ML Engineer

NTT DATA, Inc.
United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Python (Programming Language) Deep Learning Databricks

Requirements

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 ML Engineer to join our team in Bangalore or Remote, Karnātaka (IN-KA), India (IN).

Experience : 5-7

Life science and deep learning ( nureal networks , NER expirence mandatory )

Platform - python , databricks

About the company

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D., NTT DATA provides broad range of IT services and solutions, including consulting, systems integration, and IT outsourcing.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 ¡ LIVE

5:14 min

Executing Databricks jobs with built-in Airflow operators

Alan Mazankiewicz ¡ LIVE

2:47 min

Contrasting classical machine learning with deep learning approaches

Adrian Spataru +1 ¡ LIVE

2:38 min

Building full stack web applications entirely with Python

Meredydd Luff ¡ LIVE

8:27 min

Building generic custom operators for Databricks APIs

Alan Mazankiewicz ¡ LIVE

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen ¡ Coffee With Developers

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