Brixio
Dubai, AE
Machine Learning Operations (ML-Ops) Engineer - Team Lead
RemoteOK - Countrywide
February 16, 2024
Salary Range
No salary data
Language Reqirements
Ar:
Not Required
En:
Professional
Minimum Experience
Staff (6 years) or above
Company Description
At Brixio, we're passionate about technology and committed to delivering the highest quality of services. Our core mission is to build bespoke digital solutions that span the entire journey, from design, to deployment, to support. We ensure seamless business applications, reinforced cybersecurity, and optimized cloud infrastructure.…
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.
