ML/Prompt Engineer

Machine Learning Engineer

Job Description: Pay Range: $55hr - $60hr Responsibilities:

• Design and implement CI/CD pipelines for ML workflows using Databricks and other tools.
• Automate model training, validation, deployment, and monitoring processes.
• Collaborate with data scientists to productionize ML models and ensure reproducibility.
• Manage and optimize Databricks clusters, jobs, and workflows.
• Implement model versioning, experiment tracking, and performance monitoring.
• Ensure compliance with data governance, security, and privacy standards.
• Troubleshoot and resolve issues in ML pipelines and infrastructure.
• Contribute to the development of internal MLOps best practices and documentation.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience with strong MLOps skills or with ML engineering roles
• Strong experience with Databricks, including notebooks, jobs, Delta Lake, and MLflow.
• Proficiency in Python and familiarity with ML libraries (TensorFlow, PyTorch).
• Experience with Azure cloud platform.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus.
• Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps).
• Strong understanding of data pipelines, ETL processes, and data engineering principles.
• Databricks certification (e.g., Databricks Certified Machine Learning Professional).
• Experience with feature stores, model registries, and monitoring tools.
• Knowledge of Spark and distributed computing concepts.
• Familiarity with infrastructure-as-code tools (e.g., Terraform).