3 Ml Components Jobs

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4.0 - 8.0 years

0 Lacs

thiruvananthapuram, kerala

On-site

As a Senior AI/ML Engineer at UST, you will be responsible for leveraging your expertise in Python for AI/ML model development, particularly focusing on Keras and Pandas. Your role will involve working with Generative AI and Large Language Models (LLMs) like GPT-3 and Transformers. You will be expected to build and manage data pipelines using technologies such as Kafka and big data tools, along with proficiency in Time Series modeling. Additionally, your knowledge of cloud platforms like AWS, Azure, or GCP for deployment, scalability, and performance optimization will be crucial. Familiarity with Aurora DB and ELK stack, as well as the ability to build reusable ML components for scalable sys...

Posted 1 month ago

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7.0 - 9.0 years

0 Lacs

bengaluru, karnataka, india

On-site

At Arctic Wolf, we're redefining the cybersecurity landscape. With our employee Pack members, spread out globally, committed to setting new industry standards. Our accomplishments speak for themselves, from our recognition in the Forbes Cloud 100 , CNBC Disruptor 50 , Fortune Future 50 , and Fortune Cyber 60 to winning the 2024 CRN Products of the Year award. We're proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers Choice distinction from Gartner Peer Insights . Our Aurora Platform also received CRN's Products of the Year award in the inaugural Security Operations Platform category. Join a company that's not only le...

Posted 1 month ago

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3.0 - 8.0 years

0 Lacs

thiruvananthapuram, kerala

On-site

As a Senior AI/ML Engineer specializing in Python/AI-ML, you will be responsible for developing and implementing AI/ML models using Python. Your expertise in Keras and Pandas will be essential for model development. Additionally, you will work with Generative AI and Large Language Models like GPT-3 and Transformers. Your role will involve building and managing data pipelines using technologies such as Kafka and big data platforms. Experience in Time Series modeling and knowledge of cloud platforms like AWS, Azure, or GCP for deployment and performance optimization will be crucial. Familiarity with Aurora DB and ELK stack will also be beneficial. You should be able to create reusable ML compo...

Posted 3 months ago

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