Globaldev Group

A leading mobile marketing and audience platform, empowers the app ecosystem with cutting-edge solutions in mobile marketing, audience building, and monetization. With integration into over 500,000 monthly active apps and a global reach, the platform leverages first-party data to deliver impactful and scalable advertising solutions.

Our Data Science team is looking for a data enthusiast ML engineer to join and handle batch processing tens of billions of events from billions of users. You’ll have the opportunity to impact on a daily level our data products development in a collaborative culture.

Responsibilities:

• Develop and deploy batch data pipelines processing billions of data signals.
• Support real-time NLP applications.
• Design data flows and develop utilities that allow the team member to work more efficiently.
• Manage data pipelines from and to all of our data sources, such as Vertica and AWS S3.
• Develop CI/CD pipelines.
• Work closely with DS, DA, DevOps, ETL engineers, and product managers.
• Build production-grade LLM and RAG systems for data-driven classification and prediction

Requirements:

• 4 years as a data engineer or ML engineer – A must.
• B.Sc. in engineering, computer science, or other quantitative fields – A must.
• Practical experience with Python and SQL – A must.
• Understanding ML and DL concepts.
• Practical experience with container-based development (e.g., Docker); Kubernetes experience is a plus.
• Experience in the design and development of scalable big data solutions.
• Experience with AWS platform – S3, SQS, etc.
• Experience with PySpark – A Must
• Passion for data and DS workflows, independence and being a team player.

What we offer:

• Polish public holidays.
• 20 working days per year is Non-Operational Allowance and settled to be used for personal recreation matters and are compensated in full. These days have to be used within the year, with no rollover to the next calendar year.
• Health Insurance.
• Gym Subscription (Multisport).

A leading mobile marketing and audience platform, empowers the app ecosystem with cutting-edge solutions in mobile marketing, audience building, and monetization. With integration into over 500,000 monthly active apps and a global reach, the platform leverages first-party data to deliver impactful and scalable advertising solutions.

We’re looking for a highly skilled, independent, and driven Machine Learning Engineer to lead the design and development of our next-generation real-time inference services — the core engine powering algorithmic decision-making at scale. This is a rare opportunity to own the system at the heart of our product, serving billions of daily requests across mobile apps, with tight latency and performance constraints.

You’ll work at the intersection of machine learning, large-scale backend engineering, and business logic, building robust services that blend predictive models with dynamic, engineering logic — all while maintaining extreme performance and reliability requirements.

Description:

• Own and lead the design and development of low-latency Algo inference services handling billions of requests per day.
• Build and scale robust real-time decision-making engines, integrating ML models with business logic under strict SLAs.
• Collaborate closely with DS to deploy models seamlessly and reliably in production.
• Design systems for model versioning, shadowing, and A/B testing at runtime.
• Ensure high availability, scalability, and observability of production systems.
• Continuously optimize latency, throughput, and cost-efficiency using modern tooling and techniques.
• Work independently while interfacing with cross-functional stakeholders from Algo, Infra, Product, Engineering, BA & Business.

Requirements:

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical discipline.
• 5+ years of experience building high-performance backend or ML inference systems.
• Deep expertise in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML).
• Experience with scalable service architecture, message queues (Kafka, Pub/Sub), and async processing.
• Strong understanding of model deployment practices, online/offline feature parity, and real-time monitoring.
• Experience in cloud environments (AWS, GCP, or OCI) and container orchestration (Kubernetes).
• Experience working with in-memory and NoSQL databases (e.g. Aerospike, Redis, Bigtable) to support ultra-fast data access in production-grade ML services.
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and best practices for alerting and diagnostics.
• A strong sense of ownership and the ability to drive solutions end-to-end.
• Passion for performance, clean architecture, and impactful systems.

Why join us?

• Lead the mission-critical inference engine that drives our core product.
• Join a high-caliber Algo group solving real-time, large-scale, high-stakes problems.
• Work on systems where every millisecond matters, and every decision drives real value.
• Enjoy a fast-paced, collaborative, and empowered culture with full ownership of your domain.

What we offer:

• Polish public holidays.
• 20 working days per year is Non-Operational Allowance and settled to be used for personal recreation matters and are compensated in full. These days have to be used within the year, with no rollover to the next calendar year.
• Health Insurance.
• Gym Subscription (Multisport).

A leading mobile marketing and audience platform, empowers the app ecosystem with cutting-edge solutions in mobile marketing, audience building, and monetization. With integration into over 500,000 monthly active apps and a global reach, the platform leverages first-party data to deliver impactful and scalable advertising solutions.

We’re looking for a highly skilled, independent, and driven Machine Learning Engineer to lead the design and development of our next-generation real-time inference services - the core engine powering algorithmic decision-making at scale. This is a rare opportunity to own the system at the heart of our product, serving billions of daily requests across mobile apps, with tight latency and performance constraints.

You’ll work at the intersection of machine learning, large-scale backend engineering, and business logic, building robust services that blend predictive models with dynamic, engineering logic - all while maintaining extreme performance and reliability requirements.

Description:

• Own and lead the design and development of low-latency Algo inference services handling billions of requests per day.
• Build and scale robust real-time decision-making engines, integrating ML models with business logic under strict SLAs.
• Collaborate closely with DS to deploy models seamlessly and reliably in production.
• Design systems for model versioning, shadowing, and A/B testing at runtime.
• Ensure high availability, scalability, and observability of production systems.
• Continuously optimize latency, throughput, and cost-efficiency using modern tooling and techniques.
• Work independently while interfacing with cross-functional stakeholders from Algo, Infra, Product, Engineering, BA & Business.

Requirements:

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical discipline.
• 5+ years of experience building high-performance backend or ML inference systems.
• Deep expertise in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML).
• Experience with scalable service architecture, message queues (Kafka, Pub/Sub), and async processing.
• Strong understanding of model deployment practices, online/offline feature parity, and real-time monitoring.
• Experience in cloud environments (AWS, GCP, or OCI) and container orchestration (Kubernetes).
• Experience working with in-memory and NoSQL databases (e.g. Aerospike, Redis, Bigtable) to support ultra-fast data access in production-grade ML services.
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and best practices for alerting and diagnostics.
• A strong sense of ownership and the ability to drive solutions end-to-end.
• Passion for performance, clean architecture, and impactful systems.

Why join us?

• Lead the mission-critical inference engine that drives our core product.
• Join a high-caliber Algo group solving real-time, large-scale, high-stakes problems.
• Work on systems where every millisecond matters, and every decision drives real value.
• Enjoy a fast-paced, collaborative, and empowered culture with full ownership of your domain.

What we offer:

• Polish public holidays.
• 20 working days per year is Non-Operational Allowance and settled to be used for personal recreation matters and are compensated in full. These days have to be used within the year, with no rollover to the next calendar year.
• Health Insurance.
• Gym Subscription (Multisport).

Our client is a sell-side omnichannel advertising platform powered by real-time mobile audiences. We deliver hundreds of millions of ads per day across thousands of global leading apps and websites. Our platform uses AI to deliver more efficient, effective and precise digital advertising campaigns. Our direct integration with thousands of mobile publishers gives us access to more than 50 billion first-party data signals per day across the globe. Marketers use these anonymized signals to understand and predict consumer behavior, identify new opportunities and fuel business growth.

Requirements

• 4+ years of hands-on experience in Data Engineering
• Experience writing complex queries in SQL – 3 years
• Experience creating complex processes using Python – 2 years
• Analytical and problem-solving skills, ability to translate business requirements into a technical solution
• Self-learner, responsible and independent
• Good understanding of data warehouse, data analytics
• English at a very high level and excellent communication skills

Responsibilities

• Design and develop, and optimize data integration pipelines and data aggregations
• Design and implement data models that support business requirements
• Work closely with business, data, product and tech teams
• Coding in Python and SQL
• Orchestration in Jenkins and Airflow
• End-to-end responsibility for processes – design, develop, test, monitor
• Includes sharing on-call duties with team members in case of production incidents (on call some nights/weekends)

What we offer

• 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