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Machine Learning Engineer | Electronics industry in Edge One Solutions Sp. z o.o.

Posted more than 30 days ago

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Edge One Solutions Sp. z o.o.

Edge One Solutions Sp. z o.o.

0
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Without experience
Warsaw
Full-time work

Translated by Google

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, refr

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 from an office in Warsaw or Krakow.

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 subsidize or pay for training, certificates and participation in conferences,
  • We will help in the development of soft skills - Employer Advocacy Program, Club of Serious Scrum Masters,
  • We will give you the opportunity to change the project #SmartChange, and after its completion, we will find a new one,
  • We will also guarantee entertainment - integration outings, sporting events, webinars #edge1talks and many others,
  • We like to support passions, that's why we co-finance the initiatives of our employees (e.g. Złombol) #edgeneration ,
  • We also encourage you to practice sports through help in organizing clubs or renting rooms,
  • Health is the most important, so we provide private medical care, sports card, insurance and the possibility of taking advantage of psychological consultations (HearMe),
  • A nice addition to your salary will be points awarded on the benefit platform to be used according to your needs,
  • Due to many international projects, we encourage you to participate in free English lessons .


  • Higher education in IT or related fields,
  • At least 3 years of experience in design and implementing machine learning systems,
  • Knowledge of CI/CD tools (e.g. Github Actions, Airflow, etc.), ETL or big data (e.g. MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, etc.) ,
  • Knowledge of major ML libraries (e.g. TensorFlow, PyTorch, Spark ML, etc.) and/or cloud solutions (e.g. AWS, Sagemaker, etc.),
  • Python programming skills , Go or other OOP languages,
  • Experience in SQL and databases, including query optimizationSQL,
  • Experience with unit testing frameworks,
  • Knowledge of data structures, algorithms and software engineering principles.
  • Additionally (preferred):

    • Extensive experience with Snowflake, Snowpark and Redis/Aerospike,
    • Experience in the advertising industry, recommendation systems or ecosystem real-time bidding (RTB).

    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 from an office in Warsaw or Krakow.

    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 subsidize or pay for training, certificates and participation in conferences,
    • We will help in the development of soft skills - Employer Advocacy Program, Club of Serious Scrum Masters,
    • We will give you the opportunity to change the project #SmartChange, and after its completion, we will find a new one,
    • We will also guarantee entertainment - integration outings, sporting events, webinars #edge1talks and many others,
    • We like to support passions, that's why we co-finance the initiatives of our employees (e.g. Złombol) #edgeneration ,
    • We also encourage you to practice sports through help in organizing clubs or renting rooms,
    • Health is the most important, so we provide private medical care, sports card, insurance and the possibility of taking advantage of psychological consultations (HearMe),
    • A nice addition to your salary will be points awarded on the benefit platform to be used according to your needs,
    • Due to many international projects, we encourage you to participate in free English lessons .

    ,[Developing, testing, deploying and maintaining data,scalable low-cost machine learning productslatency and pipelines supporting ML products, taking into account factors such as the nature of the data, the complexity of the problem and available computational resources, ,Verifying the model's performance on unseen data, ensuring that the model generalizes well and does not overfit the training data, ,Conducting rigorous testing to identify and address potential issues such as bias or fairness, , Design and develop a next-generation machine learning platform to simultaneously support thousands of model training pipelines and thousands of billions of daily batch forecasts, , Explore the latest boundary-pushing machine learning platform technologies what is currently possible with ML and staying up to date with trends and changes in the industry, , Experimenting with new ML platforms adapted to our environment and creating rapid prototypes/proofs of concept, , Improving the implementation of models, unit tests, integration tests and stress tests and ensuring engineering quality, , Supporting the automation of the ML pipeline using CI/CD principles, promoting consistency, reproducibility and agility, , Collaborating with data scientists to introduce new features of the ML platform, streamlining the model creation process and reducing their production time, , Close collaboration with various internal ML teams (e.g. Data Scientists and MLOps) to improve the health of the code base and product. ] Вимоги: CI/CD, GitHub Actions, Airflow, ETL, Big Data, TensorFlow, PyTorch, Python, Spark, AWS, Sagemaker, SQL, OOP, Git, Flink, Kafka, Docker, Kubernetes, Snowflake, Snowpark, Redis, Aerospike Database, RTB 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.

Translated by Google

Without experience
Warsaw
Full-time work
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