Senior Associate AI ML Engineer at MSCI

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 25

Salary

0.0

Posted On

29 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Deep Learning, GenAI, MLOps, Data Structures, Algorithms, Software Engineering, Data Modeling, Feature Engineering, Cloud Platforms, Communication Skills, Multimodal AI, TensorFlow, PyTorch, HuggingFace Transformers

Industry

Financial Services

Description

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. 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 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. 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 Disability.Assistance@msci.com 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 careers.msci.com

Responsibilities

Architect, build, and maintain scalable AI/ML and GenAI solutions for enterprise applications. Drive end-to-end AI/ML lifecycle from ideation to deployment and monitoring.