Machine Learning Operations

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:

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.

For ML/Ops Engineer Position:

1. Strong experience in deploying Machine Learning models.
2. Proficiency in Python for scripting and automation.
3. Hands-on experience with Cloud platforms, particularly Azure and GCP .
4. 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. Job ID: CFE3AD0336