Develop and deploy scalable AI and machine learning solutions using Generative AI, LLMs, RAG, NLP, and Computer Vision. Manage model lifecycles with Docker, Kubernetes, and MLOps practices. Optimize vector databases, prompt engineering, and model performance while conducting SQL-based data analysis and statistical modeling. Integrate AI capabilities into business workflows and maintain reliable, scalable deployment pipelines.
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.
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