Senior ML Engineer
Tasks
- Build and deploy machine learning and generative AI systems
- Create AI architecture documentation
- Deploy and monitor production machine learning models
- Design scalable machine learning solutions
- Develop end-to-end machine learning pipelines
- Ensure responsible AI compliance
- Implement MLOps practices with CI CD
- Integrate large language models into enterprise applications
- Perform model monitoring and troubleshooting
Perks/Benefits
- Accident insurance
- Disability insurance
- Employee referral scheme
- Hybrid work
- Paid time off
- Pension plan
- Private medical insurance
- Sickness insurance
Skills/Tech-stack
AWS Bedrock | AWS CloudWatch | AWS Lambda | AWS SageMaker | Amazon S3 | Azure Machine Learning | CI/CD | Distributed Systems | Docker | Event Driven | Event-driven architecture | Generative AI | Hugging Face | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | LightGBM | MLOps | Machine Learning | Model Monitoring | PyTorch | Python | RAG | REST APIs | Scikit-learn | TensorFlow | Terraform | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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