Fulltime only - - Sr. MLOps Engineer - Austin, TX -(Fully onsite)

Sr. MLOps Engineer

Austin, TX - (Fully onsite)

Contractor will provide suitable personnel to perform the ML Engineer role:
10 years' experience
Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.
Operationalize complex machine learning models into production including end to end deployment.
Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .
Working knowledge of standard ML packages like scikit learn, vader sentiment, pandas, pyspark.
Design, Develop and maintain adaptable data pipelines to maintain use case specific data.
Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.
Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.
Support the operationalized models and develop runbooks for maintenance.

Sr. MLOps Engineer - Fulltime only1MLOpsN/AFull TimeUnited States

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.