AI Engineer

Job Description

A. JOB PURPOSES:

- 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.

B. ACCOUNTABILITIES:

1. Develop and Deploy AI Models

- Build, train, and deploy machine learning models and AI algorithms for applications such as predictive analytics, recommendation systems, and automated decision-making processes.

2. Collaborate with Cross-Functional Teams

- 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.

3. Data Integration and Processing

- Collaborate with Data Engineers to integrate data from various systems into the Azure platform, using tools like Azure Data Factory and Azure Databricks.

4. Optimize Performance and Monitor Models

- Optimize AI models to improve performance, scalability, and accuracy; monitor and maintain models in production environments.

5. Research and Innovation

- Keep up with the latest advancements in AI, machine learning, and cloud technologies; evaluate new tools and methods that could enhance data analytics capabilities.

6. Documentation and Knowledge Sharing

- Create and maintain detailed documentation for AI models, algorithms, and processes; organize training sessions and knowledge-sharing activities with relevant teams.

C. RESULTS:

- High-accuracy AI models successfully deployed into production environments, meeting or exceeding performance and reliability standards.

- AI solutions developed align with business requirements and seamlessly integrate with existing data processes.

- Data successfully prepared and integrated to support AI model training and deployment, ensuring data quality and availability.

- AI models perform efficiently and stably, with quick response times and optimized operational costs.

- Propose and implement new technologies and methodologies that enhance the performance and value of AI solutions within the company.

- Comprehensive and easy-to-understand documentation supports collaboration and maintenance; enhanced understanding and adoption of AI across the organization.

Job Requirement

QUALIFICATIONS:

- Bachelor’s or Engineering degree in IT, Data Science.

- Related field. MS Azure Data Engineer (MS Certified) is preferred.

EXPERIENCES:

- 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.

COMPETENCIES:

- 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

LANGUAGES:

- Proficiency in English.

OTHER REQUIREMENTS:

- Customer-focused with excellent verbal and written communication skills.

- Ability to collaborate with globally diverse teams and work flexibly.

- Strong analytical thinking and problem-solving skills.

- A team player with a willingness to learn and adapt in a fast-paced environment.