ML Engineer with Databricks

🚨 Hiring Now: ML Engineer with Databricks 📍 Location: Winston-Salem, NC (Onsite | In-Person Interview Required) 🕒 Duration: Long-term project with a leading enterprise We’re looking for a Databricks & MLOps Engineer with 8+ years of experience in machine learning operations, model lifecycle management, and cloud-based data platforms. The ideal candidate has deep hands-on experience with Databricks, MLflow, CI/CD, and orchestration tools—and is comfortable working across Azure, AWS, or GCP. 🔧 Key Responsibilities: Databricks ML Platform Development • Build scalable ML pipelines using MLflow, Delta Lake, and Feature Store • Optimize model training, versioning, and deployment via Databricks Jobs & Workflows • Create reusable notebooks and libraries for training, testing, and inference MLOps & Model Deployment • Implement CI/CD pipelines with Databricks Repos, GitHub Actions, Jenkins, or Azure DevOps • Automate deployments via MLflow Model Registry, REST APIs, or Databricks Model Serving • Monitor model drift, performance, and retraining workflows Cloud & Infrastructure Management • Deploy solutions in Azure (Databricks, AKS), AWS (SageMaker, EMR), or GCP (Vertex AI, GKE) • Containerize ML workloads using Docker and Kubernetes • Manage IAM roles, security policies, and cross-cloud access Orchestration & Data Pipelines • Migrate ML workflows from Airflow, Cloud Composer, or Step Functions to Databricks Jobs • Integrate with data engineering pipelines on Delta Lake and Apache Spark Monitoring & Observability • Track data & model lineage with Unity Catalog and MLflow • Automate alerts for model failure, drift, and cost performance ✅ Tech Stack & Skills: • Python, SQL, PySpark • Databricks, MLflow, Delta Lake • Airflow, MLOps, CI/CD • Azure, AWS, GCP, Docker, Kubernetes • Vertex AI, SageMaker, AKS 📩 Interested or know someone perfect for this role? DM me or send your resume to venkat@staffworxs.com