AI Engineer – Supply Chain and ESG (English Speaker Welcome)

Job Description

As an AI Engineer, you will play a crucial role in designing, developing, and implementing AI-driven solutions to optimize supply chain operations and drive sustainable business practices aligned with ESG principles. You will work closely with cross-functional teams, including supply chain experts, data scientists, and sustainability specialists, to leverage the power of artificial intelligence and machine learning to enhance supply chain efficiency, reduce environmental impact, and improve social responsibility.

Responsibilities:
Analyze supply chain data and identify opportunities for AI-based optimization and automation
Design and develop AI models and algorithms to predict demand, optimize inventory management, enhance logistics, and minimize waste
Implement AI-powered solutions to monitor and track environmental, social, and governance (ESG) metrics across the supply chain
Collaborate with data scientists to develop predictive analytics models that support decision-making for sustainability initiatives
Integrate AI-powered systems with existing enterprise resource planning (ERP) and supply chain management (SCM) platforms
Ensure the scalability, reliability, and security of AI-based supply chain and ESG solutions
Continuously monitor and optimize the performance of AI models, addressing any issues or biases
Provide technical expertise and support to cross-functional teams, training users on the AI-powered tools and applications
Stay up-to-date with the latest advancements in AI, machine learning, and supply chain management technologies
Contribute to the development of AI ethics and governance frameworks to ensure responsible and ethical AI deployment
Required Qualifications:

Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field
3-5 years of experience in developing and deploying AI/ML-based solutions, preferably in the supply chain or sustainability domains
Proficient in programming languages such as Python, TensorFlow, PyTorch, or similar
Strong understanding of machine learning algorithms, deep learning, natural language processing, and computer vision
Experience in designing and implementing scalable, secure, and reliable AI/ML systems
Familiarity with supply chain management concepts, including forecasting, inventory optimization, and logistics
Knowledge of ESG principles and sustainability metrics
Excellent problem-solving, analytical, and critical-thinking skills
Strong collaboration and communication skills to work effectively with cross-functional teams
Experience in implementing AI-powered solutions in a supply chain or sustainability-focused environment
Certification in AI/ML, supply chain management, or sustainability
Understanding of enterprise architecture and experience in integrating AI systems with existing IT infrastructure
Familiarity with supply chain management software (e.g., ERP, WMS, TMS) and data visualization tools
Knowledge of supply chain risk management, sustainability reporting, and regulatory compliance