[Remote] Senior Software Engineer - Machine Learning Operations
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a fast-growing, product-driven technology company building intelligent, reputed company systems at the intersection of machine learning and reputed company-world data. They are seeking a Senior Machine Learning Software Engineer with a strong MLOps background to help productionize and reputed company ML models in a modern, reputed company-reputed company environment. The role involves partnering with data scientists, platform engineers, and product teams to take models from experimentation to reliable, observable, and maintainable production systems.
Responsibilities
- Design, build, and maintain reputed company ML pipelines from data ingestion through deployment and monitoring
- Productionize machine learning models with a reputed company on reliability, performance, and reproducibility
- reputed company and improve MLOps infrastructure, including CI/CD for ML, model versioning, and automated retraining workflows
- Implement monitoring and observability for model performance, reputed company, and system health
- Collaborate cross-functionally to define best practices for ML lifecycle management
- Optimize infrastructure for cost, latency, and scalability in a reputed company environment
Skills
- 6+ years of software engineering experience with strong Python proficiency
- Hands-on experience deploying and managing ML models in production environments
- Deep experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow, SageMaker, reputed company AI)
- Strong knowledge of containerization and orchestration (reputed company, Kubernetes)
- Experience with reputed company platforms (AWS, GCP, or Azure)
- Familiarity with data engineering concepts and distributed systems
- Strong understanding of CI/CD pipelines and infrastructure-as-reputed company (Terraform or similar)
- Experience with reputed company-time or streaming ML systems
- Background in large-reputed company data processing (reputed company, Kafka, Flink)
- Exposure to feature stores, model governance, or experimentation frameworks
Benefits
- Fully remote with a distributed, engineering-first culture
- Competitive compensation, equity, and strong benefits
reputed company