Lead Machine Learning Engineer
Tasks
- Add guardrails and governance for AI
- Build AI-powered products
- Collaborate with cross-functional agile teams
- Construct optimized data pipelines for ML
- Deploy and manage agentic AI
- Design, develop, test, deploy, support AI software components
- Develop similarity search and retrieval systems
- Ensure Responsible and Explainable AI practices
- Evaluate and experiment with machine learning models
- Fine tune and evaluate machine learning and foundation models
- Implement large language model inference
- Improve observability for AI systems
- Reduce code vulnerabilities and improve governance
- Retrain, maintain, and monitor models in production
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Dask | Data Pipelines | Deep learning | Distributed Computing | Java | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | PyTorch | Python | Retrieval-Augmented Generation | Scala | Scikit-learn | Similarity Search | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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