Senior ML Engineer: Real-Time Deployments & Cloud Pipelines

Prestige Staffing; Sandy Springs (GA); Hybrid; USD 160,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and performance bonus

401(k) with company match

Health, dental, and vision plans

Paid parental leave

Health club membership reimbursement

Mental health support subscription

Job summary

A technology staffing firm is seeking a Senior Machine Learning Engineer to join their Data Engineering team. This role involves developing deployment infrastructure for machine learning models and working collaboratively with data scientists and engineers. The ideal candidate will have strong Python development skills and cloud experience, particularly with platforms like Databricks or GCP. This position offers a competitive salary, a bonus, and a hybrid work model requiring two days in the office weekly.

Qualifications

• Strong experience in Python development for machine learning.
• Hands-on experience with cloud platforms like Databricks or GCP.
• Understanding of transitioning research code into production.

Responsibilities

• Develop and maintain infrastructure for deploying ML models.
• Collaborate with engineers to integrate ML services into applications.
• Design and implement CI/CD pipelines for machine learning models.

Skills

Python development

Cloud data science platforms (e.g., Databricks, GCP)

Infrastructure as code tools (Terraform)

CI/CD pipelines

Problem-solving skills

Agile collaboration

Tools

Terraform

Git

Job description

A technology staffing firm is seeking a Senior Machine Learning Engineer to join their Data Engineering team. This role involves developing deployment infrastructure for machine learning models and working collaboratively with data scientists and engineers. The ideal candidate will have strong Python development skills and cloud experience, particularly with platforms like Databricks or GCP. This position offers a competitive salary, a bonus, and a hybrid work model requiring two days in the office weekly.