Remote ML Ops Lead: Deploy & Scale AI Pipelines

Brixio; Remote; USD 16,000 - 28,000; Full time

Job summary

Join a dynamic and innovative team as a Machine Learning Operations Engineer Team Lead, where you will play a pivotal role in deploying ML models into pipelines for a high-impact project. This remote position offers an exciting opportunity to lead a talented group of engineers while collaborating with cross-functional teams to optimize machine learning workflows. Your expertise in Python and cloud platforms like Azure and GCP will be essential in enhancing capabilities and ensuring scalability. If you are passionate about shaping the future of ML infrastructure and leading a dedicated team, this role is perfect for you.

Qualifications

• 3+ years of experience in ML / Ops with proven leadership skills.
• Strong proficiency in Python and cloud platforms for ML workflows.

Responsibilities

• Lead a team in deploying and managing ML models effectively.
• Collaborate with teams to ensure successful deployment of ML solutions.

Skills

Machine Learning Operations

Team Leadership

Python

Cloud Platforms

Communication Skills

Tools

Azure

GCP

Job description

Join a dynamic and innovative team as a Machine Learning Operations Engineer Team Lead, where you will play a pivotal role in deploying ML models into pipelines for a high-impact project. This remote position offers an exciting opportunity to lead a talented group of engineers while collaborating with cross-functional teams to optimize machine learning workflows. Your expertise in Python and cloud platforms like Azure and GCP will be essential in enhancing capabilities and ensuring scalability. If you are passionate about shaping the future of ML infrastructure and leading a dedicated team, this role is perfect for you.