MLOps Engineer

What you'll work on

• Design, implement, and manage MLOps pipelines for deploying machine learning models.
• Collaborate with data scientists and software engineers to integrate machine learning models into production systems.
• Utilize TensorFlow for model development and deployment.
• Containerize applications using Docker and orchestrate them with Kubernetes.
• Monitor and optimize model performance in production environments.
• Implement best practices for version control, CI/CD, and model governance.
• Stay updated with the latest trends and technologies in MLOps and AI/ML engineering.
• Provide technical guidance and support to team members.

What we're looking for

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5 to 7 years of relevant experience in MLOps or AI/ML engineering.
• Strong communication skills and ability to work collaboratively in a team.
• Proven track record of successfully deploying machine learning models in production.

*Notes*
:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.*
**Benefits*
: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.*
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.