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

Brixio; United Arab Emirates; Remote; AED 200,000 - 300,000; 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

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:

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

Requirements:

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