HR AI Manager

Charoen Pokphand Foods (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

CPF operates integrated agro-industrial and food business, including livestock and aquaculture such as swine, broiler, layer, duck, shrimp and fish. The businesses are categorized into 3 categories, namely Feed, Farm and Food. The Company also operates retail and foods outlets.

About this position

The Digital HR AI & Machine Learning Engineer is responsible for designing, developing, and implementing AI and machine learning solutions to enhance and streamline HR processes. This role focuses on using advanced technology to improve operational efficiency, drive automation, and enhance employee experiences.

Responsibilities

• Design, develop, and deploy machine learning algorithms and AI-driven solutions tailored to streamline HR workflows and reduce manual tasks.
• Analyze HR processes to identify automation opportunities that enhance operational efficiency and decision-making.
• Analyze large HR data sets to derive insights and develop predictive models that support strategic HR initiatives.
• Provide insights into HR trends and workforce planning through data analytics, supporting decision-making and predictive workforce strategies.
• Work closely with HR stakeholders and cross-functional teams to gather data requirements, prepare datasets, and ensure accuracy for model training.
• Integrate machine learning and AI solutions into existing HR systems to drive seamless, technology-enabled processes.
• Regularly evaluate model performance and make adjustments to maintain accuracy and efficiency.
• Stay updated on advancements in AI, machine learning, and HR technology to recommend innovative improvements.
• Ensure compliance with data privacy regulations and ethical standards in all AI applications related to HR.

Requirements

• Bachelor’s degree in computer engineering, Data Science, or a related field.
• 3+ years of experience in machine learning or data science, preferably with exposure to HR-related projects.
• Proven experience in designing, implementing, and optimizing machine learning models and data pipelines.
• Proficiency in Python, R, or similar programming languages.
• Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Solid understanding of machine learning algorithms, including natural language processing (NLP) and computer vision.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques to ensure high model performance and accuracy.
• Familiarity with HR processes, data sources, and key performance indicators (KPIs) to align AI solutions effectively with HR objectives.
• Proficiency with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights and findings to HR and business stakeholders.
• Analytical and problem-solving skills to identify HR automation opportunities and resolve technical challenges.
• Ability to work with large datasets and proficient in SQL or NoSQL database management.