Match score not available

ML Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
Canada, California (USA), United States

Offer summary

Qualifications:

5+ years of data engineering experience, Experience deploying services in AWS, Skilled in big-data solutions with Databricks, Proficient in building streaming pipelines, Familiar with cloud-hosted databases.

Key responsabilities:

  • Collaborate with ML practitioners and understand data requirements
  • Develop production-grade batch and streaming pipelines
  • Automate ETL jobs using tools like Airflow
  • Improve existing data infrastructure services
  • Mentor colleagues on large-scale solutions
Mainz Brady Group logo
Mainz Brady Group Human Resources, Staffing & Recruiting SME https://www.mbg.com/
51 - 200 Employees
See more Mainz Brady Group offers

Job description

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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mobile Apps
  • Collaboration
  • Mentorship

Machine Learning Engineer Related jobs