Applied Scientist Ii

3 days ago

Noida Uttar Pradesh, India Microsoft Full time

At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

**Responsibilities**:
As a Applied Scientist II, you will:

- Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability.
- Build AI\ML 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 ML\AI powered solutions in production, including deployment, monitoring, and refinement.
- Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution.
- Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability.
- Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement.
- Stay ahead of emerging trends in AI/ML.

**Qualifications**:
**Required Qualifications**:

- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ 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 AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- Excellent coding and debugging skills with deep understanding of ML\AI 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.

**Other Requirements**:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

**Preferred Qualifications**:

- 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

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