MLOps

Company:IT Services Organization

Key Skills: Databricks, SQL, Pytorch, Python, Tensorflow, SSRS

Roles and Responsibilities:

Convert data science Proof-of-Concept solutions into production-grade, automated pipelines hosted in Databricks (Cloud).

Implement CI/CD, model deployment automation, and MLOps best practices.

Build scalable data and model pipelines, ensuring reliability and observability.

Monitor model and pipeline performance; implement alerting and issue remediation.

Maintain and enhance existing production tools and ML workloads.

Ensure alignment with EM Enterprise AI standards, architecture guidelines, and security requirements.

Collaborate with Data Scientists and platform teams to ensure seamless migration and sustainment.

Implement CI/CD pipelines for data workflows and analytics applications in AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn) and build end-to-end ML pipelines.

Skills Required:

Strong proficiency in PyTorch and TensorFlow for model implementation

Expertise in Python programming and SQL for data manipulation and pipelines

Experience with Databricks for scalable production ML pipelines

Knowledge of classical ML techniques: regression, classification, and time series analysis

Implementing CI/CD pipelines and MLOps best practices

Monitoring, logging, and performance optimization of ML models and workflows

Familiarity with production tools and maintaining ML workloads

Understanding of enterprise AI architecture standards and security compliance

Collaboration skills to work effectively with Data Scientists and platform teams

Knowledge of SSRS for reporting (nice-to-have)

Education: Any Graduation