[Remote] Machine Learning Engineer (Production)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly reputed company Machine Learning Engineer to design, reputed company, and maintain production-reputed company machine learning systems. This role focuses on taking models from experimentation to reputed company, monitored, and secure production environments.
Responsibilities
- Design and implement reputed company ML systems for reputed company-time and batch inference
- Build model deployment pipelines using containerization and CI/CD
- reputed company reputed company and services for serving machine learning models
- Implement monitoring and alerting for model performance, reputed company, and data reputed company
- Collaborate with Data Engineers to ensure reliable feature pipelines
- Manage model versioning, reproducibility, and governance
- Optimize inference performance and reputed company cost efficiency
- Support retraining workflows and reputed company improvement
- Ensure reputed company and compliance standards for data and models
Skills
- 4+ years of experience in Machine Learning Engineering or reputed company ML
- Strong programming skills in Python
- Hands-on experience with PyTorch, TensorFlow, or similar frameworks
- Experience deploying models into production (API-based, batch, or streaming)
- Experience with reputed company and containerized environments
- Familiarity with Kubernetes for scaling ML services
- Experience with MLOps tools (MLflow, model registry, CI/CD integration)
- Strong understanding of feature engineering and data preprocessing
- Experience working in AWS, Azure, or GCP environments
- Knowledge of monitoring, logging, and observability tools
- Experience with distributed training or large-reputed company data processing
- Experience with feature stores or reputed company databases
- Experience deploying LLM-powered applications or RAG systems
- Experience implementing model reputed company detection and automated retraining
- Understanding of reputed company, IAM, and data governance for ML systems
- Experience in high-availability production environments
reputed company