Company Overview :

Ezeiatech is a technology-driven organization specializing in building scalable digital products and enterprise solutions. Operating at the intersection of software engineering and data intelligence, the company empowers businesses to modernize their infrastructure and leverage emerging technologies. With a focus on high-impact delivery, Ezeiatech works across diverse sectors to solve complex technical challenges, fostering a culture of innovation, rapid experimentation, and engineering excellence.

Role Overview :

As a Data Scientist at Ezeiatech, you will be at the forefront of integrating advanced AI capabilities into our product ecosystem. You will work closely with cross-functional engineering and product teams to design, develop, and deploy intelligent models that solve real-world business problems.

Your day-to-day will involve translating ambiguous requirements into robust machine learning pipelines, with a specific focus on leveraging Large Language Models and Generative AI to enhance user experiences and operational efficiency. You will play a critical role in shaping our data strategy and ensuring our solutions remain at the cutting edge of the industry.

Key Responsibilities :

- Architect and implement RAG-based systems to improve the accuracy and relevance of information retrieval for enterprise applications.

- Develop and fine-tune Generative AI models to automate complex workflows and enhance content generation capabilities.

- Design end-to-end Machine Learning pipelines, from data ingestion and feature engineering to model deployment and monitoring.

- Collaborate with stakeholders to identify high-impact use cases for NLP and Deep Learning that drive measurable business growth.

- Optimize existing models for performance, scalability, and cost-efficiency to ensure seamless integration into production environments.

- Maintain a rigorous approach to data quality and model evaluation to ensure high standards of reliability and ethical AI usage.

Required Skillset :

- Demonstrated proficiency in building and deploying LLM-based applications and RAG frameworks in a production environment.

- Strong command over NLP techniques and Deep Learning architectures, with the ability to implement custom solutions for unstructured data.

- Expertise in Python and core data science libraries, combined with a deep understanding of machine learning algorithms and statistical modeling.

- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders effectively.

- A proactive mindset with 1-5 years of experience in developing data-driven products, capable of working in a fast-paced, hybrid environment in Gurgaon.

- A degree in Computer Science, Mathematics, Statistics, or a related quantitative field, reflecting a strong foundation in analytical thinking.