Data Scientist Engineer Advisor

Req ID: 377876

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 Data Scientist Engineer Advisor to join our team in Bangalore, Karnātaka (IN-KA), 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, 

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