Machine Learning Engineer 5
Bangalore, India
R
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build computer vision pipelines
- Define model evaluation frameworks
- Design diffusion models
- Design distributed training infrastructure
- Develop vision foundation models
- Export models to ONNX
- Integrate vision encoders with generative backbones
- Lead technical design reviews
- Mentor engineers through code reviews
- Optimize models for inference
- Own ML lifecycle
- Train and fine tune diffusion models
- Write engineering RFCs
Perks/Benefits
- N/A
Skills/Tech-stack
3D Reconstruction | Adapters | CLIP | Computer Vision | ControlNet | DDP | DINOv2 | DPO | DVC | Data Curation | DeepSpeed | Depth Estimation | Diffusion Models | Distributed Training | Experiment tracking | FP8 | FSDP | Flash Attention | Human Preference Studies | IP-Adapter | Image Segmentation | Information theory | Inpainting | LoRA | MLOps | MLflow | Megatron-LM | Model Deployment | Model Evaluation | Monitoring | ONNX | Object Detection | Optical Flow | Probabilistic ML | PyTorch | Python | Quantization | Quantization INT8 | RLHF | SAM | Variational Inference | ViT | Vision Transformers | Weights and Biases | XFormers
Education
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