Apply for MSCI Off Campus Drive 2025! Hiring Associate Software Engineer Job in Pune for 1+ Years. Build scalable GenAI/ML solutions, data pipelines, LLMs, RAG with PyTorch/TensorFlow. Drive AI strategy, MLOps, cloud deployment for sustainability impact.
Candidates who are interested in MSCI Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Associate Software Engineer job – AI & Python
Company: MSCI
Qualifications: BE/BTech
Experience Needed: 1+ Years
Job Req ID: 2025-3976
Location: Pune
Start Date: 24th November 2025
Click here to Join on WhatsApp:- https://wa.link/28qo7j
Click here to Join on Telegram:- https://telegram.me/qaidea
Your Team Responsibilities
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.
Your Key Responsibilities
- We are looking for a seasoned AI/ML engineer with a deep passion for data and innovation, a proactive mindset, and strong ownership of solutions. You will play a pivotal role in shaping our generative AI initiatives, delivering impactful and scalable intelligence across business verticals within Sustainability and Climate Org.
- Lead the design and implementation of machine learning, deep learning, and GenAI systems.
- Collaborate across engineering, product, domain experts, and senior leadership to identify and solve high-impact problems with AI.
- Architect clean, maintainable, and efficient ML and data pipelines using modern frameworks and cloud services.
- Develop and deploy AI models into production environments, ensuring resilience, scalability, and low latency.
- Stay ahead of the curve in GenAI advancements and infuse them into real-world use cases.
- Champion best practices in model training, evaluation, interpretability, and governance.
- Guide and mentor junior team members, fostering innovation and excellence.
Your skills and experience that will help you excel
- Strong programming skills in Python, with hands-on experience in ML libraries like TensorFlow, PyTorch, HuggingFace Transformers, Scikit-learn, etc.
- Proven expertise in building and deploying AI/ML systems at scale (batch or real-time).
- Practical experience with GenAI techniques including LLMs, fine-tuning, RAG, embeddings, prompt engineering, etc.
- Solid understanding of MLOps best practices and familiarity with tools like MLflow, Airflow, Kubeflow, and Docker/Kubernetes.
- Deep knowledge of data structures, algorithms, and software engineering principles.
- Strong grasp of data modeling, feature engineering, and large-scale data processing with Spark or similar technologies.
- Experience with cloud platforms (AWS, Azure, GCP) and their respective AI toolkits.
- Excellent communication skills and ability to translate technical concepts to non-technical stakeholders.
- Comfortable working in fast-paced environments and navigating ambiguity.
- Self-motivated and driven by impact, with a strong sense of ownership and initiative.
- Experience with multimodal AI (text, vision, audio).
- Publications, open-source contributions, or patents in AI or ML.
Apply Now for MSCI Associate Software Engineer Job
How to Apply MSCI Off Campus Drive 2025
Click on Apply to Official Link MSCI Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Explain your experience building and deploying ML models with TensorFlow or PyTorch at scale.
- Describe implementing RAG, embeddings, or prompt engineering for GenAI applications.
- How do you design scalable data pipelines using Spark or Airflow for ML workflows.
- Walk through MLOps best practices with MLflow, Kubeflow, or Docker/Kubernetes.
- What feature engineering techniques have you used for large-scale AI systems.
- How do you ensure model interpretability, governance, and resilience in production.
- Describe collaborating on AI strategy with product teams and leadership.
- Share an open-source contribution or publication in AI/ML and its impact.
- How do you handle multimodal AI (text/vision/audio) in real-world use cases.
- Explain end-to-end AI lifecycle from ideation to monitoring and optimization.
Selection Process:
- Resume screening for AI/ML projects, Python, GenAI, and MLOps experience.
- Initial technical discussion on Python, ML libraries, and cloud platforms.
- Coding/ML rounds testing model building, pipelines, and deployment scenarios.
- Final behavioral interview on ownership, communication, and sustainability domain fit.
Pro tip:
Build a GitHub portfolio with GenAI projects (RAG/LLM fine-tuning), MLOps pipelines, and cloud ML deployments. Highlight publications/open-source work and explain business impact of your AI solutions.
