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.
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.