Job Description
MSCI
AI Engineer
Full-Time
Mumbai
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.
Any Degree
Expereinced
Artificial Intelligence (AI) and Machine Learning (ML)
Understanding of machine learning algorithms, deep learning, neural networks, and reinforcement learning.
Understanding and experience on Generative AI.
Proficiency in working with large language models like GEMINI,GPT, BERT, and their variants. Experience in fine-tuning and deploying these models for various applications.
Familiarity with frameworks like TensorFlow, PyTorch, and Keras.
Programming Languages
Python: Proficiency in Python for data manipulation, model development, and automation. Experience with libraries such as NumPy, pandas, scikit-learn, and matplotlib.
Java (Good to have) : Strong skills in Java for building scalable and efficient applications. Knowledge of Java frameworks like Spring.
Oracle (Good to have): Expertise in Oracle databases, including SQL and PL/SQL. Experience in database design, optimization, and management.
Data Enginering and Cloud Solutions
Proficiency in cloud platforms like Azure or Google Cloud.
Leveraging cloud services for flexibility, scalability, and cost-efficiency
Experience with data warehousing solutions and other cloud based data storage solutions
Experience in Kubernetes and service or event driven architectures
Create AI solutions that address complex business challenges. Ensure solutions are scalable to handle large data volumes and efficient in performance. Development and Maintenance of Index Data Platforms Build and sustain platforms that generate and manage Index data. Integrate data from various sources, maintain data accuracy, and ensure reliability. Development of Data Science-Based Solutions for Quality Check of Data Points Ensure the accuracy and reliability of delivered data through advanced data science techniques. Implement metrics, detect anomalies, and validate data points to maintain high data quality.
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