Machine Learning Engineer
Tasks
- Build data pipelines
- Containerize inference services
- Deploy models on AWS
- Detect data drift and performance regressions
- Document architecture and runbooks
- Evaluate and improve prompts
- Expose batch and real time predictions
- Instrument pipelines for monitoring
- Manage infrastructure with Terraform
- Mentor machine learning engineering best practices
- Package and retrain models
- Prototype RAG pipelines
- Track experiments
- Train and deploy machine learning models
- Translate business requirements into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Kinesis | Apache Airflow | Apache Spark | CI/CD | DBT | Dask | Datadog | Docker | FastAPI | Great Expectations | Kafka | Kubernetes | MLflow | Monte Carlo | Pinecone | Prompt engineering | PyTorch | Python | React | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | TensorFlow | Terraform | Weights and Biases | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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