Machine Learning Engineer (Service) (Fixed-term contract)
Tasks
- Build RAG pipelines
- Build agentic AI systems
- Collaborate with cross-functional teams
- Conduct code reviews
- Curate and augment training data
- Deploy and monitor ML systems
- Design end-to-end ML pipelines
- Design train and optimize deep learning models
- Develop evaluation frameworks
- Fine-tune language models
- Generate synthetic data
- Maintain documentation and reproducible experiments
Perks/Benefits
Skills/Tech-stack
AWS | Ablation Studies | CI/CD | Data Augmentation | Docker | Fine Tuning | Generative AI | Git | Huggingface | Human Feedback | Human-in-the-loop | LLM-as-a-Judge | Langgraph | Language Models | Large Language Models | Learning from Human Feedback | Llamaindex | NumPy | Pandas | Preference optimization | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Reinforcement Learning from Human Feedback | Rerankers | Synthetic data | The Loop | Transformer | Vector Databases
Education
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