Sr. Machine Learning Engineer (MLOps)

Job description

Qualifications:

1. Minimum 4 years of hands-on experience in ML, DL, and AI.


2. Strong programming skills in Advanced Python.


3. Proficiency in data preprocessing and model evaluation.


4. Experience with ML Flow, CI/CD, Docker, Kubernetes, Git, ML Studio, Azure Databricks, Azure      ML Studio, DevOps, and Terraform.


5. Knowledge of statistics and machine learning.


6. Experience with Azure ML is a must.


7. Ability to standardize and streamline ML code.


8. Experience in building MLOps pipelines.

Responsibilities:

1. Lead end-to-end machine learning projects.


2. Mentor and guide a team of machine learning engineers.


3. Develop and optimize machine learning algorithms.


4. Clean, preprocess, and transform large datasets.


5. Implement rigorous testing and validation procedures.


6. Collaborate with cross-functional teams for deployment and integration.


7. Stay updated with the latest advancements in ML and AI research.


8. Maintain detailed documentation of models and processes.


9. Collaborate with stakeholders to drive ML adoption across the organization.