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Senior ML Engineer / MLOps Engineer at EXL Talent Acquisition Team
, , United States -
Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

MLOps, Python, SQL, Scikit-learn, TensorFlow, PyTorch, AWS, GCP, Docker, Kubernetes, CI/CD, MLflow, Prometheus, Grafana, Model Monitoring, NLP

Industry

Business Consulting and Services

Description
We are seeking a highly capable Senior ML Engineer / MLOps Engineer with strong experience in building, deploying, and scaling machine learning systems in production. The ideal candidate will have hands-on expertise across the end-to-end ML lifecycle, including data pipelines, model development, deployment, and monitoring, along with a strong foundation in cloud-native architectures. This role requires close collaboration with data scientists and stakeholders to operationalize ML models for business-critical use cases such as personalization, recommendations, and NLP, while ensuring scalability, reliability, and performance in production environments.
Responsibilities
Build, deploy, and scale end-to-end machine learning systems in production environments. Collaborate with data scientists to operationalize models for personalization, recommendations, and NLP use cases.