Lead AI ML Engineer
Tasks
- Build AI/ML models
- Build LLM applications using APIs or fine tuning
- Communicate technical concepts to non-technical stakeholders
- Create MLOps pipelines
- Deliver ML solutions end to end
- Deploy ML models to production
- Develop Agentic AI systems
- Implement NLP computer vision and LLM solutions
- Implement RAG using vector embeddings
- Lead AI/ML engineering teams
- Monitor models and track performance
- Prepare data and engineer features
- Train and tune machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Cloud platform | Computer Vision | Deep learning | Feature Engineering | Fine Tuning | GitHub Actions | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Spark | TensorFlow | Vector Stores | Vector embeddings
Education
N/A
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