Responsibilities
- RAG Architecture & Pipeline Design
§ Design and maintain RAG that connects CRM to LLM to provide grounded, fact bases 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 a technical point of contact for complex database issues, offering solutions and recommendations to resolve them.
- Project Coordination and Stakeholder Collaboration
§ Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.
- Quality Assurance and testing
§ Collaborate with QA teams to validate data quality, ensure accuracy, and troubleshoot issues identified during testing.
- Continuous Improvement
§ Stay up-to on the latest tools, techniques, and best practices.
§ Identify opportunities for process improvements, optimizations, and automation.
- 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:
- 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
Skills Required
- Python
- R
- SQL / PL-SQL
- PyTorch or TensorFlow
- Machine learning algorithms and model development
- RAG architecture experience
- Vector embeddings / Vector search / NLP
- CRM schema knowledge
- Experience deploying and monitoring models in production
What We Do
Infotel UK Consulting: Shaping technical innovation, digital transformation and data management We are at the forefront of technical innovation and digital transformation, providing data management systems, process improvement applications, software design, systems migration, and systems integration. We are also a software vendor, with our GDPR compliance software—Deepeo. We work with clients across numerous business sectors, including automotive, the financial sector, the public sector, and supply chain and logistics. Infotel UK is a subsidiary of The Infotel Conseil Group. Infotel UK was established in 2015 and is headquartered in Newcastle upon Tyne. With the growth of our UK business, we invested in a purpose-built innovation lab, allowing us to further support businesses with their IT requirements. Being part of a global group gives us access to 20 service centres throughout Europe and the USA, making us the perfect local partner to team up with.
