MLOps Engineer in Samsung Ads Project
Miejsce pracy : Warszawa
Technologies we use
Expected
- Terraform
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- Redis
- Prometheus
- Grafana
- Python
- Kafka
- Spark
- Flink
- Unix
- Linux
Optional
ProtobufFlatBuffersTensorRTSeldonONNXCap’n ProtoOperating system
LinuxAbout the project
Samsung Ads is an advanced advertising ecosystem, spanning hundreds of millions of smart devices across TV, mobile, desktop, and beyond. The project we are recruiting for is focused on enabling brands to connect with Samsung TV audiences building the world’s smartest advertising platform. We use machine learning algorithms for advertising campaigns to enhance targeting, personalization, and optimization. The goal is to deliver the right message to the right audience at the right time, resulting in higher engagement rates and conversion rates.
Audience building is a crucial aspect of effective marketing, especially in today's digital landscape where targeting specific groups of people is essential for success.
During project on-boarding process you will understand our products and services to easily identify the ideal customer persona, considering factors such as demographics, psychographics, and purchasing power.
Being part of an international company such as Samsung you will get to work on the most challenging projects with stakeholders and teams located around the globe.
You will deeply dive into Samsung Advertising Galaxy working with such exciting domains like bidding, pacing and performance-based advertising, as well as recommendations and churn prediction / prevention.
As a MLOps engineer of the Samsung Ads team, you will have access to unique Samsung proprietary data to address existing product challenges and build end-to-end solutions with real-world impact. You will also work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies.
In conclusion, your responsibility will be designing, setting up and administering infrastructure for deploying, monitoring, and maintaining ML models.
Technologies in use
PythonGolangRESTSparkSnowflake / SnowparkGithub ActionsArgoCDAirflowKubernetesGrafana / PrometheusTerraformTensorFlowPyTorchHadoopAerospike / RedisYour responsibilities
Design and develop highly scalable machine learning infrastructure to support high throughput and low latency.Serve ML models to downstream applications, ensuring that they are accessible, scalable, and secure.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. Monitor the performance of the deployed models, addressing issues such as concept drift, data drift, and model degradation over time. Identify and resolve issues promptly, ensuring that the system remains stable and responsive.Develop, test, deploy, and maintain data and model training pipelines to support our ML productsIntegrate the serving infrastructure with other systems, such as data pipelines, monitoring tools, and alerting systems. Ensure seamless communication and coordination among these systems.Constantly review and optimize the ML serving system. Strive to improve efficiency, reliability, and speed, looking for opportunities to simplify and automate tasks while maintaining high standards of quality.Research the latest machine learning serving technologies (e.g., model compilers, GPU deployment, and inference as a service), and keep up-to-date with industry trends and developments.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 frameworkWork 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 peopleOur requirements
Degree in Computer Science or related fields.At least 2 years of proven industry experience in microservices.Experience with Infrastructure as Code (Terraform), cloud solutions and orchestration tools (AWS e.g. Sagemaker, Airflow MWAA, Step / Lambda, EC2, EMR).Familiarity with CI / CD (e.g. : Github Actions, ArgoCD), ETL, big data tools, mainstream ML frameworks (e.g., MapReduce, Spark, Flink, Kafka, Unix / Linux with shell, Docker, Kubernetes, TensorFlow, PyTorch, etc.) and communication protocols (gRPC, HTTP2.0).Experience working with real time monitoring / alerting components (e.g., Prometheus / Grafana / AWS Quicksight).Experience in Python and Go (preferable).Experience with distributed cache systems, e.g., Redis / Aerospike.Optional
At least 3 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.Knowledge of other OOP languagesKnowledge of SQL scriptingKnowledge of serialization protocols (Protobuf, FlatBuffers, Cap’n Proto)This is how we work on a project
integration testsperformance teststesting environmentsunit testsWhat we offer
Friendly atmosphere focused on teamworkWide range of trainings and a huge support in developing algorithmic skillsOpportunity to work in multiple projectsWorking with the latest technologies on the marketMonthly integration budgetPossibility to attend local and foreign conferencesFlexible working hoursPC workstation / Laptop + 2 external monitorsOS : Windows or LinuxPrivate medical care (possibility to add family members for free)Multisport cardLife insuranceLunch cardVariety of discounts (Samsung products, theaters, restaurants)Unlimited free access to Copernicus Science Center for you and your friendsPossibility to test new Samsung productsOffice in Warsaw Spire / Quattro Business ParkVery attractive relocation packageBenefits
sharing the costs of sports activitiesprivate medical caresharing the costs of foreign language classeslife insurancecorporate products and services at discounted pricesintegration eventsdental careno dress codeleisure zonepre-paid cardsbaby layettecharity initiativesunlimited free access to Copernicus Science Centermentoring programpsychological supportpossibility to test new Samsung productsSamsung R&D Institute Poland
If you share our faith in the power of technology that changes reality, you work with passion, you have a curiosity about the world and you still want to learn - this is the place for you, and we know what types of working conditions to create to foster your development. We are looking for people who can turn bold visions of the future into projects and products that will serve millions of people around the world.
