Senior Software Engineer

5 years

0 Lacs

Posted:1 week ago| Platform: Indeed logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Senior Software Engineer

Bangalore, Karnataka, India


Date posted
Oct 24, 2025
Job number
1896613
Work site
3 days / week in-office
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Data Science
Employment type
Full-Time

Overview

We are seeking a passionate and technically skilled Senior Software Engineer to join the Commerce – Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft’s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.

As a Senior Software Engineer in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.
  • 5+ years of experience in data science, analytics, or applied machine learning.
  • Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Experience with cloud platforms (Azure preferred) and big data technologies.
  • Strong understanding of statistical modeling, predictive analytics, and experimentation design.
  • Excellent communication and stakeholder management skills.
  • Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.

#CPXJOBS

Responsibilities

  • Build scalable machine learning models as part of the Commerce Platform that would act as the foundation for insights across the Commerce Platform.
  • Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models. Design skill should include scale, extensibility, performance, re-training for the ML models.
  • Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
  • Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
  • Ensure the models built are operable, scalable, extensible and performant.
  • Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
  • Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
  • Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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