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Full-time
bachelor degree, postgraduate degree
Posted 43d ago
~40 hrs/week
Responsibilities
Lead the design, implementation, and end-to-end deployment of advanced machine learning and generative AI models for large-scale projects. Collaborate with cross-functional teams to optimize model performance and translate business challenges into technical AI solutions.
Requirements
Requires a Bachelor's or Master's degree in Computer Science or Data Science with 7-10 years of professional experience in AI/ML. Must possess expert-level Python skills and hands-on experience with AWS and GenAI libraries.
Full job description
Req ID:377862
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 Principal Data Scientist - AI & ML to join our team in Gurgaon, Haryāna (IN-HR), India (IN).
Responsibilities:
Lead the design and implementation of advanced machine learning and generative AI models for large-scale AI projects.
Collaborate with data scientists and software engineers to build and deploy scalable, production-grade ML and GenAI solutions.
Drive the end-to-end deployment of machine learning and GenAI models, ensuring seamless integration into production environments and monitoring their performance post-deployment.
Conduct in-depth data analysis and feature engineering to extract meaningful insights from complex, high-volume datasets.
Optimize and fine-tune machine learning and generative AI models to enhance accuracy, efficiency, and performance.
Stay current with the latest advancements in machine learning, generative AI (such as LLMs, diffusion models, and GANs), and apply them to improve existing systems.
Work with cross-functional teams to define project requirements and deliver high-quality, innovative AI solutions on schedule.
Requirements:
Bachelor’s or master’s degree in computer science, Data Science, or a related field.
7–10 years of professional experience in data science, machine learning, or AI-related roles.
Hands-on experience with AWS Cloud Stack.
Expert-level proficiency in Python and experience with machine learning and GenAI libraries such as Hugging Face Transformers, or scikit-learn.
Strong coding skills, including robust machine learning code and version control (preferably Git).
Experience across the project lifecycle, from business analysis to deployment.
Experience working with databases (e.g., SQL).
Deep understanding of machine learning, generative AI (LLMs, NLP, GANs).
Proven track record with large-scale machine learning projects, and distributed computing frameworks
Skilled in data manipulation, preprocessing, and feature engineering.
Strong analytical and problem-solving abilities.
Excellent communication and teamwork skills.
People Skills:
Ability to translate business challenges into data science and GenAI solutions.
Effectively communicate technical concepts to non-technical stakeholders.
Strong team player, open to collaboration and new ideas.
Curious, innovative, and eager to explore emerging approaches in AI and GenAI.
About NTT DATA
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.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. 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.
Offices: 7950 Legacy Drive, Suite 900, Plano, Texas 75024, US · 18 S End Road, Bengaluru, Karnataka 560004, IN
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How many Data & Analytics jobs are open in Gurgaon, India right now?
There are currently 1,230 open data & analytics positions in Gurgaon, India listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Gurgaon, India?
Companies currently hiring include Genpact, EY, American Express, KPMG India, Mastercard, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Gurgaon, India?
Yes — 457 of the 1230 open data & analytics positions offer remote or hybrid work (31 remote, 426 hybrid).
How do I apply for Data & Analytics jobs in Gurgaon, India?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.