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Senior Machine Learning Engineer
S
Senior Machine Learning Engineer
softcrayons it education- Posted 9 hours ago
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Job Description
FULLTIME
Senior Machine Learning Engineer
Paytm
100 days ago
Senior Machine Learning Engineer
Paytm
Data Science / Analytics
FULLTIME
1800000 - 2800000
3-6 Years
Noida
Job Description
We are looking for a Machine Learning Engineer to build, deploy, and optimize AI models.
Professional Skills
Job Overview
Job TitleSenior Machine Learning Engineer
Job TypeFULLTIME
CategoryData Science / Analytics
Experience3-6 Years
DegreeMaster
Offered Salary1800000 - 2800000
LocationNoida
Noida
Open Maps
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Senior Machine Learning Engineer
Paytm
100 days ago
Senior Machine Learning Engineer
Paytm
Data Science / Analytics
FULLTIME
1800000 - 2800000
3-6 Years
Noida
Job Description
We are looking for a Machine Learning Engineer to build, deploy, and optimize AI models.
Professional Skills
- Python
- TensorFlow
- PyTorch
Job Overview
Job TitleSenior Machine Learning Engineer
Job TypeFULLTIME
CategoryData Science / Analytics
Experience3-6 Years
DegreeMaster
Offered Salary1800000 - 2800000
LocationNoida
Noida
Open Maps
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More Info
Key Skills
About Company
Skills:
Machine Learning, Kafka, Sql, MLops, Docker, Spark, Python, Kubernetes, AWS, Ai, anomaly detection, Real-time data processing, Time-series forecasting
Skills:
Machine Learning, Kafka, Rest Api, Gcp, Docker, Pytorch, Azure, Kubernetes, Python, AWS, LangChain, LangGraph, Pub Sub, DeepSeek, Qwen, Llama, Transformers, BERT, Gemma, ML and Deep Learning model deployments
Skills:
Machine Learning, Gcp, Pytorch, Apache Spark, Big Data, Azure, Python, Sql, AWS, Deep Learning, Speech NLP, Generative AI
Skills:
Machine Learning, Jax, Deep Learning, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, Computer Vision, AWS, GANs, Generative AI, Image processing techniques, CNNs, Inpainting methods, VAEs, Image-to-image generation, Diffusion models
Skills:
Tensorflow, Django, Hadoop, React, Kafka, AWS, Pytorch, Node.js, Kubernetes, Python, Azure, Algorithms, Docker, Gcp, Spark, data structures, scikit-learn, Airflow, generative AI technologies, Vector Databases, RAG architectures, transfer learning, prompt engineering