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ML Ops Engineer

Salary undisclosed

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Tittle: ML Ops Engineer

Location: Remote

Duration: 6+ months

1. Strong proficiency in Python and experience deploying complex Al/ML models in production 2. Experience and knowedge on CICD tools, Docker, laC tools, version control, etc. 3. Experience working with cloud platforms like AWS, and communication systems like Genesys Engage 4. Experience in working on Genesys Engage platform is must 5. Senior consultant with 6-8 years of experience
6. Very good communications skills
7. Strong client facing skills
8. Should have worked on Genesys Engage platform
9. Technically strong who can engage in technical discussions with clients
10. A team player who can gel with multi cultural team

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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