Infosys - Data Scientist - Generative AI

Job Summary :

We are seeking an experienced Data Scientist with strong analytical capabilities and hands-on expertise in machine learning, predictive modeling, and Generative AI. The ideal candidate will work on building intelligent, scalable data-driven solutions that enable prediction, automation, and enhanced decision-making across business functions.

This role requires the ability to design models end-to-end, deploy them as APIs, and clearly communicate insights to both technical and non-technical stakeholders.

Key Responsibilities :

- Build, train, evaluate, and deploy machine learning and statistical models.

- Develop predictive models, recommendation engines, customer segmentation, and scenario analysis.

- Apply advanced statistical techniques including regression, hypothesis testing, and distribution analysis.

- Design and implement Generative AI solutions, including LLM-based use cases.

- Host machine learning models and expose them via APIs for enterprise consumption.

- Enhance existing datasets through data enrichment, feature engineering, and prediction layers.

- Collaborate with cross-functional teams to translate business problems into analytical solutions.

- Present insights, findings, and model outcomes to stakeholders in a clear and understandable manner.

- Ensure model scalability, performance, and monitoring in production environments.

Required Skills & Experience :

Technical Skills :

- 5+ years of experience in Data Science or Applied Machine Learning roles.

- Hands-on experience in machine learning model development and training.

- Solid understanding of basic and advanced statistics :

• Mean, Variance, Standard Deviation
• Regression techniques
• Statistical testing and distributions

- Hands-on exposure to Generative AI, LLMs, prompt engineering, and fine-tuning.

- Experience in deploying models as REST APIs.

- Working knowledge of SQL for data extraction and manipulation.

- Excellent analytical and problem-solving skills.

- Strong communication and presentation skills with the ability to explain complex concepts to non-technical audiences.

- Ability to work independently in a fast-paced, data-driven environment.

- Predicting future events and automating intelligent decision-making.

- Data enhancement and advanced feature engineering.

- Building scalable AI-driven solutions for real-world business problems.