it's already underway, but it isn't the point of the job. Next is a chat assistant in the patient portal that can answer questions and walk someone through booking an

appointment, and after that whatever channel comes along.

The thing you're actually building is one internal API that every channel calls, so that the rules about what a patient can do live in one place instead of being written three times, slightly differently. The phone assistant and the web chat are two front ends onto the same thing.

Alongside that: moving off the vendor. Right now we pay per minute for speech recognition and language models, and within about a year we want to be running them ourselves — because we're dealing with

patient data, and because we don't want a vendor swapping a model underneath us without telling us.

To be clear about scope: we mean serving open-weight models and adapting them to our domain. We don't mean training a model from scratch.

One thing we want to be direct about. We are not looking for someone to build what we've already decided on. We don't yet know whether running these models ourselves is the right call — we don't have an accuracy figure on real German phone audio, and we don't have a proper cost comparison. Your first job is to produce both, and if they say we should keep paying the vendor for another year, we need you to tell us that plainly. Someone who quietly builds the thing because we asked for it is worse than no hire at all. If being the person who says "the numbers don't support this" makes you uncomfortable, this isn't the job.

You need

• To have put a language model behind an API that more than one product called, and kept it running.
• Streaming responses, timeouts, retries, and errors that tell the caller something useful.
• To have run a speech recognition or language model in production on hardware you were responsible for. Not a notebook, not someone else's API.
• To be able to size and cost it: how many people one GPU will serve at once, what an hour of audio or a million tokens costs you, where it starts to fall over.
• Tool calling in production, and a clear view on where the boundary sits. The assistant will guide patients through booking, which means the model proposes an action and our code decides whether it's allowed. If you've built something where the model was effectively trusted to act, we'd want to talk about what you'd do differently.
• To have dealt with untrusted text reaching a model that can trigger actions. A chat box on a patient portal is a much easier thing to attack than a phone call, and someone will try.
• Experience grounding a model on your own content so it stops inventing things — and honesty about where that still fails.
• Experience fine-tuning or adapting an open-weight model, LoRA or PEFT or something equivalent, and the honesty to say whether it was worth the effort.
• A habit of being suspicious of your own benchmark numbers, especially the good ones.
• To understand that using patient conversations to train a model is a different legal question from using them to answer one. If that distinction is new to you, this role probably isn't the right fit.
• Python and Linux, containers, and a serving stack like vLLM or TGI.
• Enough experience to work without an ML team around you, and to tell a team lead something he'd rather not hear.
• We are considering candidates who work through Ukrainian FOP.

Nice to have

• Quantization, and a view on what it costs you in accuracy.
• Audio processing: sample rates, codecs, what a phone network does to a recording.
• GPU scheduling, Kubernetes.
• Having built something where the same assistant had to behave consistently across more than one channel.
• Having worked somewhere GDPR was taken seriously rather than mentioned occasionally.

You don't need

• To have built a voice assistant, or to know anything about telephony. That's the other role, and the phone channel is only one consumer of what you'd build.
• To speak German.
• To know PHP . You'd define what our backend needs to expose; another team builds it.

Kindgeek is looking for a sharp, curious Business Analyst who thrives at the intersection of finance and technology. Your mission will be to turn complex FinTech and crypto requirements into clear, actionable solutions that our Agile teams can build with confidence. Along the way, you’ll also help shape new client engagements, bringing structure and clarity to opportunities from the very first conversation.

RESPONSIBILITIES

As a Business Analyst, you will be responsible for:

• Defining and communicating the product vision and roadmap to the Agile team, adjusting it based on stakeholder feedback and market changes;
• Creating, maintaining, and prioritizing the product backlog, including clear user stories and acceptance criteria;
• Engaging with stakeholders to gather requirements and acting as the primary liaison between business and the Agile team;
• Participating in sprint planning and reviews, adjusting priorities based on team feedback and retrospectives;
• Defining acceptance criteria and validating delivered functionality against business needs;
• Analysing technical diagrams and supporting the development team in documenting back-end business logic;
• Supporting pre-sales activities, including client discovery calls, proposal preparation, and Work Breakdown Structures (WBS).

REQUIREMENTS

We’re looking for a Business Analyst who has:

• 5+ years of experience as a Business Analyst, preferably within the FinTech sector;
• Hands-on exposure to crypto on-ramp/off-ramp solutions and banking/payment systems;
• Strong understanding of financial technologies, with proven expertise in crypto and banking payments;
• Genuine interest in learning adjacent sub-domains such as open banking, card processing, and AML/KYC;
• Proven ability to work on technical projects, including API analysis and solution design;
• Excellent analytical skills, with the ability to think critically and solve complex problems;
• Outstanding communication skills, with the ability to convey technical information to non-technical stakeholders;
• Collaborative attitude, with the ability to work effectively within a dynamic team environment;
• Experience participating in pre-sales activities, including proposal and WBS preparation.

Will be a plus:

• Experience working with Agile/Scrum methodologies in a FinTech environment;
• Familiarity with AML/KYC or open banking regulations;
• Experience presenting solutions directly to clients during pre-sales stages.

WHAT WILL YOU GET WITH KINDGEEK

We want you to thrive and feel supported

Professional growth: at Kindgeek, we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.

Benefits package: Kindgeek offers all team members competitive compensation and a benefits package that includes 18 working days of fully paid vacation, 10 compensated by 50% sick leaves without a note from the doctor, and an opportunity to take study leaves. Depending on how long you stay in the company, you can receive different health insurance packages from our partners.

Personal growth: as a part of our team, you will have access to corporate English courses with a 50% reimbursement, take advantage of our offline library and access a large selection of corporate training and classes. Also, every employee can request any internal or external training or certification if it applies to his or her work responsibilities.

Geek community: at Kindgeek, we value community — even in the full-scale invasion times, we take every opportunity to stick together. Our geeks organise various online and offline clubs — from stretching and skiing to English. We volunteer together and support each other.

Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub — an innovative cafe-style co-working in Lviv (it’s pet-friendly!).

We encourage you to apply

At Kindgeek, we encourage everyone to apply — regardless of nationality, race, gender, marital status, disability, sexual identity, or religion. We are growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. We aim to bring equal opportunities to all team members and candidates — especially those underrepresented in technological companies.

Project overview

This project focuses on building and enhancing an enterprise data warehouse platform that supports data driven decision making across complex business domains. The work involves designing scalable data models, ingestion pipelines, and transformation logic to ensure high quality and consistent data.

Team

You will be part of a collaborative data team working alongside data designers, data engineers, and platform specialists. The team operates in an agile environment, shares knowledge actively, and follows established data design standards and review practices.

Position overview

We are looking for a Senior Data Designer who can operate as the bridge between business stakeholders and engineering — someone equally comfortable running a requirements workshop and designing a Kimball-style dimensional model. This is not a pure modelling role: you'll investigate source systems, challenge and shape business requirements before any design work starts, and turn that understanding into governed, well-documented data platform designs that engineering teams can implement. You will contribute to data ingestion design, transformation logic, and data harmonization while working closely with stakeholders and platform teams.

Technology stack

Core: SQL, dimensional/Kimball data modelling, enterprise data warehouse tools, cloud data platforms
Additional technologies used within the project: Python, PySpark, data profiling tooling

Responsibilities

• Design and document Enterprise Data Warehouse objects: data models, source-to-target mappings, model diagrams, and supporting design documentation that engineers deliver from
• Work with stakeholders and source-system SMEs to onboard new data sources and adapt designs to what each source provides
• Clarify the intent behind requirements before designing: why the stakeholder needs it and whether existing structures already cover it
• Profile and analyze source data to validate design assumptions
• Define data quality rules as part of designs for downstream teams to implement
• Investigate reported data issues, identify root causes, and propose design-level fixes
• Take designs through peer and design review; give and take constructive challenge
• Keep stakeholders informed: raise issues early, ask instead of assuming, follow up until unblocked

Requirements

• Strong practical foundations of dimensional modeling — able to design warehouse models from raw source data and explain the reasoning behind design choices
• Hands-on experience producing source-to-target mapping documentation
• Working understanding of data platform layering and data load approaches
• Confident SQL for data profiling and validation
• Strong written and spoken English; comfortable gathering requirements and managing stakeholder expectations
• Attention to detail; comfortable working in a governed environment with reviews and design standards, and data privacy/PII classification requirements

Nice to have

• SAP as a source system
• Retail domain experience
• Agile delivery experience

We are looking for a Functional Analyst for the Microsoft Dynamics 365 Finance and Operations platform to help transform the company’s financial and operational processes using modern technologies. You will join a cross-functional team working on the implementation and optimization of business solutions in the field of finance, logistics, and resource management. If you have experience working with D365 F&O and strive to influence strategic processes, this role is for you.
 

What you will do

• Gather information from and collaborate with different types of stakeholders (finance, procurement, warehouse, IT)
• Understand strategic business needs and plans for growth
• Gather and document detailed business requirements and transform them into user stories, including acceptance criteria
• Create, document, and maintain solution designs
• Execute standard and advanced configuration of the system, giving demos/prototypes to business users
• Prepare functional gap design documents
• Test new configurations and customizations — ensuring the provided functionality is in line with existing flows and satisfies stakeholders’ needs and requirements
• Organize key user validation process, support for end-to-end user acceptance testing
• Users’ consultancy and support; handle tickets as a second-level support engineer
• Follow the Change and Release management process
• Prepare release notes
• Manage tasks (AzureDevOps/Jira)
   

Your profile

• Upper-intermediate English
• >3 years’ experience with Microsoft Dynamics 365 Finance&Operations implementation and support
• Extensive experience in Microsoft Dynamics 365 Finance&Operations implementation projects
• Strong knowledge of standard D365 functionalities and most of the business processes listed below: 
  • Accounting policy (General Ledger, account structure, period close, etc.)
  • Accounts payable
  • Accounts receivable
  • Manufacturing accounting
  • Inventory accounting (closing and adjustment, inventory revaluation, inventory counting, inventory posting etc.)
  • Cost accounting
  • Tax accounting (understanding of business process flows)
  • Subscription billing (nice to have)
  • Electronic reporting
  • Experience in supply chain management flows is a plus
• Experience working in an integrated environment (and understanding of the approach of working with it)
• Experience with AzureDevops/Jira
• UML/BPMN knowledge is a plus
• Experience in preparing user stories, user manuals, and release notes
• Able to adapt requirements to both technical and business languages
• Experience with the preparation of different types of products and project documentation
• Experience with organizing validation activities (user acceptance testing)
• A technical background is an advantage
• Logical and analytical thinking 
• Independent research on solutions
• A critical thinker, detail-oriented, and self-organized

We are currently looking for a Senior Voice AI Engineer, Evaluation and Reliability to join a professional German-based product company team that designs innovative eHealth solutions for hospitals.

You will work on a stable healthcare product.

Senior level, and we mean it. You would own the evidence that this system is safe to put in front of

patients, on your own judgement, and tell us when the answer is no. That isn't a job we can hand to

someone still learning what to measure.

You would not be building a voice stack. We use a third-party voice platform that already handles the

telephony, the speech recognition and synthesis, and the knobs for end-of-speech detection and

interruption. What it does not do is tell us whether any of that is working well enough for patients, and it

gives us no way to check that a change hasn't made things worse. That's the job.

So you'd own the conversation and the evidence about it: how the assistant behaves when a caller

interrupts, corrects themselves or won't answer; how fast the whole thing responds once a round trip to

our backend is in the loop; and the body of test cases we run before every change.

You need

• To have run a phone or voice assistant that took real calls from real users, and to be able to tell us what its response time was and how you measured it. Having built the audio pipeline yourself is fine but not the point — we care that you know what to measure and what good looks like.
• To have tuned a voice system rather than only shipped one: end-of-speech detection, barge-in, how long to wait before assuming the caller has finished. You'd be doing this against a vendor's settings rather than your own code, and their own documentation says clean barge-in can't be guaranteed on phone audio.
• To know what happens to speech recognition accuracy when the audio comes down a phone line instead of a good microphone, and to have measured it rather than read about it.
• A way of testing conversation changes that doesn't rely on listening to a few calls and hoping. This is the centre of the role. Whatever form it took — a replay harness, a scored scenario set, anything — we want to hear how it worked and where it let you down.
• Enough Python to build that harness and the tooling around it.
• We are considering candidates who work through Ukrainian FOP.

Nice to have

• Having worked against a closed voice platform, with the frustrations that brings, rather than only your own stack.
• Telephony background: SIP , WebRTC, Asterisk, Twilio or similar. Useful for knowing why calls sound the way they do, though you would not be running any of it.
• Work with health data, or any other field where getting it wrong has consequences.
• German, though we're not counting on it.

You don't need

• To speak German.
• To have built streaming audio infrastructure, a turn-taking system or a speech pipeline. The platform does that, and rebuilding it isn't on the table.
• To know PHP or anything about our existing backend. Another team builds the endpoints you'd call.
• To have trained a model from scratch.

We are expanding our delivery team and hiring an Oracle Database Developer for a large-scale energy transformation project. The system is live, complex, and business-critical, supporting millions of customer accounts, large volumes of transactional data, and core billing and customer management processes.The project operates in the energy domain and is part of a long-term enterprise implementation where database development is closely integrated with delivery, QA, product, and support teams. You will work with complex data models, business-critical processes, and high-performance database solutions that support real production environments.Responsibilities

• Design, develop, and maintain business logic using Oracle PL/SQL.
• Develop, optimize, and troubleshoot complex SQL queries, procedures, packages, functions, and triggers.
• Participate in database design and implementation activities.
• Analyze and improve SQL and PL/SQL performance for large-scale production workloads.
• Work with complex data models and enterprise business processes.
• Support data migration, integration, and data correction activities when required.
• Collaborate closely with developers, QA engineers, Business Analysts, Product Owners, and support teams.
• Investigate and resolve production issues related to database logic and data consistency.
• Contribute to technical documentation and knowledge sharing within the team.
• Ensure the quality, reliability, and maintainability of database deliverables.

Required Skills

• 3+ years of experience in Oracle database development.
• Strong knowledge of SQL and PL/SQL.
• Good understanding of Oracle RDBMS fundamentals.
• Experience developing and maintaining complex database objects.
• Experience working with large datasets and complex business logic.
• Understanding of relational database design principles and data modeling concepts.
• Experience troubleshooting and optimizing database performance.
• Intermediate English or higher.
• Strong analytical and problem-solving skills.

Preferred Background

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience with database design and data modeling.
• Experience with SQL performance tuning and PL/SQL optimization.
• Experience working on enterprise-scale, long-living systems in active delivery environments.
• Experience in the Energy, Utilities, Telecommunications, Billing, CRM, or other enterprise software domains.

Nice to Have

• Experience with Java development.
• Experience with JavaScript.
• Familiarity with BPM platforms such as Camunda.
• Experience with PostgreSQL or NoSQL databases.
• Understanding of CI/CD practices and automated testing.
• Basic database administration knowledge.
• Experience working in Agile development environments.

What You’ll Get

• Opportunity to work on a large-scale enterprise solution used in a real production environment.
• Exposure to complex business processes within the energy industry.
• Participation in long-term product evolution and strategic transformation initiatives.
• 20 working days of annual vacation plus paid public holidays.
• Paid professional development, including trainings, conferences, seminars, certification programs, and English language courses.
• Flexible working hours and the possibility of remote work.

If you enjoy solving complex data challenges, working with enterprise-scale systems, and developing reliable database solutions that support mission-critical business processes, you will be a strong fit for our team.

Join us to develop SLAM, Visual-Inertial Odometry (VIO), and state estimation solutions for real-world robotics and navigation systems.

We're looking for an engineer with a strong mathematical background and extensive experience in classical and geometric computer vision. You'll independently design, prototype, and optimize computer vision algorithms, quickly turn research ideas into working solutions, and contribute to technical decisions across the development process.

Responsibilities:

• Design, develop, and optimize classical and geometric computer vision algorithms
• Work with feature tracking, matching, and geometric processing
• Develop and improve SLAM / VIO and state estimation pipeline components
• Integrate and test multi-sensor fusion systems (camera + IMU)
• Design and run experiments, evaluate algorithm performance
• Translate research papers into practical implementations
• Collaborate with cross-functional engineering teams

Required Qualifications:

• 5+ years of professional experience in computer vision, robotics, or a related field
• Deep understanding of linear algebra, statistics, and optimization methods
• Strong hands-on experience with classical and geometric computer vision
• Strong understanding of camera models, feature detection and tracking, geometry, and state estimation
• Proven experience developing SLAM, Visual-Inertial Odometry (VIO), or related localization systems
• Strong C++ development skills and experience with Linux
• Experience designing, implementing, and optimizing production-ready computer vision algorithms
• Ability to independently investigate research papers and implement state-of-the-art methods
• Experience working on R&D projects
• Degree in Computer Science, Mathematics, Physics, Engineering, or related STEM field

Nice to Have:

• Experience with Python
• Knowledge of neural networks and CV libraries/frameworks (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion techniques
• Familiarity with embedded or real-time systems
• Robotics or navigation background

Are you energized by walking into a client’s operation, finding the workflow that’s actually holding them back, and rebuilding it so AI handles the parts that don’t need a person? At Sigma Software, we don’t just add AI on top of existing processes  we redesign how the work gets done, with AI built into the operating logic from day one.

We’re looking for a Forward AI Deployment Engineer to own that redesign end to end: embedded with the client, hands-on with whatever automation the workflow actually needs, and accountable for turning a real operational problem into something running in production not a demo, not a pilot. Each engagement is built to leave something behind for the next one patterns, infrastructure, governance that already held up in production  so the second engagement doesn’t start from zero, and the tenth looks nothing like the first.

Requirements

• Proven experience taking AI systems from prototype to production inside a real operating environment, not just in a lab or sandbox.
• You treat LLM/RAG architectures, agentic systems, cloud platforms, and data pipelines as tools for redesigning how work gets done, not as the deliverable — and you’re strong and current enough with all of them to actually use them that way.
• Comfort mapping decision logic that’s partly undocumented, and judgment about where automation should stop and human accountability should start.

• Excellent communication and stakeholder management — able to advise a client directly and escalate without being asked.

   

  Responsibilities

   

• Embed directly with the client’s operational team to find the workflow that’s actually costing them time, quality, or money before recommending any tooling.
• Own the redesign end to end: rework the decision flow and handoffs around AI, then take the resulting system into production yourself.
• Translate a vague, cross-functional business problem into a concrete technical plan the client’s team can actually execute against.
• Prototype fast enough to show the client what’s possible, then build only the parts of that prototype the redesigned workflow actually needs.
• Where the redesign calls for it, build the agentic systems, RAG pipelines, or custom data pipelines that make it real never a deliverable in itself, always because the workflow needs it running in production.
• Manage stakeholder alignment across the client’s org, escalating early and requesting support before a blocker becomes a delay.
• Build up the client’s own team alongside the system pair with their people, explain the reasoning behind each decision, and leave them able to run and improve what you built after you’ve moved to the next engagement.
• Build the feedback loop from day one  telemetry, evaluation pipelines, human-in-the-loop review — so the system keeps improving after you’ve moved on.

Project description

We are looking for two Senior AI Engineers to join the project, where the team is building an AI platform with agentic capabilities and knowledge-graph-based solutions.
The team currently consists of three engineers and two Project Managers. The engineers will join as hands-on contributors and work closely with the existing team to design, build, and evolve the platform.

Requirements
- Strong professional experience in AI/ML engineering or software engineering with a significant focus on AI.
- Proven hands-on experience building agentic systems, AI agents, or multi-step AI workflows.
- Strong understanding of how agentic systems work beyond simply using existing AI tools or APIs.
- Deep hands-on experience with AWS, including designing and implementing cloud-based solutions.
- Experience with AWS Bedrock, preferably with Claude models.
- Experience working with OpenAI models and APIs.
- Strong programming skills in Python or another relevant language.
- Experience designing and integrating APIs and production-grade services.
- Practical experience with knowledge graphs, graph databases, or graph-based reasoning.
- Strong problem-solving and communication skills.
- Ability to work independently in a hands-on engineering role.

Nice to Have
- Experience with AWS Neptune.
- Experience with Neo4j.
- Experience designing knowledge graph architectures.
- Experience with graph query languages such as Gremlin or Cypher.
- Experience with AI agent frameworks or orchestration tools.
- Experience with RAG, tool use, function calling, planning, memory, and agent evaluation.
- Experience deploying and operating AI systems in production.

Responsibilities
- Design and implement agentic AI systems and workflows.
- Develop production-ready AI platform components using large language models.
- Work with knowledge graphs and graph-based data structures.
- Build integrations with AWS AI and cloud services.
- Contribute to the architecture and implementation of scalable AI solutions.
- Develop, test, debug, and optimize hands-on solutions.
- Collaborate with engineers and Project Managers to deliver project objectives.
- Investigate new approaches and technologies relevant to agentic AI and knowledge graphs.

Team: Three engineers and two Project Managers

PaySpace Magazine is an expert digital media about innovative financial technologies. It covers fintech, retail, e-commerce, blockchain, cryptocurrency, banks, and startups. 

We are looking for an Middle IT Business Analyst to join our team.
 

Required Skills:

• 4+ years of successful experience in IT, covering the full BA lifecycle: from initial requirements gathering to UAT (User Acceptance Testing) support and maintenance.
• Proven practical experience in making decisions and effectively prioritizing requirements in projects, collaborating with the PM/PO (Project Manager/Product Owner).
• Experience in creating specifications, user stories / use case descriptions, UI prototypes, and UML diagrams.
• Practical experience in API analysis (JSON, XML, webhooks/callback mechanisms), generating technical requirements, and working with tools like Postman / Swagger.
• Proficiency in working with Jira, Confluence, and Postman.
• Basic knowledge of SQL for data validation and testing support.
• Skills in meeting facilitation, requirements clarification, and experience participating in UAT, Demos, and Refinement sessions.
• Ability to clearly articulate requirements in plain language for both business stakeholders and technical teams.
• English — Intermediate+ (for documentation & communication).
• Ability to work with a product that is actively scaling and changing.
   

Will be a plus:

• Experience in Fintech / E-commerce projects: understanding of payment processes, integrations, security, and merchant management.
   

Responsibilities:

• Gathering, analyzing, and structuring requirements for product development.
• Analyzing API documentation and setting up tasks for integration development.
• Communication with stakeholders, business representatives, and development teams.
• Detailed specification of requirements (business, functional, and non-functional).
• Developing user interface (UI) prototypes.
• Handling change requests and assessing their impact.
• Participation in backlog refinement, preparation of UAT scenarios, and supporting the delivery process.
• Maintaining effective interaction and a transparent process within the team.
   

We offer:
— Competitive compensation depending on experience and skills;
— Remote-first work environment with flexible working hours;
— 20 paid vacation days annually for rest and recharge;
— 20 days of sick leave, available as needed;
— Corporate English classes;
— Professional development support.

We are the creators of a new fintech era!
 

Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
 

We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
 

The future of Web3 starts with you — join us as a Middle Financial BI Analyst!
 

Requirements
 

• Strong SQL skills, including subqueries, window functions, CTEs, and query optimization.
• At least 2 years of experience developing dashboards and reports using BI platforms.
• Solid understanding of data architecture and data modeling principles.
• Experience with Data Governance or Data Stewardship practices.
• Strong analytical mindset, proactive approach, ability to ask the right questions of data, and a structured problem-solving approach.
• Knowledge of Python is considered an advantage.
   

Responsibilities
 

• Develop and maintain dashboards within the BI platform.
• Create, maintain, and continuously update the business glossary and data catalog, including dataset documentation in Confluence.
• Collaborate with business stakeholders to gather requirements and deliver analytical solutions.
• Validate data accuracy, consistency, and overall data quality.
   

Working terms
 

Immerse yourself in Crypto & Web3:

• Master cutting-edge technologies and become an expert in the most innovative industry.
   

Work with the Fintech of the Future:

• Develop your skills in digital finance and shape the global market.
   

Take Your Professionalism to the Next Level:

• Gain unique experience and be part of global transformations.
   

Drive Innovations:

• Influence the industry and contribute to groundbreaking solutions.
   

Join a Strong Team:

• Collaborate with top experts worldwide and grow alongside the best.
   

Work-Life Balance & Well-being:

• Modern equipment.
• Comfortable working conditions, and an inspiring environment to help you thrive.
• 22 business days of paid leave.
• Additional days off for national holidays.
• Health insurance.
  
  WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
  
   Ready to disrupt the industry with us? Apply now and let’s build the decentralized future together!

We are looking for a Computer Vision Engineer with strong experience in deep learning and applied computer vision systems.
The role involves working on challenging CV problems in real-world environments.
We consider Middle and Senior engineers, with scope adapted to experience.
Responsibilities

• Develop, train, and optimize deep learning models for:
  • image retrieval
  • image matching (keypoint detection and matching)
  • auxiliary perception tasks supporting the main pipeline
• Evaluate models using quantitative metrics, including:
  • retrieval quality (mAP, Recall@K)
  • matching performance (precision/recall, repeatability)
  • end-to-end system metrics (accuracy, latency, robustness)
• Optimize models for production deployment using modern toolchains:
  • ONNX / TensorRT / OpenVINO / edge acceleration where applicable
  • model compression techniques (quantization, pruning, distillation)
  • latency, memory, and throughput optimization
• Work with large-scale visual datasets and descriptor-based representations
• Collaborate with engineering teams to integrate models into production systems

Required Qualifications

• 2–4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with keypoint detection and matching models (e.g. SuperPoint, R2D2, DISK, LightGlue, SuperGlue)
• Experience with image retrieval or metric learning systems
• Strong understanding of geometric and motion-related computer vision concepts:
  • keypoint detection and description
  • image matching and geometric verification (RANSAC, homography, PnP)
  • pose estimation and refinement techniques (PnP, bundle adjustment, pose graph optimization)
  • optical flow and frame-to-frame tracking
  • vector search / ANN methods for descriptor retrieval
• Strong Python skills (PyTorch and scientific computing stack)
• Ability to read and understand inference code in C++

Nice to Have

• Experience with noisy or imperfect real-world datasets
• Self-supervised or unsupervised learning methods (contrastive learning, homography supervision, etc.)
• Experience optimizing models for edge deployment (quantization, pruning, distillation)
• Familiarity with FAISS or similar vector search systems
• Experience with optimization libraries for geometric problems (bundle adjustment, pose refinement)
• Understanding of real-time constraints (latency, memory, CPU inference budgets on ARM or low-power x86 systems)

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

OU’s: Currently, Nuero, Cardio, Diabetes is the OU that HDP data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

As a System Engineer within the Company Research & Systems Engineering team, you will have the opportunity to work on cloud-based solutions with a strong focus on AWS, Data Engineering, and scalable data platforms. You will collaborate with cross-functional engineering teams to design, develop, integrate, and maintain reliable cloud-native systems and data workflows.

In this role, you will contribute to building and evolving AWS-based architectures, data processing pipelines, and integrations across distributed systems. You will develop a strong understanding of end-to-end system architecture, data flows, infrastructure, and operational requirements, helping to drive technical implementation and delivery throughout the software development lifecycle.

You will work closely with software engineers, data engineers, architects, and other stakeholders to ensure that solutions are scalable, secure, maintainable, and aligned with both technical and business requirements.

• 3+ years of experience in System Engineering, Software Engineering, Cloud Engineering, Data Engineering, or a related technical role.
• Strong software development experience with Python.
• Hands-on experience designing, developing, or supporting solutions on AWS.
• Experience with data engineering concepts and technologies, including data ingestion, ETL/ELT, transformation, validation, and data processing pipelines.
• Strong SQL skills and experience working with relational and/or NoSQL databases.
• Experience with REST APIs, service integrations, and distributed application architectures.
• Understanding of cloud-native architecture principles and modern software development practices.
• Experience troubleshooting applications and distributed cloud systems and performing root cause analysis.
• Experience with Git and modern CI/CD development workflows.
• Strong analytical and problem-solving skills with the ability to understand complex systems and data flows.
• Ability to work effectively with software, data, cloud, and machine learning engineering teams.
• BA/BS in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience with AWS data services such as S3, Glue, Athena, EMR, or similar technologies.
• Experience with Amazon SageMaker and machine learning development or deployment workflows.
• Experience with Infrastructure as Code using AWS CloudFormation, Terraform, or AWS CDK.
• Experience with AWS monitoring and observability services such as CloudWatch and CloudTrail.
• Experience working in Agile/Scrum development environments.

Job responsibilities

• Work with engineering and cross-functional stakeholders to gather, analyze, clarify, and document business, functional, and non-functional requirements, translating them into clear system and technical requirements.
• Define system requirements, interfaces, data flows, integration requirements, acceptance criteria, and technical constraints for cloud-based software components, data platforms, and integrations.
• Maintain requirements throughout the development lifecycle, ensuring traceability between business needs, system requirements, technical design, implementation, and validation.
• Identify gaps, dependencies, assumptions, and potential technical risks in requirements and work with stakeholders to resolve them before and during implementation.
• Design and contribute to scalable AWS-based architectures supporting data ingestion, processing, transformation, storage, and distribution.
• Analyze data and system behavior to support architecture, implementation, performance, and product decisions.
• Collaborate with Data Engineering, Software Engineering, Cloud Engineering, DevOps, and Architecture teams to design and integrate end-to-end cloud solutions.
• Support operational monitoring, logging, alerting, and troubleshooting of cloud applications and data processing workflows.
• Contribute to system architecture and technical design discussions, including scalability, reliability, security, performance, and cost considerations.
• Participate in technical and requirements reviews to ensure solutions meet defined requirements, engineering standards, cloud best practices, and established software development processes.
• Support continuous improvement of cloud infrastructure, data pipelines, deployment processes, requirements management, and engineering practices throughout the software development lifecycle.

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.

As a Business Analyst, your core mission is to bridge business needs and technical solutions, ensuring software aligns with requirements.

What you will do:

• Collaborate with stakeholders to gather, analyze, validate, and document business requirements;
• Evaluate and mitigate risks associated with project requirements;
• Advocate for stakeholders' needs and priorities;
• Work closely with developers, QA team, and other BAs to ensure that software solutions meet quality standards and functional requirements.

Requirements:

• 3+ years of experience in Business Analysis;
• At least intermediate proficiency in both written and spoken English;
• Proficiency in eliciting and documenting business requirements;
• Ability to break down large and complex tasks into simple and easy ones, build the correct connections between them, and the ability to describe the algorithm for developers;
• Ability to model and prototype interfaces in Figma or others;
• Experience in integrating with third-party systems (API, files exchange);
• Experience using Jira, Trello, browser Developer tools, Figma, Postman, Slack, any raster graphic editor;
• Confident understanding of various file formats (CSV, JSON, XML);
• Basic knowledge of SQL;
• Ability to model processes and data on UML diagrams;
• High level of mastery of Google Workspace or Microsoft Office tools.
   

Soft skills

• Strong analytical mindset with exceptional attention to detail and problem-solving abilities;
• Self-reliance and autonomy in work;
• Effective interpersonal and cross-cultural communication;
• Results-oriented with a focus on achieving goals and delivering outcomes.

What would be a plus but not required:

• Experience in CRM/Fintech.
  
  Time Zone Requirement
• Availability to work within the UTC+6 to UTC+7 time zones is required to ensure sufficient daily overlap with both our European and Australian teams.
   

About Orgmeter

OrgMeter is deal-flow, tracking and reporting software to help take your merchant cash advance business to the next level

Company website:

orgmeter.com