Machine Learning Engineer (Agentic AI)
Tasks
- Build multi agent workflow and orchestration
- Design agent planning tool use memory reasoning
- Develop autonomous agent system for engineering problem solving
- Experiment with SFT and RL post training methods
- Implement evaluation system for automatic execution verification and scoring
- Integrate agent system into production engineering workflows
- Optimize agent using LLM as a judge benchmarks and metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agent systems | Autogen | Automated Evaluation | Benchmarking | Distributed Training | Fine Tuning | JAX | LLM-as-a-Judge | Langgraph | Language Models | Large Language Models | Machine Learning | Memory | Model Experimentation | Model Training | Multi-Agent | Multi-Agent Systems | Planning | Preference optimization | PyTorch | Reasoning | Reinforcement Learning | Supervised Fine Tuning | TensorFlow | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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