Data Science Consultant (Generative AI)

As a Data Science Consultant specializing in Generative AI, you will be responsible for designing, developing, and deploying AI-driven applications. You will work closely with cross-functional teams to analyze large datasets, build predictive models, and implement innovative AI solutions. This role requires a deep understanding of data science methodologies, proficiency in programming languages such as Python, and experience with modern AI/ML tools and cloud platforms.

Roles & Responsibilities

Requirement Gathering & Strategy

• Collaborate with stakeholders to understand business needs and translate them into analytical frameworks.
• Define the problem statement, determine key objectives, and develop data-driven strategies to achieve business goals.
• Work with cross-functional teams to align AI-driven solutions with the company’s broader strategy.

Data Processing & Analysis

• Identify, collect, and preprocess structured and unstructured data from various sources.
• Implement ETL processes to clean, transform, and manage data effectively.
• Handle missing values, outliers, and ensure data quality and consistency.

Model Development & Implementation

• Design and develop AI/ML models, particularly in the domain of Generative AI and Natural Language Processing (NLP).
• Implement solutions using Generative AI methodologies such as Prompt Engineering, Retrieval-Augmented Generation (RAG), Knowledge Graph-based RAG, and Fine-Tuning techniques like LoRA/QLoRA.
• Develop and deploy scalable AI/ML models using cloud-based services such as AWS, Azure, or Google Cloud Platform (GCP).
• Utilize multi-agent frameworks for RAG, rerankers for improved performance, and evaluation frameworks such as G-Eval.

Model Deployment & Governance

• Deploy AI solutions into production, ensuring efficiency, scalability, and performance optimization.
• Implement robust input and response governance mechanisms to ensure AI solutions meet ethical and compliance standards.
• Monitor model performance, retrain when necessary, and continuously improve AI solutions.
• Develop documentation, best practices, and training material for AI implementations.

Innovation & Research

• Stay up to date with the latest advancements in Generative AI, NLP, and deep learning.
• Experiment with cutting-edge AI/ML techniques and incorporate them into business solutions.
• Develop novel applications of AI in domains such as retail analytics, customer service automation, and enterprise knowledge management.

Core Skills & Experience

Minimum Qualifications

• Bachelor’s degree in Computer Science, Statistics, Economics, Business Economics, Econometrics, Operations Research, or a related field.
• 6-8 years of experience in Data Science and Analytics.
• Strong programming skills in Python, including experience with AI/ML libraries such as TensorFlow, PyTorch, and Scikit-Learn.
• Hands-on experience with Generative AI techniques and frameworks.
• Familiarity with ETL processes, data imputation, and outlier handling.
• Experience working with cloud AI/ML services on AWS, Azure, or GCP.
• Solid knowledge of SQL and database management.

Desirable Technical Skills

• Expertise in NLP techniques, including.

  • Prompt Engineering and Fine-Tuning (LoRA, QLoRA)

  • Retrieval-Augmented Generation (RAG), Corrective RAG, and Knowledge Graph-based RAG using GPT-4o

  • Multi-agentic frameworks for RAG and rerankers

  • Evaluation frameworks like G-Eval

• Strong understanding of deep learning methods and ML techniques such as ensemble methods, support vector machines, and decision trees.
• Exposure to Big Data technologies such as Hadoop, Hive, and Spark.
• Experience with visualization tools such as Tableau, QlikView, or Power BI.

Sample Projects You Will Work On

1. GenAI-powered Self-Serve Analytics. Building an AI-driven analytics tool for a global tech giant that leverages multi-agent frameworks and Azure OpenAI services to provide real-time insights from web analytics data.
2. GenAI Document Query Bot. Creating an AI chatbot that allows users to interact with textual documents (e.g., FAQs, research reports) and receive personalized responses with citation-based validation.
3. AI for KPI Analysis. Developing a GenAI-based bot for analyzing tabular datasets and responding to queries in textual, tabular, and visual formats for a leading global event agency.
4. Advanced Information Retrieval with GenAI. Implementing AI-powered search and summarization solutions for structured data in a global technology enterprise.
5. Time Series Forecasting with TimesFM. Building advanced forecasting models for a global retail chain using state-of-the-art AI techniques.
6. GenAI-powered Shopping Assistant. Developing an AI shopping assistant for big-box retail stores, offering personalized recommendations.
7. AI-driven Knowledge Retrieval for Enterprises. Using knowledge graphs and semantic search to enhance information accessibility and decision-making.
8. Input and Response Governance in GenAI. Implementing best practices for responsible AI deployment and response validation.
9. Training Foundational Models. Working on open-source large language models (LLMs) and small language models (SLMs) to adapt them to domain-specific data.

Why Join Infogain?

Infogain is a Silicon Valley-based digital platform and software engineering company that specializes in AI-driven business transformation. We partner with Fortune 500 companies and digital-first enterprises across technology, healthcare, insurance, travel, telecom, and retail industries. As a Microsoft Gold Partner and an Azure Expert Managed Services Provider, Infogain is at the forefront of AI, automation, cloud computing, and digital transformation.

• Work on high-impact AI solutions for global enterprises.
• Collaborate with some of the brightest minds in AI and data science.
• Gain exposure to the latest Generative AI techniques and cutting-edge technologies.
• Advance your career in a company that prioritizes employee growth and professional development.

Application Process

If you are a Data Science professional looking to take the next step in your career, apply now and be part of a team that is shaping the future of AI-driven analytics!