Senior Machine Learning Engineer
Tasks
- Build ML pipelines
- Collaborate with data scientists for training and inference
- Deploy and support ML applications
- Design scalable reliable observable systems
- Improve model training to deployment lead times
- Introduce MLOps tools and solutions
- Leverage cloud AI/ML services
- Manage Kubernetes based services
- Publish model scores insights and learnings
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Argo CD | Argo Workflows | BigQuery | Bitbucket | CI/CD | Cloud platform | Cloudflare Workers | Docker | ELT | ETL | FastAPI | Git | Google Cloud | Google Cloud Platform | JavaScript | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Observability | Postgres | PyTorch | Pytest | Python | SQLite | Scikit-learn | Streamlit | TensorFlow | Terraform | TypeScript | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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