Senior Associate – Lead AI/ML Solutions Engineer
Tasks
- Architect and build AI and ML solutions
- Build GenAI systems
- Conduct model training evaluation and governance
- Design ML and data pipelines
- Develop and deploy AI models in production
- Drive end to end AI ML lifecycle
- Ensure scalability reliability and low latency
- Implement MLOps best practices
- Mentor junior team members
- Monitor deployed ML systems
Perks/Benefits
- Career development and mobility
- Collaborative workspaces
- Employee resource groups
- Flexible working arrangements
- Learning opportunities
Skills/Tech-stack
AWS | Airflow | Azure | Batch Machine Learning | Cloud platform | Data Modeling | Data Pipelines | Deep learning | Docker | Embeddings | Feature Engineering | Fine Tuning | GenAI | Google Cloud | Google Cloud Platform | HuggingFace Transformers | Kubeflow | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Prompt engineering | PyTorch | Python | Real Time | Real-time Machine Learning | Retrieval-Augmented Generation | Scikit-learn | Spark | TensorFlow
Education
N/A
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