JOB DESCRIPTION:
Core Responsibilities
1. Data Architecture & Pipeline Design
- Identify good data set and data candidates for building AI based recommendation engine
- Design denormalized data structures optimized for LLM consumption
- Aggregate data from multiple CRM modules/tables into one for LLM consumption
- Implement data quality monitoring and validation frameworks
2. CRM Data Expertise
- Analyze complex CRM schemas (Accounts, Opportunities, Notes, Order History, Account Actuals)
- Understand business relationships between entities and their impact on recommendations
- Map data lineage from source systems to AI-ready datasets
3. AI/ML Data Preparation
- Data preprocessing and normalization for LLM consumption
- Create training datasets for recommendation model improvement
- Implement data versioning for model reproducibility
4. Performance Optimization
- Query optimization for large-scale data aggregation
- Caching strategies for frequently accessed recommendation data
- Scalability planning for growing data volumes
Required Technical Skills
Core Data Engineering (Must-Have)
- SQL Expertise: Advanced Oracle query optimization, complex joins, window functions
- ETL/ELT Tools: Informatica or similar
- Programming: Python basics, SQL, basic understanding of Java
AI/ML Data Specialization (Important)
- Feature Engineering: Experience with recommendation systems, time-series analysis
- Data Preprocessing: Normalization, encoding, handling missing data for ML models
- Vector Databases: Experience with embedding storage and retrieval
- LLM Data Preparation: Understanding of context windows, token optimization, prompt engineering data needs
CRM/Business Systems (Important)
- CRM Platforms: SugarCRM, Salesforce, or similar enterprise CRM systems
- Data Governance: Understanding of data privacy, security, and compliance requirements
Prior Apple experience would be preferred.
Salary Range: $90,000-$125,000 a year
#LI-AS3
Desired Skills
Artificial Intelligence | Machine Learning
Salary Range
$90,000-$125,000 a year
Desired Candidate Profile
Qualifications : BACHELOR OF TECHNOLOGY