Machine Learning Engineer
Tasks
- Analyze business problems
- Apply MLOps best practices
- Build reproducible ML workflows
- Conduct blameless post-mortems
- Define measurable ML problem statements
- Design deploy and maintain production ML systems
- Implement monitoring and evaluation frameworks
- Improve data quality model performance latency and cost
- Mentor and share knowledge
- Orchestrate data preparation training evaluation inference
- Perform code reviews
- Provide incident response and manage SLAs
- Run automated testing
Perks/Benefits
- Healthcare insurance
- Paid parental leave
- Paid personal time off
- Paid sick time
- Paid time off
- Remote work
- Retirement savings program
- Wellness leave
Skills/Tech-stack
Airflow | Amazon SageMaker | Apache Spark | Argo CD | Artificial Intelligence | CI/CD | Containerization | Data Modeling | Distributed Computing | Docker | DynamoDB | EMR | Feature Store | Flink | GitOps | Inference | Java | Kafka Streams | Kubeflow | Kubernetes | LLM | Langchain | Langgraph | MLOps | MLflow | Machine Learning | Metaflow | Model Evaluation | Model Observability | Monitoring | OpenSearch | Optimization | Probability | Python | RAG | SQL | Snowflake | Statistics | Streaming Data | System design | Vector Databases | Version control
Education
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