What are the responsibilities and job description for the Sr. Machine Learning Operations (MLOps) Engineer position at Mphasis?

Job Title : Sr. Machine Learning Operations (MLOps) Engineer

Job Location : Westlake, Texas – 5 Days Onsite Role

Fulltime Role with Mphasis,

Note : We are not sponsoring any visa for this role so only visa independent candidate can apply.

Requirements :

Education : Bachelor's degree in Computer Science, Engineering, or a related field.
Experience : 3 years of experience in machine learning operations or a similar role.

Technical Skills :

Proficiency with cloud platforms such as AWS, GCP, or Azure.

Strong experience with container orchestration tools like Kubernetes.

Expertise in implementing CI / CD pipelines for machine learning projects.

Proficient in programming languages such as Python, Java, or C .

Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.

Deep understanding of data pipelines and ETL processes.

Experience with monitoring and alerting tools like Prometheus and Grafana.

Familiarity with automated testing frameworks and deployment processes for ML models.

Solid knowledge of GPU management and optimization for ML workloads.

Proficiency in version control tools such as Git.

Experience with performance tuning and scaling of APIs for ML models.

Familiarity with data versioning and experiment tracking tools like MLflow or DVC.

Soft Skills :

Strong troubleshooting and problem-solving skills in production environments.

Excellent collaboration and communication skills.

Knowledge of security best practices and privacy regulations related to ML systems.

Ability to document processes, system configurations, and code.

Strong analytical and organizational skills.

Demonstrated ability to stay up-to-date with the latest trends, tools, and technologies in ML operations

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What are the responsibilities and job description for the Sr. Machine Learning Operations (MLOps) Engineer position at Mphasis?

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