Associate AI ML Engineer

• Architect build and maintain scalable AI/ML and GenAI solutions for enterprise applications.
• Actively contribute to AI strategy and roadmap in collaboration with leadership and product teams.
• Ensure robustness reliability and optimization of production-grade data pipelines and ML systems.
• Drive end-to-end AI/ML lifecycle from ideation to deployment and monitoring.

Responsibilities:

• Delivering new functionality by writing and shipping high quality code for AI systems meeting the MSCI requirements.
• Fine tune train and deploy large language models to either cloud platform.
• Develop new agentic systems applying various patterns such as RAG ReACT Reasoning and hierarchical agents.
• Design build and maintain efficient reusable and reliable code.
• Design and implementation of continuous integration and deployment.
• Monitor and optimize application performance.
• Problem solving with alternative approaches and in collaboration with Business Stakeholders Quality Assurance Data Operation and IT Infrastructure on all stages of software development life cycle.
• Encourages innovation and best practices
• Following Agile methodology

Delivered Work Items accepted by MSCI if :

• all code is free of any major or critical code issues
• all code has been reviewed (or pair programmed);
• all code is unit quality assured and tested and accepted by MSCI
• all coding standards have been met and code has been re-factored where necessary;
• everything is documented properly in Jira and in Confluence/Wiki tools (per guidance from MSCI when )
• the scope of tests to be conducted and passed (e.g. user acceptance tests and non-functional tests);

Tech Skills:

• Must to Have Technical Skillsets 4-5 years of experience:
• Python Gen AI Vector Databases Familiarity with either Azure or Google Cloud Platform Kubernetes
• Azure Devops for CI/CD
• Good to Have Technical Skillsets
• Java LoRA Milvus Vertex AI Langchain/ADK

Soft skills:

• work independently on their assigned tasks
• take complete ownership over until the assigned feature is developed tested accepted and deployed in line with the terms of actual sprints Definition of Done
• understand MSCI AI technology stack
• conduct end to end development work
• take decisions alone
• communicate effectively with the internal and external stakeholder to understand the problem
• able to estimate the scope
• conduct successful unit tests Jira testing integration testing load testing (whenever applicable) regression testing before production release
• code in line with MSCI best practices for python coding defined on MSCI internal site
• bring innovative ideas in for platform/process improvement and optimizations
• be proactive and available
• maintain refresh the MSCI knowledge repository) on MSCI bodhi page (internal site) for the purpose of enhancing the documentation sharing knowledge reducing the number of repetitive questions supporting resource onboarding and training existing team.

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 Womens Leadership Forum.

At MSCI we are passionate about what we do and we are inspired by our purpose to power better investment decisions. Youll 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.

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