Machine Learning Engineer
Company: Chewy
Location: Bellevue
Posted on: May 14, 2022
Job Description:
Our Opportunity: Chewy is looking for a - MLOps Engineer,
Marketing Solutions to join the Marketing Science & Operations team
in Bellevue, WA. The ML Ops Data Engineer is responsible for
building and maintaining our machine learning platform to enable
our data scientists in rapid model development. They will work
across the existing tech stack to develop, test, deploy and
maintain ML based software solutions. This role will own the
production process of all the machine learning models that are
widely used across marketing for target optimization purposes. What
You'll Do:
- Lead design and development of the ML Platform (Amazon
Sagemaker) to enable rapid model development, training, and
evaluation at scale
- Deploy and monitor complex ML Models developed by the Marketing
Science Team
- Develop solutions for efficiently performing ML model
experimentation and tuning of the models in production
- Implement end to end highly available and efficient ML Ops and
ETL pipelines in a distributed computing environment
- Establish data engineering processes and best practices to
support the data scientists using the ML Platform
- Work closely with Data Scientists and Engineers In identifying
platform usage and identify opportunities for automation and
improve self service capabilities
- Stay current with industry trends, best practices and tools in
the ML space and champion new solutions internally What You'll
Need:
- Bachelor of Science degree in Computer Science, Information
Systems, or related field
- 5+ years of working in a Data Engineer or Dev Ops role using
cloud-based infrastructure such as AWS, GCP or Azure (AWS
Preferred)
- Hands on experience with Amazon Sagemaker would be a big
plus
- Proficiency in python and strong object-oriented design
skills
- Good understanding of machine learning fundamentals
- Familiarity and working knowledge of workflow orchestration
tools such as Airflow, Luigi or Jenkins
- Familiarity with Kubernetes or other container orchestration
tools in a production setting
- Experience in SQL, data warehouse, performance tuning and ETL
pipelines
- Knowledge on ML practices and production systems
- Hands-on with Cloud computing technology like AWS, Google
Cloud, etc.
- Experience in working with marketing data is a huge plus
- Ability to effectively operate both independently and as part
of a team
- Self-motivated with strong problem-solving and self-learning
skills
- E-com, Retail or startup experience is a plus
- Position may require travel Bonus:
- PyTorch, JavaScript, D3.js & Restful API's
- Snowflake, Vertica, Postgres, etc.
- Exposure to Apache Airflow or other DAG frameworks
- MarTech Knowledge
- Understanding of link tracking, pixels/tags, Google Analytics,
and marketing attribution
- Experience with developing solutions on cloud computing
services and infrastructure with AWS (S3, Athena, Glue,
Lambda)
- Expertise designing and implementing data pipelines using
modern data engineering approach and tools: Spark, PySpark, Java,
Docker, cloud native DWH (Snowflake, Redshift), Kafka/Confluence
etc.
- Experience with CI/CD process and platforms #LI-RK1 - Chewy is
committed to equal opportunity. We value and embrace diversity and
inclusion of all Team Members.
If you have a disability under the Americans with Disabilities Act
or similar law, or you require a religious accommodation, and you
wish to discuss potential accommodations related to applying for
employment at Chewy, please contact HR@chewy.com. -
To access Chewy's Privacy Policy, which contains information
regarding information collected from job applicants and how we use
it, please click here: -
Keywords: Chewy, Bellevue , Machine Learning Engineer, Engineering , Bellevue, Washington
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