
AI Engineer Production Operations
1 week ago
Your Team Responsibilities
Our mission is to embed
AI-driven automation, telemetry, and observability
into MSCI's production environments, enabling the
Quality Center of Excellenace team
to deliver on its objectives of operational excellence, risk reduction, and quality at scale. We serve as the
engineering backbone
of production governance, ensuring that systems are reliable, efficient, and continuously improving through data-driven insights.
Your Key Responsibilities
AI Tooling & Framework Development
Build AI-driven tools for anomaly detection, incident triage, and root-cause analysis in production systems.
- Develop and deploy automation frameworks to support Level 1 / Level 2 support teams and streamline repetitive operational tasks.
Create self-healing and predictive monitoring capabilities using ML models.
Telemetry & Observability
Implement telemetry pipelines in GCP (e.g., Stackdriver/Cloud Monitoring, BigQuery, Pub/Sub) and Azure (e.g., Application Insights, Log Analytics, Monitor).
- Build dashboards, automated alerting, and intelligent log/metric analysis frameworks across hybrid cloud environments.
Leverage distributed tracing and logging frameworks to ensure end-to-end visibility of systems.
Incident Management Automation
Design AI-assisted runbooks to support incident triage and resolution.
- Automate classification and escalation of incidents using ML and rule-based systems.
Integrate AI-powered insights with existing incident management platforms (e.g., ServiceNow, PagerDuty, Opsgenie).
Collaboration
Work closely with production teams, SREs, and system test engineers, incidnet managers to integrate AI solutions into live environments.
- Partner with cloud engineering teams to ensure solutions are scalable, secure, and compliant.
- Provide technical knowledge transfer and training on AI-enabled tools to support engineers.
Your Skills And Experience That Will Help You Excel
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
- 11+ years of hands-on engineering experience in production support, SRE, or AI/ML platform development.
- Strong programming skills in Python (preferred) and experience with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Hands-on expertise with GCP (BigQuery, Pub/Sub, Cloud Monitoring, Vertex AI) and Azure (Application Insights, Log Analytics, Azure ML, Azure Monitor).
- Experience with observability tools (Prometheus, Grafana, ELK, Splunk, Datadog).
- Proficiency with cloud-native infrastructure (Kubernetes, Docker, Terraform, CI/CD pipelines).
- Strong understanding of incident management and ITIL practices.
- Experience implementing AIOps solutions in hybrid cloud environments.
- Knowledge of MLOps best practices (model deployment, monitoring, retraining).
About MSCI
What we offer you
- Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
- A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
- Global Orientation program to kickstart your journey, followed by access to our platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
- Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
- We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.
At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.
MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.
MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.
To all recruitment agencies
MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.
Note on recruitment scams
We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on
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