Our large entertainment client is looking for a ML Engineer for a 3-9 month contract REMOTE opportunity.
Role Overview: As part of the Machine Learning (ML) Engineering team, you’ll work with ML Engineers and Data Scientists to support ML applications using high-quality batch and streaming datasets. You'll engage across the entire ML lifecycle—from exploration to production—while enhancing core infrastructure components to streamline workflows.
Key Responsibilities:
- Collaborate with ML practitioners to understand data requirements.
- Develop and maintain production-grade batch and streaming pipelines.
- Automate ETL jobs using tools like Airflow and Jenkins.
- Improve and extend existing data infrastructure services.
- Conduct data exploration, analysis, and strategy consultation.
- Work in an Agile environment focused on collaboration.
- Mentor colleagues on building large-scale solutions.
Qualifications:
- 5+ years of data engineering experience.
- Experience deploying services in AWS and building big-data solutions using Databricks, EMR, S3, and Spark.
- Proficient in building streaming pipelines with Kafka, Spark, Flink, or Samza.
- Experience with cloud-hosted databases like Redshift and Snowflake.
- Skilled in designing microservices for distributed systems (gRPC or REST).
- Familiar with Apache Airflow or similar graph-based workflows.
Preferred Qualifications:
- Familiarity with ML pipelines and AWS technologies.
- Experience with ML infrastructure and streaming applications.
- Experience shipping entertainment and media applications.
