HCL Technologies

Overview of job

We are looking for a talented Data Engineer to join our team and work on developing an internal enterprise chatbot using GPT and Llama models. 

The ideal candidate will be responsible for designing, building, and maintaining the data pipeline for the project, ensuring that data is available, reliable, and accurate for machine learning models. 

Key Responsibilities: 

• Design, build, and maintain the data pipeline for Machine Learning models 
• Develop and maintain data pipelines for processing and storing large amounts of data
• Collaborate with data scientists and machine learning engineers to ensure data is ready for use by the chatbot. 
• Design and implement data models and schema to support the chatbot's natural language processing capabilities. 
• Develop and maintain data quality standards and processes to ensure data accuracy and completeness. 
• Ensure data security and compliance with data privacy regulations. 
• Continuously monitor and optimize the performance of the data infrastructure and pipelines 
• Provide technical guidance and support to other team members as needed.

• 18 paid leaves/year (12 annual leaves and 6 personal leaves) 

• Insurance plan based on full salary + 13th month salary + Performance bonus 

• Meal allowance of 730,000 VND/month 

• 100% full salary and benefits as an official employee from the 1st day of working 

• Medical benefit for employee and family 

• Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 53 countries) 

• Free snacks, refreshment, and parking 

• Internal training (Technical & Functional & English)

• Working time: 8:30 AM - 6:00 PM from Mondays to Fridays

Must-have requirements 

• At least 4 years of experience working as a Data Engineer
• Good experience in some projects with Machine Learning 
• Experience with Data Staging, Data Transformation and Change Data Management
• Good experience in Advanced SQL
• Good Python skills
• Experience in AWS platform
• Good command of English communication

Good-to-have requirements.

• Relative experience in declarative CI/CD or DevOps 
• Relative experience in Infrastructure as a Code (IaaC) (i.e., Terraform) 
• Experience with automated testing 
• Relative experience in Data Management: Data Governance, Data Architecture, Data Modelling, Data Quality, Data integration 
• Experience in designing and implementing machine learning models using GPT and LLaMA models
• Experience in MLOps
• Experience with natural language processing (NLP) and conversational AI is preferred.