Data Engineer (MLOps) (M/F)
Landing.Jobs
Lisboa (Distrito de Lisboa)
há 3 dias
source : Empregos Online

Descrição da Função :

About Us At Bose, better sound is just the beginning. We’re passionate engineers, developers, researchers, retailers, marketers and dreamers.

One goal unites us to create products and experiences our customers simply can’t get anywhere else. We are driven to help people reach their fullest human potential.

Creating technology to help people to feel more, do more, and be more. We are highly motivated and curious, and we come to work every day looking to solve real problems and make the best experiences for our customers possible.

The Bose Data Engineering team is responsible for design, development and enhancement of Bose Data Platforms (Analytics & Customer Data Platforms) in leading and supporting Advanced Analytics & AI / ML workloads.

This team is highly impactful and a key enabler of Bose Digital journey by playing a central role in the Data driven transformation.

What you will be working on? As a Data engineer focusing on MLOps you will work closely with our Data Scientists to accelerate the AI / ML lifecycle, from data acquisition and model training to model deployment and monitoring.

As part of an agile delivery team, you will design, develop, deploy and support the AI / ML pipelines, applying MLOps best practices and implementing the necessary integrations with our Data Platform ecosystem.

This role requires knowledge and hands-on experience with large data processing (real-time / batch) and ML technologies such as SageMaker / MLFlow, Spark, Databricks, Snowflake and Python / Airflow.

  • Improve and extend the AI / ML lifecycle, applying MLOps best practices and helping Data Scientists taking their models to production.
  • Design and develop data pipelines for connected devices, web applications, and mobile applications that support the customer experiences.
  • Stay up to date on relevant technologies, plug into user groups, understand trends and opportunities that ensure we are using the best techniques and tools · Collaborate with AWS Cloud Architects to optimize and evaluate scalable and serverless solutions.
  • Work in multi-functional agile teams to continuously experiment, iterate and deliver on new data product objectives. Perks · Highly competitive benefit package · State of the art technological environment · Employee product discounts · Create and shape our local company culture with the support of a fantastic global group · Continuous training
  • Requisitos :

    Qualifications (Demonstrated Competence) · Degree in Computer Science (or equivalent).· Building out a scalable ML pipeline using AWS Sagemaker or MLFlow desirable.

  • Experience building Machine Learning deployment and monitoring pipelines as part of overall MLOps focus in this role · You know how to work with high volume heterogeneous data, preferably with distributed systems.
  • You have a command of various programming languages to collect and manipulate data such as Python, and SQL. · You have worked with a variety of cloud and data solutions, such as : AWS, Snowflake, Kafka, DataBricks, Hadoop, Spark, Airflow.
  • You appreciate agile software processes, data-driven development, reliability, and responsible experimentation. · You have some experience or knowledge implementing data security and privacy in a Cloud environment.
  • Highly Desirable But Not Required Skills Include · Experience with cloud computing (Amazon Web Services preferred) · Experience with implementing Cloud Data Platform with emphasis on building out a Customer 360 platform.

  • Experience using and building out a Graph Database (Neptune or neo4j) · You are knowledgeable about data modeling, data access, and data storage techniques.
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