Data Engineer (MLOps)


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.


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.



  • 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 and career development


Are you interested?

We are looking forward to your application!

For further information about the opportunity or to apply, please contact us via



Thank you in advance for your application. After reviewing all the applications, we will only contact the candidates who fulfill the requirements for this position. So, if you don’t receive a contact in the next 15 days, we will keep your application for future opportunities that fit your profile.


Data Science Portugal retains the right to refuse to post jobs from any employer or any organization that do not support the interests and values of Data Science Portugal and its community.

Postings are based on the information provided by the employer and is of their entire responsibility.

Data Science Portugal makes no guarantee about positions listed and is not responsible for safety,wages, working conditions, or other aspects of employment. It is the responsibility of each individual job seeker to research the integrity of the organization(s) to which he/she is applying and to verify the specific information pertaining to the job posting. Job seekers should exercise due diligence and use common sense and caution when applying for or accepting any position.

We will not post jobs that appear to discriminate against applicants on the basis of race, color, religion, creed, age, national origin, sexual orientation, disability, or gender.

To apply for this job email your details to