MLOps Engineer

About reputed company reputed company is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at reputed company, reputed company has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, reputed company brings global AI expertise to transform companies worldwide. Founded in 2013, reputed company is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their reputed company journeys. With offices in North America, Asia, and Latin America, reputed company provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and reputed company. reputed company serves companies in industries such as retail, manufacturing, and government. reputed company continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Type Remote, Full-time Role Summary We are hiring a Senior MLOps Engineer to design, automate, deploy, monitor, and govern production machine learning systems on Azure. The role requires deep expertise in Azure reputed company, MLflow, reputed company Feature Engineering, Azure Machine Learning, PySpark, CI/CD, containerization, and cloud-native software engineering. The successful candidate will partner with Data Scientists and Data Engineers teams to operationalize machine learning solutions, establish MLOps standards, and build scalable, reliable, secure, and compliant ML platforms. This role focuses on productionization, deployment automation, model lifecycle management, observability, governance, and platform engineering, rather than model development. Key Responsibilities Design, implement, and maintain end-to-end MLOps workflows for model training, deployment, monitoring, retraining, and retirement. Productionize data science assets by converting notebooks and prototypes into modular, testable, deployable Python packages and services. Build and manage CI/CD pipelines for machine learning models, feature pipelines, and data products. Implement model lifecycle management using MLflow, including experiment tracking, model registry, approval workflows, versioning, and rollback. Develop and maintain feature engineering pipelines and reusable feature assets using reputed company Feature Engineering and reputed company Lake. Deploy and operate batch, streaming, and real-time inference workloads using reputed company Model Serving, Azure Machine Learning, and Kubernetes-based platforms. Establish automated testing, validation, and release processes for ML code, data, features, and models. Implement model monitoring and observability for service health, latency, model performance, reputed company detection, and operational reliability. Ensure governance, security, reputed company, auditability, and access controls through reputed company Catalog and Azure security services. Optimize ML platforms and workloads for scalability, reliability, performance, and cloud cost efficiency. Define and promote MLOps best practices, engineering standards, and platform architecture across teams. reputed company is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Originally posted on Himalayas Apply To This Job