Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Machine Learing
Python
AWS
Flask
Spark
Scala
Job Details
Position: Sr Engineer - MLOps Platform on AWS
Location: Costa Mesa, CA // San Jose, CA
Duration: 12+ Months
Job Description
Job Description
Role Summary
Design & build backend components of MLOps platform on AWS. - Collaborate with geographically distributed cross-functional teams. - Participate in on-call rotation with the rest of the team to handle production incidents.
Knowledge, Skills and Experience
- Python Programming
- AWS Services
- Flask
- Spark Programming knowledge (Pyspark/Scala)
- Async Programming
- boto3
Must Have Skills:
- Must have 5 to 9 years of working experience in Python programming with flask, FastAPI
- Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.
- Experience with concurrent programming designs such as AsyncIO.
- Experience with unit and functional testing frameworks.
- Experience with any of the public cloud platforms like AWS, Azure, Google Cloud Platform, preferably AWS.
- Experience with CI/CD practices, tools, and frameworks.
- Should be a team player working with Cross Geography team
Nice to have skills:
- Experience with Apache Kafka and developing Kafka client applications in Python.
- Experience with MLOps platforms such as AWS Sagemaker, Kubeflow or MLflow.
- Experience with big data processing frameworks, preferably Apache Spark.
- Experience with container platforms such as AWS ECS or AWS EKS.
- Experience with DevOps & IAC tools such as Terraform, Jenkins etc.
- Experience with various Python packaging options such as Wheel, PEX or Conda.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.