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.
Package Details:
Benefits: Health Insurance/HMO (if residing in Philippines), Paid training, Work from home
Schedule: 8-hour shift (UAE Time: 9:00AM-6:00PM), Flextime Monday to Friday
Supplemental pay types: 13th month salary, Overtime pay, Job ID L68WWV65
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