Remote Vision / ML Engineer Analytics ConsultingManager

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 Remote Vision / ML Engineer Analytics ConsultingManager to join our team in Plano, Texas (US-TX), United States (US).

Who we are:

NTT DATA America strives to hire exceptional, innovative and passionate individuals who want to grow with us. Launch by NTT DATA is the culmination of the company’s strategy to acquire and integrate the skills, experience, and technology of leading digital companies, backed by NTT DATA’s core capabilities, global reach, and depth.

How You’ll Help Us:

Our clients need digital solutions that will transform their business so they can succeed in today’s hypercompetitive marketplace. As a team member you will routinely deliver elite solutions to clients that will impact their products, customers, and services. 

Using your development, design and leadership skills and experience, you will design and implement solutions based on client needs. You will collaborate with customers on future system enhancements, thus resulting to continued engagements.

How We Will Help You:

Joining our Data practice is not only a job, but a chance to grow your career. We will make sure to equip you with the skills you need to produce robust applications that you can be proud of. Whether it is providing you with training on a new programming language or helping you get certified in a new technology, we will help you grow your skills so you can continue to deliver increasingly valuable work.

Once You Are Here, You Will:

• Develop Algorithms: Creating and optimizing algorithms for image processing, object detection, and recognition tasks.
• Data Collection and Analysis: Gathering and analyzing large datasets to train and validate machine learning models.
• Model Training and Evaluation: Training machine learning models using various techniques and evaluating their performance to ensure accuracy and efficiency. 
• Collaborate: Working closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate models into applications and systems.
• Research and Innovation: Staying updated with the latest advancements in computer vision and machine learning to incorporate new techniques and technologies into projects.
• Document and Report: Documenting the development process, experiments, and results, and presenting findings to stakeholders.
  …