Globaldev Group

Role Description Join the Platform R&D Group, where we leverage data to drive real impact in the maritime world. Our core mission is to become the intelligence authority of the oceans - mission-grade maritime AI that brings action-ready clarity across the global seas. We are scaling our operations, rapidly advancing our AI efforts, models, and the complex problems we are solving. For that, we are building robust infrastructure that will enable us to push more models to production, in a faster manner and with our eyes wide open on how our models perform. You will be part of a research team, directly impacting the fundamentals of our data research, supporting the creation and improvement of our core-data algorithms. As part of your role, you will be the driving force to scale our AI capabilities. You will own the infrastructure and processes that support the full lifecycle of AI models - from research through production and performance monitoring. - Lead and drive the deployment, lifecycle management, and monitoring of ML/DL models in all stages leading to production. - Design and implement systems for Dataset and Label Management, including versioning and integrating customer feedback into labeling workflows. - Establish and maintain a robust Model Repository/Registry that supports versioning, local inference, and model lineage. - Lead the implementation of advanced Experiment Tracking and Monitoring solutions for both Data Science and Generative AI, focusing on evaluation, data drift detection, and model reproducibility. - Own model serving and inference systems—including autoscaling, A/B testing, canary rollouts, and latency/cost optimization for production models. - Enable specialized infrastructure for Generative AI capabilities, including tagging tools, prompt management, and LLM testing services. - Drive operational excellence by improving tool deployment usability and implementing granular cost visibility across projects and environments. - Develop reusable components such as standardized data loaders, CI/CD pipelines, and automated workflows for tasks like model retraining. - Collaborate directly with Data Scientists and the rest of the Data Platform Engineering team to productionize ML/DL models developed for cloud environments. Qualifications - B.Sc. or M.Sc. in Computer Science or Software Engineering or related field - Experienced with ML/DL workflows and their best practices - Experienced with CI/CD workflows and their best practices - Worked with public cloud (AWS/Azure/GCP) - Experienced with Python and Java - Experience with various data stores like Postgres, MongoDB, Redis - Experience with DS tools such as MLFlow, Langfuse, SageMaker, etc. - Experience with Spark - Experience with PyTorch/TensorFlow Benefits - Flexible work arrangements. - 15 working days per year as Non-Operational Allowance for personal recreation, fully compensated. - Health insurance. - Public holidays. - Truly competitive salary. - Supportive HR and management team.

• Data Analysis & Reporting: Extract, clean, and analyze performance data across the product. Identify trends, winning variants, and underperforming segments by yield, RPM, and engagement, and report findings clearly to stakeholders. • Test Design & Tracking: Design statistically sound A/B tests, track them end to end, and drive each to a clear, data-backed verdict. (Test deployment on-platform is straightforward and fully supported — no engineering required.) • Feed & Segment Optimization: Diagnose underperforming segments, root-cause the drivers from the data, and recommend optimizations validated against test results. • Competitor Intelligence: Use spy tools and manual research to study competitor landers, funnels, and structures, and translate observations into testable hypotheses. (Training provided.) • Monitoring & Anomaly Detection: Build and maintain dashboards and automated monitors over live activity; investigate performance anomalies and irregularities in the data. • Traffic & Behavior Analysis: Analyze traffic patterns and user behavior to flag bots, synthetic sessions, or irregular activity that could affect performance or compliance. Compliance Awareness: Help keep creatives, landers, and feeds aligned with Google AdSense policies, escalating compliance risks early. (Policy guidance provided.)

• Searching for passive candidates using various sources, including LinkedIn, Google search, ATS, and other tools; • Stay up-to-date with industry trends and best practices for lead generation; • Perform active search for specified vacancies; • Work with various sources, choose the optimal tools and platforms to search for candidates; • Perform initial communication and building trust with candidates; • Evaluate candidates’ СVs; • Work in close collaboration within the Recruitment Team; • Work with the ATS (correct and timely filing, updating data, extension etc.); • Market research and analysis (of salaries, technologies, main competitors etc.), prepare various reports.

• Design and implement streaming and batch data pipelines for data integration, ingestion, data quality management (quality gating), transformations, and auditing. • Perform feature engineering and data exploration. • Collaborate with business and operations teams to align on requirements, and to request and standardize waveform/sensor data. • Build and maintain the Gold data layer, key KPIs, and PoC evaluation frameworks. • Set up and maintain solid engineering practices, including CI/CD pipelines, Infrastructure as Code (IaC), version control (Git), unit and integration testing, and proper documentation.

Role Description We are currently seeking a Strong Junior Talent Sourcer to enhance our team. Working in our Recruitment Department, you'll gain valuable insights that will empower you to tackle complex tasks with confidence. You'll have the chance to work with diverse vacancies, technologies, and clients, all within an environment that offers an opportunity to influence sourcing processes. If you're ready to join our professional community and take the next step in your career, we encourage you to reach out to us! Qualifications - 1+ years of experience in sourcing candidates, either in an agency or in-house - Hands-on experience with sourcing techniques (e.g. recruiting on social platforms and crafting Boolean search strings) - Good understanding of IT Market and technical positions - Experience in both outstaffing and outsourcing models - Strong communication skills in English, with proficiency at a Strong Intermediate level or above - Result orientation and desire to learn - Strong self-motivation and self-learning skills, desire to grow and take on leadership - Ability to prioritize, analyze and meet deadlines in a fast-paced environment - Ability to work independently and as part of a team - Excellent communication, presentation, and negotiation skills Requirements - Good understanding of the European job market and the ability to source candidates across Europe - Experience in recruiting for data-related positions - Experience working with Workable ATS Responsibilities - Searching for passive candidates using various sources, including LinkedIn, Google search, ATS, and other tools - Stay up-to-date with industry trends and best practices for lead generation - Perform active search for specified vacancies - Work with various sources, choose the optimal tools and platforms to search for candidates - Perform initial communication and building trust with candidates - Evaluate candidates’ CVs - Work in close collaboration within the Recruitment Team - Work with the ATS (correct and timely filing, updating data, extension etc.) - Market research and analysis (of salaries, technologies, main competitors etc.), prepare various reports Benefits - Unlimited vacation and sick-leave - Health insurance with premium level clinics in Ukraine - Sessions with a psychologist - Speaking clubs - Workation activities - Opportunities for personal and professional growth in global environment - Flexible working schedule and opportunity to work remotely - Bookkeeping by a professional accountant in Ukraine

• Analyze large and complex data to discover hidden patterns and opportunities; • Develop and own end-to-end highly scalable data pipelines; • Develop state-of-the-art machine learning models, and algorithms and build solutions in monetization fields; • Provisioning data models for real-time (online) processing; • Shape new data products, and constantly improve the existing products; • Collaborate with multiple teams including Product, BI, Analysts, DevOps, R&D and Marketing to lead and accomplish overall solutions; • Oversee a complete release to production, including analyzing requirements, testing, monitoring and measuring results, multitasking, and quickly responding to critical issues.

Role Description If you’re a talented Data Scientist looking to be part of a fast-growing, innovative R&D team, shape the future of decision-making in business, work on cutting-edge technologies and vast amounts of global real-time data, affect billions of mobile users, and become an industry leader - then let’s talk! Start.io is a mobile data platform that enables organizations to uncover insights and make data-driven decisions that enhance strategies and drive growth. We are seeking a Senior Data Scientist to join our Data Science & Engineering team. - Analyze large and complex data to discover hidden patterns and opportunities; - Develop and own end-to-end highly scalable data pipelines; - Develop state-of-the-art machine learning models, and algorithms and build solutions in monetization fields; - Provisioning data models for real-time (online) processing; - Shape new data products, and constantly improve the existing products; - Collaborate with multiple teams including Product, BI, Analysts, DevOps, R&D and Marketing to lead and accomplish overall solutions; - Oversee a complete release to production, including analyzing requirements, testing, monitoring and measuring results, multitasking, and quickly responding to critical issues. Qualifications - B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields; - 6 years as a Data Scientist - a strong background in ML concepts and models; - Hands-on experience with Python, especially with data science ML libraries (regression & classification algorithms e.g. XGB or LGBM, recommendation system algorithms, etc.); - Understanding of databases and SQL for data retrieval; - Monitoring and alerting tools (e.g. Grafana, Kibana). Requirements - Knowledge in the programmatic advertising landscape – DSPs, SSPs, exchanges – significant advantage; - Experience with relational (e.g. Vertica, VoltDB) and non-relational (e.g. MongoDB) databases; - Experience with PMML. Benefits - Help and support from our caring HR team; - 20 days of vacation; - The exchange of experience and work with talented colleagues; - Last but not least - valuable compensation for your efforts.

• Join our team as a React Native Developer. • Develop mobile applications using React Native. • Collaborate with other developers and team members. • Review code and mentor junior developers. • Enhance existing applications and systems to improve performance. • Participate in Agile development processes and ensure timely delivery of projects.

Role Description We are looking for a seasoned React Native Developer to join our team. Qualifications - Proven experience with React Native for mobile app development, including the New Architecture (Fabric, JSI, TurboModules). - Strong portfolio demonstrating development of complex, large-scale apps. - In-depth understanding of client-server architectures with RESTful APIs. - Experience with Expo and the managed/bare workflow ecosystem. - Familiarity with multimedia processing (audio/video handling) is a plus. - Proficient in TypeScript and modern front-end technologies. - Experience with state management (Redux Toolkit, Zustand, or similar) and navigation frameworks (React Navigation, Expo Router). - Knowledge of native module integration and performance optimization, including profiling with Hermes and identifying render bottlenecks. - Performs meaningful unit and integration tests. Experience with Jest and React Native Testing Library is a plus. - Actively uses AI coding tools (e.g., Cursor, Claude) to accelerate development. - Critically reviews and tests AI-generated code before committing. Requirements - Demonstrates a bias toward shipping: breaks work into small, reviewable increments and moves features from spec to working code quickly. - Comfortable making pragmatic tradeoffs; knows when “good enough now” beats “perfect later.” - Strong written English; comfortable in async, remote-first environments. - Proactively surfaces blockers: communicates problems clearly and early, proposes solutions or asks a specific question. Never goes silent on a problem for hours. - Experience in agile environments; comfortable with short feedback loops and scope changes. - Problem-solving mindset with attention to detail and code quality. - Self-directed and organized; manages priorities without needing close supervision. - Proficient with Git, including branching strategies and code review practices. Benefits - Help and support from our caring HR team. - 20 days of vacation + 10 days of sick leave. - The exchange of experience and work with talented colleagues. - Last but not least - valuable compensation for your efforts.

Role Description We are looking for an experienced Product Manager to join a global product team and drive the strategy, development, and growth of SDK monetization solutions within the AdTech ecosystem. This role requires a strong understanding of programmatic advertising, mobile monetization, and cross-functional product leadership. - Own and lead the SDK monetization product roadmap and strategy. - Drive product development from discovery to launch and optimization. - Collaborate closely with Engineering, Sales, Marketing, Customer Success, and other stakeholders. - Gather customer feedback and market insights to define product requirements and priorities. - Translate business and technical needs into clear product specifications. - Monitor product performance and make data-driven decisions. - Stay up to date with industry trends, market changes, and monetization innovations. Qualifications - 4+ years of Product Management experience. - Strong background in AdTech, preferably with SSP, DSP, or mobile monetization products. - Experience working with Agile/Scrum methodologies. - Hands-on experience writing PRDs and user stories. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. - Fluent English. Requirements - Experience with programmatic advertising, oRTB, Header Bidding, or Prebid. - Understanding of in-app bidding, mediation platforms, and monetization standards. - Experience with CTV monetization. - Ability to write and work with basic SQL queries. Benefits - Help and support from our caring HR team. - 20 days of paid vacation. - The exchange of experience and work with talented colleagues. - Valuable compensation for your efforts. - Opportunities for professional growth in an international environment.