Senior Data Scientist - Generative AI & LLM Solutions

Key Responsibilities

- Collaborate with business stakeholders and SMEs to understand business context and key questions.

- Create Proof of Concepts (POCs) / Minimum Viable Products (MVPs) and guide them to production deployment.

- Influence machine learning strategy for digital programs and projects.

- Recommend solution designs balancing speed to market and analytical rigor.

- Develop analytical and modeling solutions using commercial and open-source tools (Python, R, TensorFlow).

- Combine machine learning algorithms with other techniques such as simulations for model-based solutions.

- Design, adapt, and visualize solutions to evolving requirements, communicating via presentations and storytelling.

- Deploy algorithms to production for actionable insights from large, multiparametric datasets.

- Automate processes for predictive model validation, deployment, and operationalization.

- Work across AI pillars including cognitive engineering, conversational bots, and data science solutions.

- Ensure solutions exhibit high performance, scalability, maintainability, and reliability.

- Lead peer reviews, provide thought leadership, and share best practices across geographies.

Technical Skills

Mandatory Skills:

- LLMs (Large Language Models), chunking strategies, and prompt engineering

- Cloud AI services primarily Azure AI, AWS SageMaker, or GCP AI services

- Open-source frameworks: LangChain, LlamaIndex

- Vector databases and token management

- Knowledge graphs and vision-based AI

Additional Technical Skills:

- Advanced programming in Python or R

- ML frameworks: TensorFlow, PyTorch, Scikit-learn

- Data querying languages: SQL, Hive, Hadoop, Scala

- Feature engineering and hyperparameter optimization

- Data engineering and cloud data tools: Azure Data Factory, Databricks, Synapse, Data Lake

- Agile methodology and CI/CD best practices for ML/AI deployments

Education

- Bachelor of Science (B.Sc) or Bachelor of Engineering (B.E/B.Tech) in Computer Science, Data Science, AI, or related field

- Advanced degrees (M.Sc, M.Tech, or PhD) in relevant fields.

Required Qualifications & Experience

- 6-9 years of work experience as a Data Scientist with hands-on experience in Generative AI/LLMs

- Proven experience in developing, deploying, and operationalizing AI solutions in production environments

- Strong business focus with the ability to translate business problems into AI/ML solutions

- Experience in leading AI projects, guiding teams, and providing technical leadership

- Excellent communication and problem-solving skills