CustomerXPs
Employees - 100+, Positions - 6+, Salary - 0 - 0 , Industry Type - IT - Software
CustomerXPs Overview
CustomerXPs Active Jobs
Senior Presales Consultant
CustomerXPs
Office Location
Full Time
- banking solutions
- Financial institutions
- Sales Support
- Client Engagement
- Fraud Management
- Aml
- product demonstrations
- Solution consultation
- Training
- Mentoring
Salary Information not included
Data Scientist AI ML Team
- CustomerXPs
- Office Location
- Full Time
- data science
- Machine Learning
- Artificial Intelligence
- Probability
- Statistics
- linear algebra
- R
- Python
- SQL
- natural language processing
- Recommender Systems
- Social Network Analysis
- big data technologies
Salary Information not included
Technical Lead - Product Development
- CustomerXPs
- Office Location
- Full Time
- Java
- spring boot
- relational databases
- Hibernate
- Kafka
- Redis
- JavaScript
- Git
- SVN
- Analytical skills
- Communication skills
- Security Best Practices
- ORM frameworks
- Container technology
- GoLang
- Problemsolving
Salary Information not included
Business Development Manager America and Europe
- CustomerXPs
- Office Location
- Full Time
- Business Development
- Bfsi
- Sales
- Communication
- Presentation
Salary Information not included
MySQL Database Administrator
- CustomerXPs
- Office Location
- Full Time
- Disaster Recovery
- Database design
- Performance tuning
- query optimization
- security administration
- MYSQL DBA
- MySQL configuration
- MySQL cluster setups
- Data Warehouse replication
- MYSQL Replication setup
- backup
- recovery
Salary Information not included
Architect(Generative AI & LLM expert)
- CustomerXPs
- Office Location
- Full Time
- Machine Learning
- natural language processing
- Deep Learning
- leadership skills
- Strategic Thinking
- Generative Ai
- LLM
- Model Training FineTuning
- Data Preparation Preprocessing
- Prompt Engineering
- Model Evaluation Optimization
- collaboration with crossfunctional teams
- Documentation Reporting
- managing
- training LLM models
- Generating embeddings
- Semantic search via Vector DBs
- MLOps experience
- machine learning pipelines
- Model optimization
- Feature Engineering
- database indexing
- Data retrieval methods
- Deploying ML models in cloud environments
- Optimizing model inference