ML engineer
Tasks
- Architect and build machine learning models
- Build prompt and chain workflows
- Ensure production ready tested and documented code
- Experiment with AI solutions for learning at scale
- Fine tune and deploy lightweight large language models
- Implement automated evaluation and benchmarking
- Integrate models with client side apps APIs or edge devices
- Mentor junior engineers and guide experimentation
- Optimize models for speed memory and on device inference
- Run A B testing and human in the loop feedback
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Benchmarking | CNN | Data Preprocessing | Deep learning | Evaluation datasets | FastAPI | Feature Engineering | Flask | Hugging Face | Human-in-the-loop | Language Models | Large Language Models | MLflow | Machine Learning | Model Tuning | ONNX | Prompt engineering | PyTorch | Python | RNN | TFX | TensorFlow | The Loop | Transformers
Education
N/A
Roles
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