Senior Machine Learning Engineer
Senior Machine Learning Engineer
zyris aiThis job is no longer accepting applications
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:
Svm, XGBoost, Python, Decision Trees, Clustering, MLops, Restful Apis, Agent reasoning patterns, Prompt engineering, Feature selection, scikit-learn, RAG systems, Data preprocessing, Conversation analytics, AI system observability frameworks, LLM conversational AI systems, Feature engineering, semantic search, AWS Sagemaker, LangChain, CrewAI, Vector databases, LightGBM, Ensemble models, Regression, Statistical Modeling, Agent frameworks, Context optimization
Skills:
Kubernetes, Java, Python, Docker, Metaflow, Kubeflow, MLflow, TFX, Go, Google Vertex AI, AWS SageMaker
Skills:
Python, Computer Vision, Deep Learning, Tensorflow, Machine Learning, Opencv, Pytorch, LLMs, Fine-tuning, OCR engines, GenAI, Prompting, GenAI systems, PIL
Skills:
data engineering , Python, Pandas, Numpy, Pytorch, scikit-learn, Testing and release, Development processes, Source control management, Build processes, Production ML systems, ML pipelines, ELT data pipelines, ML research methodologies
Skills:
Spark, Sql, Kafka, Machine Learning, MLops, AWS, Python, Kubernetes, Docker, Ai, anomaly detection, Time-series forecasting, Real-time data processing