Python ML/AI Engineer
Tasks
- Build Retrieval-Augmented Generation solutions
- Build data processing pipelines
- Collaborate with data science teams
- Deploy machine learning models
- Develop AI services
- Develop machine learning models
- Ensure model quality reliability scalability
- Evaluate machine learning models
- Implement large language models
- Implement semantic search
- Integrate generative AI solutions
- Maintain machine learning models
- Monitor model performance
- Optimize machine learning models
- Perform MLOps deployment and monitoring
- Research new AI technologies
- Train machine learning models
- Use vector databases
Perks/Benefits
Skills/Tech-stack
APIs | Cloud Computing | Deep learning | Docker | Embeddings | Generative AI | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | NumPy | PGVector | Pandas | Pinecone | PyTorch | Python | Qdrant | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | TensorFlow | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | ML & AI Engineer | Python | Python ML AI Engineer
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