Z
Senior Machine Learning Engineer
Z
- Posted 19 days ago
- Be among the first 10 applicants
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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Why this role
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Key Skills
About Company
Skills:
Bi Tools, Data Analytics, Deep Learning, Tensorflow, Pytorch, MLops, Gcp, Docker, Excel, Azure, Python, Kubernetes, AWS, Generative AI, ML algorithms, NLP frameworks, MLflow, Scikit-Learn, Statistical Modeling, Kubeflow, Data ML pipelines
Skills:
Golang, Jax, Prometheus, Cloudwatch, Grafana, Tensorflow, Pytorch, Python, Java, Scala, MLops, Spark, Keras, Kubernetes, Scalable ML architectures, End-to-end machine learning pipelines, Automated remediation, MLflow, Prediction and drift monitoring, Model hosting, Stream processing pipelines, Big data frameworks, Model versioning, API performance monitoring, Embedding scaling, Feature stores, Data versioning
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:
data engineering , Numpy, Pandas, Pytorch, Python, scikit-learn, ML pipelines
Skills:
Tensorflow, Machine Learning, Pytorch, MLops, Natural Language Processing, Python, Sql, Deep Learning, Vector Databases, Generative AI, Retrieval-Augmented Generation