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

Remote:

Full Remote

Contract:

Fixed term

Experience:

Mid-level (2-5 years)

Work from:

United Arab Emirates, Mali

Offer summary

Qualifications:

At least 3 years experience in ML/Ops or related field, Proven leadership and communication skills.

Key responsabilities:

Lead team in ML model deployment and management
Collaborate with cross-functional teams for successful deployment and provide ongoing support

Brixio Information Technology & Services Scaleup https://brixio.io/

51 - 200 Employees

See more Brixio offers

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.