MSCI Recruitment 2025 brings an exciting opportunity for software professionals and early-career engineers who are passionate about artificial intelligence, machine learning, and Python development. MSCI, a globally respected leader in investment decision support tools, is hiring for the role of Associate Software Engineer – AI & Python as part of its growing Sustainability & Climate Technology team. This off campus drive is an excellent chance for candidates looking to work on real-world AI, ML, and Generative AI solutions while contributing to meaningful climate and sustainability initiatives.
With increasing demand for AI-driven enterprise solutions, MSCI’s freshers hiring and early-career recruitment programs offer hands-on exposure to production-grade systems, global collaboration, and long-term career growth in a high-impact domain.
MSCI Recruitment 2025
| Particulars | Details |
|---|---|
| Company Name | MSCI |
| Job Role | Associate Software Engineer – AI & Python |
| Category | Technology |
| Solution Area | Sustainability & Climate |
| Experience | 0–3 Years (Freshers & Early Career) |
| Job Location | Pune |
| Work Mode | Hybrid |
| Salary | Expected ₹6 – ₹9 LPA |
Job Overview
The Associate Software Engineer – AI & Python role is part of MSCI’s Technology function under the Sustainability & Climate solution area. This hybrid role is based in Pune and focuses on building scalable AI, machine learning, and Generative AI systems for enterprise applications.
Selected candidates will work closely with product teams, engineers, and leadership to design and deploy intelligent systems that solve complex business problems. The role involves full lifecycle ownership, from ideation and model development to deployment and monitoring in production environments.
Key Responsibilities
As an Associate Software Engineer at MSCI, your responsibilities will span across advanced AI development and collaborative problem-solving. Key duties include:
- Designing, building, and maintaining scalable AI/ML and Generative AI solutions for enterprise platforms
- Driving the complete AI/ML lifecycle, from idea generation to deployment and performance monitoring
- Developing robust and optimized data pipelines and ML systems for production use
- Collaborating with engineering teams, product managers, and domain experts to address high-impact challenges
- Implementing clean, maintainable, and efficient machine learning architectures
- Ensuring system reliability, scalability, and low-latency performance
- Staying updated with the latest GenAI advancements and applying them to real-world use cases
- Promoting best practices in model evaluation, governance, and interpretability
- Mentoring junior engineers and contributing to a culture of innovation
Skills Required
To succeed in this role, candidates should possess strong technical and analytical capabilities along with a proactive mindset. Key skills and qualifications include:
- Strong programming proficiency in Python
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and HuggingFace
- Practical knowledge of LLMs, fine-tuning, RAG, embeddings, and prompt engineering
- Experience building and deploying AI/ML systems at scale
- Understanding of MLOps practices and tools like MLflow, Airflow, Kubeflow, Docker, and Kubernetes
- Solid foundation in data structures, algorithms, and software engineering principles
- Experience with big data tools such as Apache Spark
- Familiarity with cloud platforms like AWS, Azure, or GCP
- Strong communication skills and ability to explain technical ideas clearly
- Ability to work in fast-paced, ambiguous environments
Additional advantages include experience in multimodal AI, open-source contributions, research publications, or patents.
Why Join MSCI?
Joining MSCI means becoming part of a global organization that values innovation, diversity, and impact. Employees benefit from transparent compensation, comprehensive health and wellness programs, and flexible working arrangements. MSCI provides access to continuous learning through platforms such as Learning@MSCI and LinkedIn Learning, along with structured orientation programs.
The company also offers multi-directional career paths, allowing professionals to explore internal mobility and expanded roles. With multiple Employee Resource Groups and a strong commitment to inclusion, MSCI creates an environment where individuals can thrive both professionally and personally.
Salary Details
The salary for the Associate Software Engineer – AI & Python role at MSCI is competitive and aligned with industry standards. Compensation packages include base pay along with additional benefits such as provident fund, insurance coverage, wellness programs, and other location-specific perks.
Hiring Location
This MSCI off campus drive is hiring for Pune, with a hybrid work model that balances on-site collaboration and flexible remote work.
How to Apply
Interested candidates can apply through the official MSCI careers website. Applicants are advised to submit updated resumes and ensure that all information is accurate. MSCI does not accept unsolicited resumes through agencies, and candidates should be cautious of recruitment scams.
MSCI Apply Link : Click here
Instant Job Updates and Alerts :
Telegram Group : Click here
Join our WhatsApp Group: Click here
About the Company
MSCI is a leading provider of critical decision-support tools and services for the global investment community. With more than 50 years of experience in research, data, and technology, MSCI empowers clients to analyze risk, returns, and sustainability factors with confidence. The company’s solutions are widely used by asset managers, banks, hedge funds, and financial institutions worldwide.
MSCI is known for its strong focus on innovation, transparency, and responsible investing. Its Sustainability and Climate division helps organizations integrate environmental, social, and governance (ESG) insights into their investment strategies. Employees at MSCI work in a culture that values inclusion, continuous learning, and ownership, making it a preferred employer for technology professionals.
