Jobs Data & Analytics

Lead Computer Vision & ML Engineer — Founding Role

About Us

We are a newly funded MilTech startup building an on-premises platform for automated annotation of petabytes of UAV video and training computer vision models for autonomous flight. We have a strategic partnership with the largest Ukrainian UAV manufacturer and access to what is the largest privately owned UAV video dataset in the world. We are at the very beginning — the technical plan exists, the funding is secured, the data is real — and now we need the right people to turn it into reality.

The Role

We are looking for a Lead CV/ML Engineer as a founding member of the engineering team. This is not a role where you inherit a codebase and maintain it. You will define the ML architecture, choose the tools, build the pipeline from scratch, and grow a team around it as the platform matures.

The technical plan outlines the direction — petabyte-scale video processing, active learning, edge deployment on Jetson — but the specific implementation decisions are yours to make. We value strong technical judgement over checkbox experience with a predefined stack.

What You Will Own

ML Architecture & Technical Direction
- Define the end-to-end ML pipeline: from raw video ingestion through data curation, training, and deployment to UAVs
- Evaluate and select the tools and frameworks that best fit the problem (our current thinking: PyTorch, Ray, MLflow, FiftyOne — but nothing is set in stone)
- Establish training infrastructure, experiment tracking, and model versioning from day one
- Make build-vs-integrate decisions across the stack

Data Pipeline & Curation
- Design video preprocessing pipelines: clip segmentation, frame extraction, scene detection, embedding extraction
- Build a data curation workflow to select diverse, high-quality training subsets from a massive raw corpus
- Define the annotation ontology and labelling policy for detection, classification, and multi-object tracking

Model Development
- Train and iterate on computer vision models for object detection, scene classification, tracking, and segmentation
- Implement distributed multi-GPU training for large-scale experiments
- Design the active learning loop: auto-labelling with confidence routing, human review integration, retrain triggers
- Define quality control metrics and model promotion criteria

Edge Deployment
- Optimize models for real-time inference on NVIDIA Jetson (ONNX, TensorRT, INT8 quantization)
- Validate edge accuracy against training baselines
- Design the model delivery pipeline from registry to deployed UAVs

Team Building
- Hire and mentor ML engineers as the team grows
- Establish engineering practices: code review, testing, documentation
- Own the ML technical roadmap and communicate it across the company

What We Are Looking For

Must Have
- 5+ years in computer vision and deep learning, with production deployments
- Strong PyTorch proficiency, including distributed training
- Experience with object detection and tracking pipelines (YOLO family, RT-DETR, Detectron2, or similar)
- Hands-on model optimization for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
- Experience building training infrastructure (pipelines, experiment tracking, CI/CD for ML)
- Proven ability to lead a small engineering team (hiring, mentoring, technical guidance)
- Python as primary language; clean, production-grade code

Strong Plus
- UAV / drone / robotics domain experience
- NVIDIA Jetson deployment experience
- High-performance video processing pipelines (DeepStream or custom)
- MilTech or defense-related work
- Experience defining ML architecture from scratch at an early-stage company
- C++ for performance-critical components

Proposed Tech Stack

This is our starting point, not a mandate. The right candidate will validate, adjust, or replace these choices based on their experience.

- Training: PyTorch, distributed training (DDP/FSDP) 
- Data processing: Ray Data or equivalent scalable framework 
- Data curation: FiftyOne, embedding-based selection 
- Annotation: CVAT with pre-annotation and active learning 
- Experiment tracking: MLflow 
- Edge: ONNX → TensorRT → NVIDIA Jetson 
- Infrastructure: Kubernetes, on-prem GPU cluster 
- Storage: S3-compatible object storage (Ceph) 

What We Offer

- A founding engineering role with direct influence on the technical direction of the company
- Ownership of the full ML pipeline end-to-end — from raw video to models flying on UAVs
- The largest privately owned UAV video dataset in the world — petabyte-scale, impossible to replicate
- Dedicated on-prem GPU resources — no cloud queues or budget negotiations for compute
- Open-source-first approach with no vendor lock-in
- The opportunity to build and lead an ML team from the ground up
- Competitive salary
- Stock option
 

Key Responsibilities

• Gather, document, and maintain business and technical requirements for KYC, KYT, AML, and Fraud Monitoring tools.
• Analyze customer onboarding journeys and optimize verification and AML screening processes using tools like Sumsub, ComplyAdvantage, Crystal.
• Establish compliance automation rules and thresholds, including transaction limits, sanction lists, and PEP checks.
• Design and implement CRM workflows to support Compliance and Customer Support, covering ticketing, case management, and audit trails.
• Evaluate and participate in third-party provider integrations for KYC, AML, and fraud monitoring.
• Keep documentation up-to-date in Confluence, manage backlog and project progress in Jira, and ensure consistent communication across stakeholders.
• Collaborate closely with Compliance Officers to ensure system operations meet internal policies and regulatory standards (EU & UAE).

Requirements

• 3+ years of experience as a Senior Business Analyst in fintech, neobanks, or crypto/fiat payment environments.
• Hands-on experience with KYC / AML / KYT systems (e.g., Sumsub, Crystal, Chainalysis, ComplyAdvantage).
• Strong understanding of compliance workflows: onboarding, ongoing monitoring, sanctions screening, and risk management.
• Experience with CRM and back-office systems, including building logical flows, permissions, stages, and ticketing structures.
• Ability to translate complex business requirements into actionable technical tasks.
• Knowledge of transaction monitoring rules, thresholds, and best practices in regulatory frameworks (EU / VARA / FATF).
• Proficiency in documentation and modeling techniques (BPMN, UML), writing user stories, and defining acceptance criteria.
• Experience working in Agile/startup environments with cross-functional teams.
• Proficient with Jira, Confluence, Miro, Figma, Excel/Sheets.
• Strong stakeholder management, communication, and facilitation skills.
• English proficiency at Upper-Intermediate level or higher.

Your future responsibilities:

• Collaborate with data and analytics experts to strive for greater functionality in our data systems
• Design, use and test the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies (DevOps & Continuous Integration)
• Drive the advancement of data infrastructure by designing and implementing the underlying logic and structure for how data is set up, cleansed, and ultimately stored for organizational usage
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Build data integration from various sources and technologies to the data lake infrastructure as part of an agile delivery team
• Monitor the capabilities and react on unplanned interruptions ensuring that environments are provided & loaded in time

Your skills and experience:

• Minimum 5 years experience in a dedicated data engineer role
• Experience working with large structured and unstructured data in various formats
• Knowledge or experience with streaming data frameworks and distributed data architectures (e.g. Spark Structured Streaming, Apache Beam or Apache Flink)
• Experience with cloud technologies (preferable AWS, Azure)
• Experience in Cloud services (Data Flow, Data Proc, BigQuery, Pub/Sub)
• Experience of practical operation of Big Data stack: Hadoop, HDFS, Hive, Presto, Kafka
• Experience of Python in the context of creating ETL data pipelines
• Experience with Data Lake / Data Warehouse solutions (AWS S3 // Minio)
• Experience with Apache Airflow
• Development skills in a Docker / Kubernetes environment
• Open and team-minded personality and communication skills
• Willingness to work in an agile environment

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library and English lessons. • Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023

Opportunities for Everyone:

• Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

Want to learn more? — Follow us on social media:

Facebook, Instagram, LinkedIn

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Райффайзен Банк — найбільший український банк з іноземним капіталом. Більше 30 років ми створюємо та вибудовуємо банківську систему нашої держави.

У Райфі працює понад 5 500 співробітників, серед них одна із найбільших продуктових ІТ-команд, що налічує понад 800 фахівців. Щодня пліч-о-пліч ми працюємо, щоб більш ніж 2,7 мільйона наших клієнтів могли отримати якісне обслуговування, користуватися продуктами і сервісами банку, розвивати бізнес, адже ми #Разом_з_Україною. 

Твої майбутні обов’язки:

• Співпраця з експертами з даних та аналітики, щоб досягти більшої функціональності наших систем даних
• Проектування, використання та тестування інфраструктури, необхідної для оптимального вилучення, перетворення та завантаження даних з широкого спектру джерел даних за допомогою технологій SQL та AWS для великих даних (DevOps та безперервна інтеграція)
• Сприяння розвитку інфраструктури даних шляхом проектування та впровадження базової логіки та структури для налаштування, очищення та, зрештою, зберігання даних для використання в організації
• Збирати великі, складні набори даних, що відповідають функціональним/нефункціональним бізнес-вимогам
• Створювати інтеграцію даних з різних джерел та технологій в інфраструктуру озера даних як частина гнучкої команди з постачання
• Моніторити можливості та реагувати на незаплановані перебої, забезпечуючи своєчасне надання та завантаження середовищ

Твій досвід та навички:

• Мінімум 5 років досвіду роботи на посаді спеціалізованого інженера з даних
• Досвід роботи з великими структурованими та неструктурованими даними в різних форматах
• Знання або досвід роботи з фреймворками потокових даних та розподіленими архітектурами даних (наприклад,
• Spark Structured Streaming, Apache Beam або Apache Flink)
• Досвід роботи з хмарними технологіями (бажано AWS, Azure)
• Досвід роботи з хмарними сервісами (Data Flow, Data Proc, BigQuery, Pub/Sub)
• Досвід практичної експлуатації стеку Big Data: Hadoop, HDFS, Hive, Presto, Kafka
• Досвід роботи з Python у контексті створення ETL-потоків даних
• Досвід роботи з рішеннями Data Lake / Data Warehouse (AWS S3 // Minio)
• Досвід роботи з Apache Airflow
• Навички розробки в середовищі Docker / Kubernetes
• Відкрита та командна особистість, комунікативні навички
• Готовність працювати в гнучкому середовищі

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку.
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей.
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою.
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile. Корпоративна бібліотека та уроки англійської.
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах.
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями.
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink.
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes).

Чому Райффайзен Банк? 

• Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 
• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомогисеред банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

Бажаєш дізнатися більше? — Підписуйся на нас у соц.мережах:

Facebook, Instagram, LinkedIn 

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

1 EM, 5 ML Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background:You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience:You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
• Technical Expertise:
  • Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other.
  • Experienced in natural language processing and modern LLM based techniques.
  • Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques
  • Skilled with SQL and data extraction methods.
• Innovative Thinker:

You thrive on solving complex problems and are always exploring new trends in Generative AI.

• Collaborator & Communicator:

You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders.

• Domain Knowledge:

Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Про компанію SPD TechnologySPD Technology is a custom software product development and IT consulting company with a world-class team of over 600 experts with extensive expertise in solving big-time technical challenges, efficiently managing large-scale software development efforts, and seamlessly integrating with the client’s business through tailored, long-term partnerships for delivering cutting-edge tech solutions that drive clients' growth.

Our major expertise includes 10 key industries: Fintech, E-commerce, Telecom / IoT, e-Learning, Logistics, Insurance, Biotech, Cybersecurity, Medicine, Wellness. Our top-notch engineering teams deliver Web, Mobile, AI/ML or Enterprise solutions for world-renowned businesses and budding startups. Our key clients are iconic brands such as PitchBook, MorningStar, Roche, and more. Ten of our clients report more than $100 million in annual revenue.

We have 3 development centers in Eastern Europe, and remote teams, working worldwide. With over 17 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries.

Let’s create empowering tech solutions together!

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Dataforest is looking for a Senior Data Engineer to join our team and work on the Dropship project — a cutting-edge data intelligence platform for e-commerce analytics.
You will be responsible for developing and maintaining a scalable data architecture that powers large-scale data collection, processing, analysis, and integrations.

If you are passionate about data optimization, system performance, and architecture, we’re waiting for your CV!

Requirements:
• 4+ years of commercial experience with Python;
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• PostgreSQL — must have;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Experience with Message brokers: Kafka/ Redis;
• Experience with Pandas;
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.   

Will Be a Plus:
• Understanding noSQL DBs (Elastic);
• TimeScaleDB;
• PySpark;
• Experience with e-commerce or fintech.   
 

Key Responsibilities:

• Develop and maintain a robust and scalable data processing architecture using Python.

•  Design, optimize, and monitor data pipelines using Kafka and AWS SQS.

•  Implement and optimize ETL processes for various data sources.

•  Manage and optimize SQL and NoSQL databases (PostgreSQL, TimeScaleDB, Elasticsearch).

•  Work with AWS infrastructure to ensure reliability, scalability, and cost efficiency.

•  Proactively identify bottlenecks and suggest technical improvements.

 We offer:

•  Working in a fast-growing company;

•  Great networking opportunities with international clients, challenging tasks;

• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

As an ML Engineer, you'll work at the intersection of machine learning systems, knowledge representation, and reasoning infrastructure — building the foundational intelligence layer that powers our platform. This isn't about wrapping APIs or fine-tuning models in isolation. You'll be solving hard problems at the frontier of applied ML.

What you'll work on:

Designing ML pipelines that transform unstructured, proprietary information into semantically rich, queryable representations

Building and integrating models that enable probabilistic reasoning, multi-hop inference, and context-aware decision support

Developing agentic workflows where AI assists human judgment through explainable outputs, uncertainty quantification, and iterative feedback loops

Defining evaluation metrics and testing frameworks for high-stakes, information-led environments

Contributing to architectural decisions around ML infrastructure and model serving

Collaborating closely with backend engineers, product, and domain experts

What We're Looking For

Strong foundations in machine learning — NLP, information extraction, representation learning

Systems thinking mindset, not just model performance in isolation

Comfortable working in ambiguity and defining problems from first principles

Intellectually honest — willing to challenge assumptions, including our own

Pragmatic: ships working systems, iterates on real feedback, avoids over-engineering

Cares about reproducibility, clarity, and long-term maintainability

What We Offer

Work on genuinely hard, foundational problems at the intersection of ML and knowledge systems

Founder-led, deeply technical environment — low-ego, high-ownership

Fast feedback loops, strong opinions, high bar for clarity

Flexible/hybrid setup centred around London

Early-stage equity

Our Values

First-principles thinking. Human judgment matters. Intellectual honesty. Trust by default. Compounding advantage. Build infrastructure, not wrappers.

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

Job Description

• 5-6 years of commercial experience, including at least 3 years in a related field;
• Strong knowledge and proven experience with Machine Learning, Computer Vision and Deep Learning;
• Technically strong with Python and/or other relevant programming experience;
• Ability to design and implement complex algorithms;
• Proficiency with numpy, scipy, opencv, tensorflow;
• Self manageable person, able to work without supervision;
• Experience in a field related to video analysis and/or processing;
• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or a related field;
• Strong communication skills with Upper-Intermediate English level and ability to work under the pressure.

Job Responsibilities

We are seeking an experienced Senior Computer Vision Developer to join a collaborative initiative with our client's team, aimed at advancing and maintaining multiple real-time systems that leverage computer vision technologies. In this role, you will integrate seamlessly with both our internal team and the client's, contributing to a unified approach for enhancing system capabilities.

Your key responsibilities will involve developing and optimizing computer vision models, addressing existing bugs, and implementing new features that enhance system performance across various applications. You will be instrumental in supporting and evolving these systems to meet new challenges, working within a cross-functional team and contributing to a shared backlog.
 

Department/Project Description

Our client runs one of the most popular amusement parks in the world. The safety of their guests and cast members is the key to providing a seamless entertainment experience and our client was looking for ways to leverage the latest technology to take safety to the next level.

GlobalLogic helps the client create a flexible real-time AI-based attraction monitoring system to detect, alert, and record any discrepancy between the number of people detected by an overhead camera and the number of occupied seats from the seat sensor indicator lights.

ML/CV engineer

We’re looking for a passionate Machine Learning / Computer Vision Engineer to join our team.

As a member of our team, you will participate in research & development of solutions in the field of computer vision, document understanding using cutting-edge machine learning approaches. The position will involve different aspects of R&D including initial research, analysis, prototyping and development. By joining our team you’ll be able to affect Ukrainian Deftech area innovations and contribute to important today’s military products.

Responsibilities:

• Research and development of Image Processing algorithms including CV algorithms
• Research and prototyping of detection and tracking algorithms using ML and CV
• Work with data collection and analysis in order to improve efficiency of ML/CV dependent algorithms

Job Qualification:

• 2 years of commercial experience with Python
• Demonstrated hands-on experience with TensorFlow, PyTorch
• Practical Experience with Machine Learning, including designing, training, fine-tuning of ML models, and integrating machine learning systems into production environments related to Computer Vision, Document Understanding
• Experience with Object Tracking area using ML/CV
• Experience with vision transformer, vision encoder-decoder architectures
• Strong analytical and communication skills

Will be a plus:

• Experience in Miltech development
• Experience with code performance optimization
• Master’s or Bachelor’s degree in computer science, math, statistics, or related field
• Experience in C/C++ 

Working Conditions:

• official employment 
• offline work for growing deftech company (remote is also option but mostly offline)
• military exemption

Duration: 3 months (with potential extension or conversion)
Reporting to: Director of Data & Analytics

Role Overview

We are seeking a highly skilled Analytics Engineer to provide immediate coverage and stabilization for our media data infrastructure during a transition period.

In this role, you will act as the primary data architect, responsible for maintaining and improving a complex Google BigQuery environment, ensuring data integrity across multiple marketing data sources, and migrating existing transformation logic into a scalable, transparent analytics framework to support our move toward Omni Analytics.
 

This position is ideal for a hands-on specialist who can quickly understand existing systems, stabilize operations, and bring structure and clarity to legacy data workflows.
 

Key Responsibilities

• Own and maintain a complex Google BigQuery data environment
• Ensure data accuracy, consistency, and reliability across multiple sources
• Manage and validate data ingestion from:
  • Supermetrics
  • APIs
  • Manual vendor files
• Reverse engineer existing SQL scripts and transformations to:
  • Extract embedded business logic
  • Document assumptions and dependencies
• Migrate legacy transformations into a scalable, maintainable, and transparent framework
• Support the transition toward an Omni Analytics architecture
• Collaborate closely with the Director of Data & Analytics and key stakeholders
• Apply best practices for version control and collaborative development using Git

Required Skills & Experience

• Expert BigQuery & SQL
  • Advanced SQL mastery (window functions, UDFs, scripting, query optimization)
  • Strong understanding of GCP and BigQuery performance considerations
• Marketing Data & AdTech Experience
  • Deep knowledge of advertising data schemas (Meta, Google Ads, TikTok, etc.)
  • Hands-on experience with data ingestion tools such as Supermetrics or Fivetran
• Problem Solving & Ownership
  • Proven ability to analyze, reverse engineer, and refactor legacy SQL logic
  • Strong troubleshooting and root-cause analysis skills
• Version Control & Collaboration
  • Proficiency with Git-based workflows (GitHub, Bitbucket)
     

Nice to Have

• Experience designing analytics layers or semantic models
• Familiarity with dbt or similar transformation frameworks
• Experience working with marketing or media analytics teams
• Prior involvement in data platform migrations or modernization initiatives

Engagement Details

• Contract duration: 3 months
• Possibility of extension or conversion based on performance and business needs
• High-impact role with immediate ownership and visibility
   

If you enjoy bringing order to complex data systems and taking ownership of critical analytics infrastructure, we would be happy to connect.

Technical skills needed:

• 4+ years of experience in a role Business or System or Functional Analyst;
• Proficient in writing User Stories, Use Cases, Functional and Non-Functional requirements, system diagrams, wireframes;
• Experience of working with Restful APIs (writing requirements, API usage);
• Experience in Microservices architecture;
• Experience of working with Agile methodologies (Scrum, Kanban);
• Solid knowledge in DB and SQL;
• Knowledge of UML, BPMN;
• Understanding of key UX/UI practices and processes;
• Understanding of software development lifecycle;
• Understanding of architecture of WEB-based application;
• English Upper-Intermediate or higher.

Soft Skills:

• Excellent communication and presentation skills;
• Proactiveness;
• Organized, detail-oriented with ability to keep overall solution in mind;
• Comfort working in a fast-paced environment, running concurrent projects and manage BA work with multiple stakeholders;
• Good time-management skills, ability to handle multitasking activities.

As a plus

• Experience in writing requirements for reporting system, dashboards, DWH, ETL, etc
• Experience in enterprise software development or finance domain;
• Experience in delivery of desktop and web-applications;
• Experience of successful system integration project.

Responsibilities:

• Participation in discovery phases and workshops with Customer, covering key business and product requirements;
• Manage project scope, requirements management and their impact on existing requirements, defining dependencies on other teams;
• Creating business requirements, user stories, mockups, functional specifications and technical requirements (incl. flow diagrams, data mappings, examples);
• Close collaboration with development team (requirements presentation, backlog grooming, requirements change management, technical solution design together with Tech Lead, etc.);
• Regular communication with internal (Product, Account management, Business teams) and external stakeholders (Partners, Customers); 
• Preparing UAT scenarios, validation cases;
• User Acceptance Testing;
• Demo for internal stakeholders;
• Creating documentation (user guides, technical guides, presentations).
   

Project Description:

Wireless Standard POS (Point-Of-Sales) (www.b2bsoft.com) is our retail management solution for the Telecom Market.

It provides thousands of retailers with features and functionalities they need to run their businesses effectively with full visibility and control into every aspect of sales and operations. 

It is simple to learn, easy to use and as operation grows, more features can be added on.

Our system can optimize and simplify all processes related to retail in this business area. 
 

Few things that our product can do:

• Robust Online Reporting
• Repair Management Software
• 3rd Party Integrations
• Customer Connect Marketing
• Time and Attendance
• Carrier Commission Reconciliation

 As a Business Analyst/ System Analyst, you will be the liaison between the lines of business and the Development team, have the opportunity to work on a very complex product with microservice architecture (50+ for now) and communicate with Product, QA, Developers, Architecture and Customer Support teams to help improve product quality.
 

About the Company

Our client is a consulting-driven analytics and data solutions provider supporting franchise-based businesses across multiple industries. They partner directly with operational leaders and project managers to turn raw operational data into practical insights, improving decision-making, reporting accuracy, and overall business performance.

The team values pragmatic, cost-effective solutions over unnecessary complexity. This is a collaborative environment where developers influence both technical architecture and real business outcomes. This role offers flexible remote work, steady growth potential, and the opportunity to directly impact client operations through analytics and reporting.

About the Role

We have an immediate need for a Part-Time Remote Senior BI Developer/Architect to support franchise clients on project-based work. The role will begin at approximately 10 hours per week and is expected to grow closer to 20 hours per week over time.

Candidates must be available to overlap with core hours between 8:00 a.m. and 12:00 p.m. EST US, or until approximately 1:00 p.m EST US.

You will collaborate directly with the project manager to run reports, create dashboards, analyze data points, and deliver actionable insights to clients.

Responsibilities:

• Collaborate with team members and actively participate in architectural decisions for the business intelligence platform.
• Identify tools to solve business problems and create proof-of-concepts to support organizational decision-making.
• Design, build, enhance, and maintain both historical and real-time interactive dashboards and reports for analysts, applications, and external business partners.
• Use SQL and other tools efficiently to create scalable, reliable, and high-performance reports and dashboards.
• Automate ad-hoc reports, optimize user queries, and facilitate data research and understanding.
• Review datasets to ensure data quality and accuracy.
• Implement data security measures to protect PII and other sensitive information in reports.
• Build data applications using Power Apps or similar tools.
• Work closely with the project manager and franchise clients to analyze data and communicate insights clearly.

• Provide creative, practical, and cost-effective solutions to client challenges.

   

Required Skills & Experience:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 4-5 years of experience in a Business Intelligence role.
• Strong proficiency in SQL, including joins, inserts, updates, deletes, conditional logic, subqueries, temp tables, and complex data transformations.
• Experience building graphs and charts that communicate useful insights.
• Knowledge of relational database management and data warehousing concepts.
• Experience reviewing datasets for data quality.
• Experience with Power BI, SSRS, or another enterprise-level reporting platform.

• Strong communication skills and confidence working directly with clients.

   

Nice to Have:

• Experience building applications using Power Apps.
• Experience in a consulting or client-facing environment.
• Experience supporting franchise or multi-location businesses.
• Experience working with real-time reporting environments.
• Exposure to data governance or data security best practices.

PIN-UP Global is an international company specializing in developing and implementing advanced technologies, B2B solutions and innovative products.

We ensure certification and licensing of our products, providing customers and partners of the holding company with high-quality and reliable solutions.

The holding’s headquarters is located in Cyprus.

We’re looking for a sharp and driven Data Analyst to join our team!

Responsibilities:

• Research and prepare data with SQL;
• Build efficient and optimised queries (aggregating views, tables etc);
• Create dashboards for product and cashdesk teams;
• Brainstorm how to make things better and share your findings with team, because your view is valuable and may help or impact whole company.

Requirements:

• Experience with BI tools (Tableau preferably), may attach a screenshot of one of your dashboards;
• Strong SQL and complex queries optimisation;
• Understanding raw transactional data and experience in converting them intro aggregated product metrics for further analysis;
• Be active person with burning desire to learn new tools, passion to analytics and friendly work in team.

What are the conditions and bonuses?

🍀An exciting and challenging job in a fast-growing product holding, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;

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

📍Beautiful offices in Warsaw, Limassol, Yerevan — work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;

🧑‍💻Laptop & all necessary equipment for work according to the holding standards;

🏖Paid vacations, personal events days, days off;

🫖Paid sick leave;

👨‍⚕Medical insurance;

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

📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

🗣Free internal English courses;

🤸‍♀Sport benefit;

🦄Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;

🎳Company events, team buildings.

Job Description
We are looking for a motivated Trainee ML Engineer to join our team and support AI-focused challenges and the development of data pipelines for Generative AI and large language model (LLM) projects. This role is ideal for someone eager to grow in AI/ML, data engineering, and natural language processing.

Qualifications
- Student in Computer Science, Data Science, Engineering, or a related field.
- Basic programming skills in Python with OOP; familiarity with SQL and NoSQL.
- Basic knowledge of REST API. Familiar with Fast API framework.
- Basic knowledge of Git, Docker, linux commands.
- Basic knowledge of asynchronous flows, flow in threads.
- Interest in AI - especially GenAI, Agents, Chats, prompt tuning, trends, and patterns.
- Some exposure to ML frameworks (TensorFlow, PyTorch) or NLP libraries (Huggingface Transformers, SpaCy).
- Understanding of DevOps/MLOps principles and cloud platforms is welcome.
Would be the benefits of previous years of experience and a substantial understanding of:
- Kafka and other event streaming services
- AWS data access/warehousing tools, such as Athena (in use), S3 storage

Key Responsibilities

Collaborate with engineers on model integration, including prompt engineering and RAG (Retrieval-Augmented Generation) setups. Developing AI Agents and Chats. Develop ML models and approaches.
Be aware of modern patterns and trends in the ML/GenAI area. Bring new ideas of how it may be leveraged in the project.
Work with vector databases and embedding models.

Department/Project Description

GlobalLogic is building an analytical platform for the client. The platform will gather information about companies from various sources, normalize it according to a predefined flow, and present it to the user as a set of analytical dashboards. The gathered and processed information will enable customers to make decisions about the business state of the investigated companies. Analytical information will help customers predict the future state of the relevant companies and improve customer’s business processes.

The client provides high-value analysis and support to partner companies to identify and mitigate emerging business challenges. Today, the customer’s business processes are highly manual and fragmented.

The project aims to define and bring to life a digital platform that connects the client’s employees with relevant and meaningful information about their portfolio holdings, enabling insights and action.

Skill Category

AI/ML