Sr. AI/ML Engineer
Tasks
- Build ML pipelines and CI/CD workflows
- Collaborate with clients to translate needs
- Design multi-agent systems
- Develop predictive models
- Evaluate model performance
- Guide dataset management and AI best practices
- Identify and mitigate technical risks
- Implement generative NLP and multimodal models
- Lead cloud-native AI deployment
- Optimize models and hyperparameters
Perks/Benefits
- Cloud training
- Collaborative culture
- Flexible paid time off
- Health benefits
- High-impact enterprise projects
- Professional development
- Remote work
Skills/Tech-stack
A/B | A/B Testing | Agentic Architectures | B testing | Bayesian statistics | Boosted Trees | Docker | Generative AI | Gradient Boosted Trees | Hyperparameter Tuning | Kubeflow | Kubernetes | LLMOps | Langchain | Langgraph | MLOps | NumPy | OpenCV | Pandas | PyTorch | Python | Scikit-learn | Stable Diffusion | Statistical Evaluation | Terraform | Uncertainty Estimation | Vector Databases | Vertex AI
Education
Computer Science | Data Science | Machine Learning | Mathematics
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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