Req ID : 50198
At NTT DATA Services, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition.
By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA Services and for the people who work here.
NTT DATA Services currently seeks a Software Development Advisor to join our team in Noida , Uttar Pradesh (IN-UP) , India (IN) .
At least 5 years hands-on programming experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab.
3+ years project Experience in Deep Learning / Machine learning, Artificial Intelligence
Experience building AI models in platforms such as LGBM, TensorFlow, or Theano.
Expertise in visualizing and manipulating big datasets
Strong in MS SQL
Acumen to take a complex problem and break it down to workable pieces, in order to code a solution
Excellent verbal and written communication skills
Ability to work in and define a fast pace and team focused environment
Proven record of delivering and completing assigned projects and initiatives
Ability to deploy large scale solutions to an enterprise estate
Strong interpersonal skills
Nice to Have
Experience in using machine learning-based tools or processes for Healthcare.
Participate in research, design, implementation and optimization of Machine learning Models
Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products
Build data ingest and data transformation platform
Identify transfer learning opportunities and new training datasets
Build AI models from scratch and help product managers and stakeholders understand results
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Verifying data quality, and / or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Finding available datasets online that could be used for training
Defining validation strategies
Defining the preprocessing or feature engineering to be done on a given dataset
Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies to overcome them
Deploying models to production
Create APIs and help business customers put results of your AI models into operations
Keep current of latest AI research relevant to our business domain
Bachelor in Computer Sciences or similar. Masters or PhD degree preferred
This position is only available to those interested in direct staff employment opportunities with NTT DATA, Inc. or its subsidiaries.
Please note, 1099 or corp-2-corp contractors or the equivalent will NOT be considered. We offer a full comprehensive benefits package that starts from your first day of employment.
About NTT DATA Services
NTT DATA Services partners with clients to navigate and simplify the modern complexities of business and technology, delivering the insights, solutions and outcomes that matter most.
We deliver tangible business results by combining deep industry expertise with applied innovations in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services.
NTT DATA Services, headquartered in Plano, Texas, is a division of NTT DATA Corporation, a top 10 global business and IT services provider with 118,000+ professionals in more than 50 countries, and NTT Group, a partner to 88 percent of the Fortune 100. Visit
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NTT DATA, Inc. (the Company ) is an equal opportunity employer and makes employment decisions on the basis of merit and business needs.
The Company will consider all qualified applicants for employment without regard to race, color, religious creed, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other class protected by law.
To comply with applicable laws ensuring equal employment opportunities to qualified individuals with a disability, the Company will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship to the Company would result.