Senior AI/ML Consultant
Tasks
- Apply MLOps practices for reliable production
- Build machine learning pipelines
- Collaborate with stakeholders on client delivery
- Create agentic workflows
- Deploy and monitor machine learning models
- Design build and operationalise AI systems
- Design model strategy build vs buy
- Develop and integrate LLM applications
- Develop feature engineering pipelines
- Ensure responsible AI governance
- Implement rag pipelines
Perks/Benefits
- Company shares
- International working environment
- Mentorship
- Parental benefits
- Professional coaching
- Professional development opportunities
Skills/Tech-stack
AWS | Azure | Azure ML | CI/CD | Experiment tracking | Explainability | Fairness | Feature Engineering | Fine Tuning | GCP | Hugging Face | Langchain | LoRA | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Registry | Model Serving | PEFT | Prompt engineering | PyTorch | Python | RLHF | Retrieval-Augmented Generation | SageMaker | Semantic Search | TensorFlow | Vector Database | Vertex AI
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Machine Learning | Master of Science in Mathematics | Master of Science in Statistics
Roles
AI | AI/ML Consultant | Consultant | Senior AI/ML Consultant
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