Senior Machine Learning Engineer
Tasks
- Contribute to ML infrastructure architecture decisions
- Design and implement model monitoring and retraining strategies
- Develop LLM solutions
- Develop agent and multi agent systems
- Ensure MLOps best practices automation and reproducibility with CI CD
- Ensure scalability efficiency and reliability of ML pipelines
- Improve experimentation frameworks model versioning and A B testing
- Mentor junior ML engineers
- Optimize model inference and performance for production
- Own end to end ML model development optimization and deployment
Perks/Benefits
- Employee referral program
- Family care benefits
- Healthcare plans
- Learning courses
- Live insurance
- Meal benefit
- Paid time off
- Remote work
- Retirement plan
- Well-being allowance
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Airflow | Apache Spark | B testing | CI/CD | Cloud Platforms | Cloud platform | Dask | Fine Tuning | Google Cloud | Google Cloud Platform | LLMOps | MLflow | Machine Learning | Microsoft Azure | Model Monitoring | Model retraining | Model versioning | NumPy | Pandas | Prompt engineering | PyTorch | Python | SQL | Scikit-learn | Snowflake | TensorFlow
Education
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