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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.
Job Responsibility:
Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives
Collaborate with data scientists and engineers to translate business requirements into technical solutions
Write clean, maintainable, and production-quality code primarily in Python, PySpark, and SQL
Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools
Participate in model validation, testing, and deployment processes
Communicate findings and model insights effectively to both technical and non-technical stakeholders
Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products
Requirements:
Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
2-4 years of professional experience in machine learning or data engineering roles
Solid understanding of machine learning algorithms and experience applying them to real-world problems
Proficiency in Python and SQL
experience with PySpark or similar big data tools is a plus
Familiarity with machine learning frameworks such as TensorFlow or PyTorch
Experience with cloud platforms and ML tools like AWS Sagemaker or Databricks preferred but not required
Ability to work collaboratively in a team and communicate technical concepts clearly
Nice to have:
Experience deploying machine learning models in production environments
Exposure to CI/CD pipelines and version control systems like GitHub
Knowledge of data visualization tools such as Power BI or Tableau