Senior Machine Learning Engineer

1. Define ML problem statements and data requirements.

2. Build data pipelines ensuring data quality.

3. Train, evaluate, and tune ML and DL models.

4. Deploy models and monitor for drift.

5. Ensure security, privacy, and compliance.

6. Optimize infrastructure performance and cost.

7. Prepare technical documentation and model cards.

8. Collaborate with developers for integration.

9. Recommend improvements in MLOps pipelines.

10. Perform other similar tasks assigned.

11.Bachelor's in Computer Science, AI, or Data Engineering (Master's preferred).

12. Minimum five years in applied ML/AI.

13. Cloud ML certification preferred.

Application Question(s):

• Do you have Bachelor's in Computer Science, AI, or Data Engineering?

Education:

• Master's (Preferred)

Experience:

• ML/AI: 5 years (Preferred)

Language:

• English (Preferred)

License/Certification:

• QID (Preferred)

Work Location: In person