MLOps Engineer

You will

• Create ML pipelines and training infrastructure.
• Optimize the runtime of DL models.
• Apply DL models to resolve customer issues.
• Collaborate with crowd solution Architects and ML Engineers.

We expect you to have

• Minimum of 2+ years of Python programming expertise.
• Expertise in deploying ML models.

It would be an added bonus if you had:

• Knowledge of the following Deep Learning frameworks, tools, and libraries: PyTorch, TensorFlow, TensorRT and Triton Inference Server.
• Understanding of data warehouse concepts and ETL pipelines.

Does all that sound like your kind of challenge? Then join us!