Senior MLOps Engineer (Remote, Anywhere in Pakistan, USD Salary)

**Requirements:** * Strong experience with Databricks (Workflows, MLflow, Delta Lake), Apache Spark (batch and streaming), and advanced Python (production\-quality code). * Hands\-on experience with streaming and real\-time data systems. * Proven experience designing and implementing CI/CD pipelines. * Strong understanding of the ML lifecycle (training, deployment, monitoring, and retraining) and building scalable, distributed data and ML pipelines. * Experience with Snowflake, Kubernetes, and Docker. * Experience with Terraform or other Infrastructure as Code (IaC) tools. * Experience with feature stores (e.g., Snowflake Feature Store, Databricks Feature Store) and event\-driven architectures (e.g., Kafka). * Experience with model serving frameworks, low\-latency API development, and LLM deployment/serving. * Experience with monitoring and observability tools (e.g., ELK stack or similar). * Familiarity with A/B testing and experimentation frameworks. * Strong knowledge of RBAC, security, and governance in data/ML platforms. * Experience with cloud environments (Azure preferred). **Responsibilities:** * Design, build, and maintain production\-grade ML pipelines on Databricks. * Operationalize ML models, including deployment, monitoring, and full lifecycle management. * Build and maintain CI/CD pipelines for ML workflows. * Develop and manage real\-time and streaming data pipelines. * Collaborate closely with Data Scientists to efficiently productionize models. * Implement model versioning, experiment tracking, and ensure reproducibility. * Define and enforce ML best practices, governance, and quality standards. * Monitor model performance and data drift, and implement automated retraining strategies. * Optimize performance, scalability, and cost of distributed workloads. * Contribute to platform design for low\-latency inference and scalable model serving.