Job Description & How to Apply Below
Your Team Responsibilities:
Development of Scalable and Efficient AI-Driven Solutions 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.
Your
Key Responsibilities:
1. Development of Scalable and Efficient AI-Driven Solutions Create AI/ML solutions that address complex business challenges.
Understand business use cases and identify where and how AI can add value.
Design, train, and validate machine learning models tailored to specific business needs.
Design solutions leveraging generative AI and LLM.
Build cost effective,scalable and high quality data solutions which will be used for critical Index products
Ensure solutions can handle large volumes of data and scale with business growth.
Optimize models and algorithms for performance and resource utilization.
2. Development of AI and Data Science-Based Solutions for Quality Check of Data Points delivered to downstream Ensure the accuracy and reliability of data through advanced data science techniques.
Define and implement metrics to assess data quality.
Develop models to detect anomalies and inconsistencies in data.
Create automated processes to validate data points against predefined standards.
Continuously refine quality check methods based on feedback and new insights.
Your skills and experience that will help you excel:
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 Tensor Flow, PyTorch, and Keras.
Programming Languages
Python :
Proficiency in Python for data manipulation, model development, and automation.
Experience with libraries such as Num Py, 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 Engine ring 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
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 work spaces.
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, Linked In 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…
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