Middle ML Ops Engineer

We are looking for a Middle-level ML Ops Engineer to join an ongoing project with a Financial Services company based in New York. You will support the internal team by handling infrastructure tasks and routine ML Ops work.

Requirements:

• Solid experience with Google Cloud Platform (GCP)
• Proficiency with Vertex AI and BigQuery
• Hands-on experience deploying and supporting ML models
• Understanding of MLOps best practices and automation tools

• Good communication skills and the ability to work in a distributed team

   

Responsibilities:

• Build and maintain ML and data pipelines on GCP
• Manage and preprocess large volumes of text data
• Deploy machine learning models in both real-time and batch environments
• Support and optimize infrastructure for ML workflows in Vertex AI and BigQuery

• Collaborate with the client’s full-time engineers and ensure smooth handoffs

   

Overlap requirements: daily overlap up to 2PM EST (8PM CET)

Working conditions and benefits:

• Paid vacation, sick leave (without sickness list)
• Official state holidays — 11 days considered public holidays
• Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support program (Discount, Care, Health, Legal compensation)
• Paid external training, conferences, and professional certification that meet the company’s business goals
• Internal workshops & seminars

• Corporate library (Paper/E-books) and internal English classes

   

Step into your future — apply now 🚀