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Senior Machine Learning Engineer
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Job Description
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Engineering
Senior Machine Learning Engineer
Engineering Bangalore, India Full Time
Ship production ML systems that serve millions of video hours every month.
What you'll do
- Own the productionization of new model capabilities end-to-end.
- Improve inference performance, reliability, and cost.
- Collaborate with research on model handoff and evaluation.
- 5+ years building production ML systems.
- Strong systems fundamentals and Python skills.
- Experience operating GPU-backed services at scale.
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Key Skills
About Company
Skills:
Numpy, Predictive Modeling, Pandas, Amazon Redshift, Python, Aws S3, Jupyter Notebooks, Feature Engineering, Scikit-learn, Traditional Machine Learning, Model Testing and evaluation
Skills:
Machine Learning, Deep Learning, Tensorflow, Pytorch, Opencv, Python, Computer Vision, GenAI, Prompting, LLMs, GenAI systems, OCR engines, PIL, Fine-tuning
Skills:
data engineering , Numpy, Pandas, Pytorch, Python, Testing and release, scikit-learn, Development processes, ELT data pipelines, ML research methodologies, Build processes, Production ML systems, Source control management, ML pipelines
Skills:
error analysis , Deduplication, Pytorch, Python, Cloud Storage, Statistical Analysis, data augmentation, model training, model-based labeling, distributed compute, Active Learning, VLMs, Hugging Face LLMs, ablation studies, dataset curation, benchmark evaluation, workflow orchestration, weak supervision, Batch Processing, inference evaluation, synthetic-data generation, Production Monitoring, data-quality measurement, diffusion models, multimodal models
Skills:
Java, Docker, Kubernetes, Python, TFX, AWS SageMaker, Kubeflow, Google Vertex AI, Go, MLflow, Metaflow