Machine Learning Operations (ML/Ops) Engineer – Team Lead

Brixio; United Arab Emirates; Remote; AED 367,000 - 551,000; Full time

Job summary

A dynamic technology firm is seeking a Machine Learning Operations (ML/Ops) Engineer – Team Lead for a remote position. The candidate will lead a team in deploying Machine Learning models into pipelines, collaborate with various teams, and optimize workflows using Python and cloud platforms like Azure and GCP. This role requires at least 3 years of experience in ML/Ops and strong leadership skills.

Qualifications

• At least 3 years of experience in ML/Ops or a related field.
• Strong experience in deploying Machine Learning models.
• Proficiency in Python for scripting and automation.

Responsibilities

• Lead a team of ML/Ops engineers in deploying and managing Machine Learning models.
• Integrate ML models into existing pipelines.
• Collaborate with cross-functional teams to understand project requirements.

Skills

Leadership

Python scripting

Cloud platforms (Azure, GCP)

Machine Learning deployment

Communication skills

Job description

Machine Learning Operations (ML/Ops) Engineer – Team Lead

Location / Work Setup: Remote

About Us

We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client’s ML infrastructure.

Key Responsibilities

• Lead a team of ML/Ops engineers in deploying and managing Machine Learning models.
• Build and enhance capabilities to seamlessly integrate ML models into existing pipelines.
• Collaborate with cross-functional teams to understand project requirements and ensure successful deployment.
• Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency.
• Utilize Python for scripting and automation tasks.
• Work with Cloud platforms, particularly Azure and GCP, to optimize machine learning workflows.

Requirements

• For Team Lead Position:
  • At least 3 years of experience in ML/Ops or a related field.
  • Proven leadership skills with the ability to guide and inspire a team.
  • Excellent communication skills to effectively liaise with clients and internal teams.
• For ML/Ops Engineer Position:
  • Strong experience in deploying Machine Learning models.
  • Proficiency in Python for scripting and automation.
  • Hands-on experience with Cloud platforms, particularly Azure and GCP.
  • Prior experience in addressing scalability and pricing concerns in ML operations.

How to Apply

If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations.

Note: This is a unique opportunity to make a significant impact on a client’s ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.