Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer

Req ID: 330767

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer

must have skills: coding in OOP language: Python
must have skills: and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, TensorFlow, etc.) and AWS services: Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.

Minimum Experience on Key Skills

• 6 to 9 Years

General Expectation
1) Must have Good Communication
2) Must be ready to work in 10:30 AM to 8:30 PM Shift
3) Flexible to work in Client Location Manyata or EGL, Bangalore
4) Must be ready to work from office in a Hybrid work environment. Full Remote work is not an option
5) Expect Full Return to office from Feb/Mar'25

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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