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Associate AI ML Engineer

Associate AI ML Engineer

MSCI Services

4 - 5 years

13 - 18 Lacs

pune

Posted:1 week ago| Platform:

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Skills Required

manager quality assurance load testing coding enterprise applications process improvement agile regression testing monitoring recruitment python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.
E ncourages innovation and best practices
Following Agile methodology

Delivered Work Items accepted by MSCIif :

all code is free of any major or critical code issues
all code has been reviewe'd (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 required )
the scope of tests to be conducted and passed ( eg 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
G ood 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 sprint s 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 sit e
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 we'llbeing.

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, followe'd by access to our Learning@MSCI 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.

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