DEVELOPER (Senior Software Engineer) - Data Analyst

Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: DEVELOPER (Senior Software Engineer) Data Analyst Position: DEVELOPER (Senior Software Engineer) Data Analyst Experience: 5 - 7 Years Category: IT Infrastructure Main location: Mumbai Position ID: J0426-1964 Responsibilities 1. RAG Architecture & Pipeline Design § Design and maintain RAG that connects CRM to LLM to provide grounded, fact bases AI responses. 2. Vector Search & NLP § Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI features. 3. MCP Server Development § Design and deploy MCP to bridge LLM with existing Data sources for real-time Retrieval. 4. Generative AI Integration § Utilize LLMs to synthesize retrieved data into accurate, user friendly natural language responses. 5. Performance Optimization § Evaluate and optimize the end-to-end latency of search and generation. 6. Data Analysis § Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that can inform business decisions. 7. Technical Leadership § Lead code reviews, ensuring adherence to coding standards, best practices, and quality requirements. § Act as a technical point of contact for complex database issues, offering solutions and recommendations to resolve them. 8. Project Coordination and Stakeholder Collaboration § Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions. 9. Quality Assurance and testing § Collaborate with QA teams to validate data quality, ensure accuracy, and troubleshoot issues identified during testing. 10. Continuous Improvement § Stay up-to on the latest tools, techniques, and best practices. § Identify opportunities for process improvements, optimizations, and automation. 11. Documentation and 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. § Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI features. § Design and deploy MCP to bridge LLM with existing Data sources for real-time Retrieval. § Design and maintain RAG that connects CRM to LLM to provide grounded, fact bases 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 details is must Technical & Behavioral Competencies Python, R, SQL Machine learning algorithms PyTorch or TensorFlow Specific Qualifications: Data Scientist Skills Referential (Required knowledge, skills and abilities) Technical Skills: o Python o Sql/Pl-Sql o Machine learning algorithms o RAG / Architecture o CRM Schema Behavioral Skills: o Active listening o Client focused o Communication skills - oral & written o Ability to deliver / Results driven Education Level: Any Graduation/Post Graduation Location: Mumbai Life at CGI: It is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons Come join our team, one of the largest IT and business consulting services firms in the world.