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