AI Engineer
As an AI Engineer at De Heus Animal Nutrition, you will play a critical role in designing, developing, and implementing advanced AI and machine learning solutions to enhance our data analytics capabilities. You will work closely with various stakeholders, including Data Engineers, Data Visualization Specialists, Data and Digital Business Partners, and business key stakeholders, to ensure that AI solutions align with business needs and objectives. You will report directly to the Data Solution Architect Lead and collaborate closely with the Solution Architect to integrate AI models into our Azure-based data platform.
Vị trí tuyển dụng
HO CHI MINH CITY
FULL-TIME
Bachelor’s or Engineering degree in IT, Data Science.
AI Engineer
Job Description:
- Build, train, and deploy machine learning models and AI algorithms for applications such as predictive analytics, recommendation systems, and automated decision-making processes.
- Work closely with the Solution Architect, Data Engineers, Data Visualization Specialists, Data and Digital Business Partners, and business stakeholders to gather requirements and design suitable AI solutions.
- Collaborate with Data Engineers to integrate data from various systems into the Azure platform, using tools like Azure Data Factory and Azure Databricks.
- Optimize AI models to improve performance, scalability, and accuracy; monitor and maintain models in production environments.
- Keep up with the latest advancements in AI, machine learning, and cloud technologies; evaluate new tools and methods that could enhance data analytics capabilities.
- Create and maintain detailed documentation for AI models, algorithms, and processes; organize training sessions and knowledge-sharing activities with relevant teams.
Requirements:
- Bachelor’s or Engineering degree in IT, Data Science.
- Related field.MS Azure Data Engineer (MS Certified) is preferred.
- Minimum 3 to 5 year of experience in successfully role of Data Engineer.
- Minimum 1 year of experience in AI Generative.
- Azure Synapse Link hands on experience is an advantage.
- Very strong @ SQL-PL SQL-Spark SQL
- Interaction with No SQL Databases
- Interaction with Event Hub, IoT Hub Databases
- Files Processing XML, CSV, Excel, Jason, etc. formats
- Structured and Non-Structured Data processing
- Data ETL Capabilities.
- Knowledge of Distributed Big Data Processing
- Data Warehouse and Data Lake Implementation experience in past.
- Interaction with REST APIs, Web Services
- Proficiency in data programming languages such as Python, R, Java, C#, and tools like Jupyter, VS Studio Code
- Proficiency in English