Senior Software Engineer

§  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. 

1. Project Coordination and Stakeholder Collaboration

§  Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions. 

1. Quality Assurance and testing

§  Collaborate with QA teams to validate data quality, ensure accuracy, and troubleshoot issues identified during testing. 

1. Continuous Improvement

§  Stay up-to on the latest tools, techniques, and best practices. 

§  Identify opportunities for process improvements, optimizations, and automation. 

1. 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