Applied Sciences IC2 at Microsoft

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI-Powered Solutions, Incident Management, Root Cause Analysis, Anomaly Detection, Predictive Analytics, Error Log Analysis, ML Algorithms, Data Science, Deep Learning, Predictive Modelling, Time Series Data Analysis, Communication Skills, Site Reliability Engineering, AI Ops, Customer Satisfaction, Emerging Technologies

Industry

Software Development

Description

Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability. Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications. Build AIML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents. Ensure end-to-end integration of MLAI powered solutions in production, including deployment, monitoring, and refinement. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field Excellent coding and debugging skills with deep understanding of MLAI algorithms and data science problems. Experience with ML techniques such as deep learning, predictive modelling, time series data analysis. Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams. These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction. Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems. Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions. Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management. Effective verbal, visual and written communication skills.

Responsibilities

Collaborate with engineers and product teams to drive innovation in AI-powered site reliability. Develop and implement scalable AI-driven solutions for incident management and prevention across Office Online applications.