Machine Learning Ops Engineer in Edge One Solutions Sp. z o.o.

About the client
Our client is one of the world's largest electronics companies. The headquarters is located in Seoul, South Korea. It is a leading innovator in the field of technology, specializing in many areas, including consumer electronics, industrial electronics, telecommunications, IT and chemistry. One of the key areas of our client's business is consumer electronics, in which the company is known for producing high-quality devices such as telephones, televisions, washing machines, refrigerators and other household appliances.

About the project
The aim of the project is to develop an advertising ecosystem covering hundreds of millions of smart TV, mobile, stationary devices and more. A deep understanding of consumers and an unrivaled position at the intersection of hardware, software and advertising delivers measurable results for brands on a massive scale. With the largest single source of TV data on the market, reaching 3 in 4 U.S. households, the system opens up unparalleled opportunities to engage consumers in the moments that matter when connectivity is available.

Work mode
Hybrid work.

How will we take care of you? 

• You will receive comprehensive support from the Service Delivery Manager, who will support the development of your career ,
• We will help you develop soft skills - Employer Advocacy Program, Club of Serious Scrum Masters,
• We will give you the opportunity to change the #SmartChange project, and after its completion, we will find a new one,
• We will also guarantee entertainment - integration outings, sports events, webinars #edge1talks and many others,
• We like to support passions, which is why we co-finance the initiatives of our employees (e.g. Złombol) #edgeneration ,
• We also encourage you to practice sports by helping to organize clubs or renting rooms,
• Health is the most important , so we provide private medical care, a sports card, insurance and the possibility of psychological consultations (HearMe).

• Higher education in IT or related field,
• At least 2 years of previous experience working with microservices,
• Experience in infrastructure as code (Terraform), cloud solutions and orchestration tools (e.g. AWS, Sagemaker, Airflow, AWS Step/Lambda),
• Knowledge of CI/CD (e.g. Github Actions), ETL, Big Data tools and major 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).
• Commercial experience in Python, Go or other OOP language.
• Experience with distributed cache systems such as Redis/Aerospike.

Additionally (welcome):

• Experience in designing system architecture for machine learning,
• Knowledge of technologiesML support such as Seldon, Triton, ONNX, ONCL, TensorRT.

You don't meet all the requirements, but the project interests you? Don't hesitate and apply. Let's talk! 

About the client
Our client is one of the world's largest electronics companies. The headquarters is located in Seoul, South Korea. It is a leading innovator in the field of technology, specializing in many areas, including consumer electronics, industrial electronics, telecommunications, IT and chemistry. One of the key areas of our client's business is consumer electronics, in which the company is known for producing high-quality devices such as telephones, televisions, washing machines, refrigerators and other household appliances.

About the project
The aim of the project is to develop an advertising ecosystem covering hundreds of millions of smart TV, mobile, stationary devices and more. A deep understanding of consumers and an unrivaled position at the intersection of hardware, software and advertising delivers measurable results for brands on a massive scale. With the largest single source of TV data on the market, reaching 3 in 4 U.S. households, the system opens up unparalleled opportunities to engage consumers in the moments that matter when connectivity is available.

Work mode
Hybrid work.

How will we take care of you? 

• You will receive comprehensive support from the Service Delivery Manager, who will support the development of your career ,
• We will help you develop soft skills - Employer Advocacy Program, Club of Serious Scrum Masters,
• We will give you the opportunity to change the #SmartChange project, and after its completion, we will find a new one,
• We will also guarantee entertainment - integration outings, sports events, webinars #edge1talks and many others,
• We like to support passions, which is why we co-finance the initiatives of our employees (e.g. Złombol) #edgeneration ,
• We also encourage you to practice sports by helping to organize clubs or renting rooms,
• Health is the most important , so we provide private medical care, a sports card, insurance and the possibility of psychological consultations (HearMe).
,[Designing and developing a highly scalable machine learning infrastructure supporting high throughput and low latency, ,Managing model versions and ensuring the right version is delivered to customers. ,Implementing a rollback mechanism in case of problems with the ,current version of the model, ,Monitoring the performance of ,implemented models, addressing issues such as conceptual drift, ,data drift and model degradation over time. , Identification and solving problems on an ongoing basis, ensuring system stability and responsiveness, , Development, testing, implementation and maintenance of data and training pipelines of models supporting ML products. , Integration of model serving infrastructure with other systems, such as data pipelines, monitoring tools and alert systems, , Constant review and optimization of the serving systeming ML models, , Researching the latest technologies for serving ML models (e.g. model compilers, GPU implementation and inference as a service) and following trends and industry developments, , Experimenting with new scalable ML model serving architectures tailored to the environment and creating quick prototypes / proof-of-concepts, , Simplify model deployment, unit testing, integration testing, load testing and shadow testing, , Collaborate with ML engineers to deploy and serve production, advanced machine learning models at scale. ] Вимоги: Microservices, Terraform, AWS, Airflow, AWS Lambda, GitHub Actions, ETL, Big Data, Spark, Flink, Kafka, Unix, Linux, Shell, Docker, Kubernetes, TensorFlow, PyTorch, Prometheus, Grafana, Python, OOP, Redis, Aerospike Database, Machine learning, Seldon, Triton, ONNX, ONCL, TensorRT Інструменти: Agile, Scrum. Bonus information: Sport subscription, Training budget, Private healthcare, Flat structure, International projects, English classes, Multisport, Integration events, Friendly atmosphere, Free coffee, Bike parking, Modern office, Playroom, Free beverages, Free snacks.