AI Machine Learning Scientist
USD 110K-155K (estimate) Mid-level Full Time
Tasks
- Build RAG pipelines and vector search systems
- Design AI and machine learning solutions
- Develop and deploy generative AI solutions
- Establish monitoring observability and governance for AI models
- Implement evaluation frameworks and automated testing
- Integrate AI capabilities into enterprise platforms and applications
- Optimize scalability latency reliability and cost efficiency
- Support experimentation benchmarking and model comparison
- Translate business requirements into production ready AI capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent systems | Agentic Workflows | Artificial Intelligence | Automated testing | Bias Testing | CI/CD | Cloud Computing | Continuous Delivery | Continuous Integration/Continuous Delivery | Continuous integration | Drift Detection | Embeddings | Explainability | Generative AI | Hugging Face | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Governance | Monitoring | Observability | Prompt engineering | Prompt orchestration) | PyTorch | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Semantic Retrieval | TensorFlow | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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