Senior AI/ML Engineer - Hybrid
Tasks
- Automate model deployment monitoring and drift detection
- Build scalable secure end to end ML pipelines
- Collaborate with cross functional teams on AI strategy and solutions
- Derive insights using supervised unsupervised reinforcement learning and deep learning
- Design fine tune and optimize AI and ML algorithms
- Ensure model governance documentation and reproducibility
- Integrate datasets with generative AI models
- Provide technical leadership and mentor engineers
- Stay current with emerging AI technologies and implement RAG and agentic AI
Perks/Benefits
- 401k matching
- AD and D insurance
- Dental insurance
- Employee assistance program
- Flexible spending account
- Health savings account
- Life insurance
- Long-Term Disability coverage
- Long-term disability
- Medical insurance
- Paid time off
- Short term disability coverage
- Short-term disability
- Vision insurance
Skills/Tech-stack
AWS | Amazon Bedrock | Azure | Chain-of-Thought | Computer Vision | Deep learning | Few-Shot Learning | Few-shot | Google Cloud | Keras | Langchain | Langgraph | NLP | NumPy | Pandas | Pinecone | Prompt engineering | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Databases | Weaviate | Zero-Shot | Zero-shot Learning
Education
N/A
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