Compare your skills with our requirementsMust-have5+ years of experience coding in an industry-standard language - preferably Java (but Kotlin, Scala, or Python is also cool).
Demonstrated interest in machine learning and the advancements in the field, including familiarity with MLOps tools and frameworks.
Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading, and distributed systems.
Experience working with various Big Data technologies and tools (Snowflake, BigQuery, Kafka, Spark, Airflow, DataBricks, Argo) at scale.
Experience working in Docker/Kubernetes and cloud providers (GCP/AWS/Azure).
Result-oriented contributor with a "can do" attitude - take a task from concept to full implementation.
A team player with excellent collaboration and communication skills.
Is a plusHands-on experience with MLOps tools (MLFlow, Ray, Seldon, Kubeflow, Vertex.AI, SageMaker, etc.), ML algorithms and frameworks (PyTorch, TensorFlow, HuggingFace, Sklearn, etc.).
Experience in the AdTech world.
What you will doJoin a team of experienced engineers to build backend infrastructure (data processing jobs, micro-services) and create automated workflows to process large datasets for machine learning purposes.Design and develop MLOps infrastructure to support our ML/AI models at scale, including CI/CD, automation, evaluation, and monitoring.Designing, and implementing solutions that will impact the core components of our system.Develop and maintain scalable distributed systems in a BigData environment using stream processing technologies such as Akka Streams, Kafka Streams, or Spark.The project waiting for youAdTech & BigData projectAdTech & BigData project for a company that works in the area of data analytics, that tracks and analyzes tens of billions of ads daily for major brands like Nike, AT&T, and Disney. The company operates at a massive scale, handling over 100B events per day and over 1M RPS at peak.
We offerWork at an international company that serves high-profile clients like Google, Amazon, Microsoft, Vodafone, etc.Atmosphere of trust and empowerment across key projects and business processes.Best practices around process and team management.Competitive salary and payments in foreign currency — no matter your location.Flexible schedules and work environments: remote work.Medical coverage, paid vacation, sick and family leave, birthday off.Transparency and trust within the team: we encourage employee feedback and organize regular Q&A meetings with top managers.Free corporate English classes.Gamification system with social activity bonuses.
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