Senior MLOps Engineer (Remote)

26900-33600 PLN miesięcznie (B2B)

Speedapp sp. z o.o.

Czym będziesz się zajmować?

Your Responsibilities:
  • Design and develop highly scalable machine learning infrastructure to support high throughput and low latency
  • Serve ML models to downstream applications
  • Manage model versions and ensure that the correct version is served to clients. Implement a rollback mechanism in case of issues with the current model version
  • Implement monitoring and observability tools to track the performance, health, and usage of the platform and its components
  • Develop, test, deploy, and maintain data and model training pipelines to support our ML products
  • Integrate the serving infrastructure with other systems, such as data pipelines, monitoring tools, and alerting systems
  • Constantly review and optimize the ML serving system
  • Experiment with new scalable machine learning serving architectures tailored to our environment and create quick prototypes / proof-of-concepts
  • Streamline model deployment, unit testing, integration testing, stress testing and shadow testing
  • Enhance the online A/B testing framework
  • Work with ML engineers to deploy and serve production-grade, state-of-the-art machine learning models at scale
  • Depending of your skills and experience you will have a chance to technically lead people

Kogo poszukujemy?

Your skills and expertise:
  • Degree in Computer Science or related fields
  • At least 5 years of proven industry experience in microservices
  • Experience with Infrastructure as Code (Terraform), cloud solutions and orchestration tools (e.g.: AWS, Sagemaker, Airflow, AWS Step/Lambda)
  • Familiarity with CI/CD (e.g.: Github Actions), ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Unix/Linux with shell, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.)
  • Experience working with real time monitoring/alerting components (e.g., Prometheus/ Grafana)
  • Experience in Python, Go or other OOP languages
  • Experience with distributed cache systems, e.g., Redis/Aerospike. 
Nice to have
  • At least 5 years of industry experience in low latency, high throughput distributed microservices and integration e.g. WS/REST
  • Extensive experience with system architecture design for machine learning
  • Knowledge on testing frameworks for online A/B testing, canary, blue-green deployment
  • Knowledge about ML serving technologies, such as Seldon, Triton, ONNX, ONCL, TensorRT
  • Experience with the advertising industry, recommendation systems or real-time bidding (RTB) ecosystem

Czego wymagamy?

Znajomości:
Języki:
  • Angielski
  • Polski

Jakie warunki i benefity otrzymasz?

  • 160-200 PLN godzinowo (B2B)
  • B2B - Stałe godziny pracy (100%)
  • Praca zdalna: Możliwa w całości
  • Pakiet medyczny, Ubezpieczenie, Pakiet sportowy

Gdzie będziesz pracował?

Bracka 25, Warszawa lub zdalnie

Kim jesteśmy?

SpeedApp to innowacyjna, szybko rozwijająca się organizacja ekspertów w dziedzinie IT i rynku pracy. Specjalizujemy się w trzech obszarach: outsourcingu specjalistów IT, rekrutacjach IT oraz realizacji projektów IT. Wychodzimy ponad nasze standardy w poszukiwaniu lepszych rozwiązań. Działamy szybko i odważnie. Jesteśmy rzetelnym partnerem dla naszych kandydatów i klientów.