AI/ML DATA SCIENTIST

Summary

We are seeking a highly skilled AI/ML Data Scientist to join our IT Services division. In this pivotal role, you will leverage advanced technologies such as Generative AI, Large Language Models, and Retrieval-Augmented Generation to drive innovation. The position demands a deep understanding of Natural Language Processing and Computer Vision, alongside robust expertise in deploying machine learning solutions within containerized environments. You will play a critical part in analyzing complex datasets, optimizing model performance, and ensuring the seamless integration of AI capabilities into our business workflows.

Responsibilities

• Design, develop, and deploy scalable machine learning models utilizing Generative AI, LLMs, and RAG architectures.
• Engineer sophisticated solutions for Natural Language Processing and Computer Vision tasks to enhance product intelligence.
• Manage the lifecycle of AI applications using Docker and Kubernetes to ensure reliability and scalability.
• Implement and optimize vector databases while refining prompt engineering strategies for improved model outputs.
• Conduct in-depth data analysis and statistical modeling using SQL to extract actionable insights from large datasets.
• Oversee the end-to-end deployment of ML models, including MLOps practices for continuous integration and delivery.

Requirements

Requirements:

• Possess between 5.5 and 8 years of professional experience in data science and machine learning engineering.
• Demonstrate proven expertise in Generative AI, Large Language Models, and Retrieval-Augmented Generation techniques.
• Show strong proficiency in NLP and Computer Vision methodologies.
• Have hands-on experience with containerization tools such as Docker and orchestration platforms like Kubernetes.
• Be skilled in working with Vector Databases and advanced Prompt Engineering practices.
• Exhibit solid capabilities in SQL querying and comprehensive data analysis.
• Maintain a strong background in Machine Learning algorithms, Statistical Analysis, and Model Deployment pipelines.
• Be prepared to work within the salary range of ₹20 - 28 LPA.