Senior Software Engineer

Infotel India; Mumbai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Infotel India is seeking a Data Scientist who will design and maintain AI/LLM products to solve specific business use cases. The role involves working with CRM data to deliver actionable insights and effective solutions.

The ideal candidate will have strong programming skills in Python and SQL, experience with machine learning, and excellent communication abilities. Join Infotel India in Mumbai to make an impact with data-driven decisions!

Qualifications

• Experience with Python, R, and SQL.
• Familiarity with machine learning algorithms and frameworks like PyTorch or TensorFlow.
• Strong analytical skills and experience in data analysis.

Responsibilities

• Design and maintain RAG that connects CRM to LLM for AI responses.
• Implement and maintain vector embeddings for semantic search.
• Lead technical projects and collaborate with stakeholders.

Skills

Python

SQL

Machine learning algorithms

RAG / Architecture

CRM Schema

Education

Any Graduation/Post Graduation

Tools

PyTorch

TensorFlow

Job description

Responsibilities

• RAG Architecture & Pipeline Design – Design and maintain RAG that connects CRM to LLM to provide grounded, fact-based AI responses.
• Vector Search & NLP – Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI features.
• MCP Server Development – Design and deploy MCP to bridge LLM with existing data sources for real‑time retrieval.
• Generative AI Integration – Utilize LLMs to synthesize retrieved data into accurate, user‑friendly natural‑language responses.
• Performance Optimization – Evaluate and optimize the end‑to‑end latency of search and generation.
• Data Analysis – Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that can inform business decisions.
• Technical Leadership – Lead code reviews, ensuring adherence to coding standards, best practices, and quality requirements; act as technical point of contact for complex database issues.
• Project Coordination & Stakeholder Collaboration – Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.
• Quality Assurance & Testing – Collaborate with QA teams to validate data quality, ensure accuracy, and troubleshoot issues identified during testing.
• Continuous Improvement – Stay up‑to‑date with the latest tools, techniques, and best practices; identify opportunities for process improvements, optimizations, and automation.
• Documentation & Standards – Ensure adherence to data governance and regulatory requirements, including security and compliance standards.

Contributing Responsibilities

• Design, develop, implement and maintain AI/LLM products to solve specific business use cases.
• Design and maintain RAG that connects CRM to LLM to provide grounded, fact‑based AI responses.
• Explore and understand the CRM data, including customer demographics, behavior, and transactional data.
• Develop and train predictive models using various machine learning algorithms and techniques.
• Deploy models in production environments, such as CRM systems.
• Monitor model performance, identify areas for improvement, and retrain models as necessary.
• Generate insights and recommendations based on data analysis and modeling results.
• Communicate insights and results to stakeholders, including business leaders.
• Identify opportunities to improve CRM data quality, processes, and systems.
• Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.
• Stay current with industry trends, new technologies, and emerging methodologies in data science and CRM.
• Excellent communication and listening skills; attention to detail is a must.

Technical & Behavioral Competencies

• Python, R, SQL.
• Machine learning algorithms.
• PyTorch or TensorFlow.

Qualifications

• Position: Data Scientist.

Technical Skills

• Python
• SQL/PL‑SQL
• Machine learning algorithms
• RAG / Architecture
• CRM Schema

Behavioral Skills

• Active listening
• Client focused
• Communication skills – oral & written
• Ability to deliver / Results driven

Education Level: Any Graduation/Post Graduation

Location: Mumbai