AI/ML Engineer

Overview

Design and operate AI-driven automated workflows and ML pipelines that improve business efficiency and enable non-technical users to use AI capabilities.

What you'll do

• Design, develop, and optimize AI-driven automated workflows to enhance business efficiency.
• Collaborate with cross-functional teams to analyse business processes and identify AI automation opportunities.
• Integrate machine learning models, NLP, computer vision, and other AI technologies into enterprise workflows.
• Build and maintain AI pipelines, including data collection, preprocessing, model deployment, and monitoring.
• Develop customized AI tools and interfaces to enable non-technical users to leverage AI capabilities.
• Continuously monitor AI workflow performance metrics and implement improvements.
• Ensure AI systems comply with data privacy and security regulations.

What you'll need

• Bachelor's or master's degree in computer science, AI, or a related field.
• 2+ years of experience in AI/ML development, with proficiency in frameworks like TensorFlow/PyTorch.
• Strong Python skills and experience with API development (REST/gRPC) and microservices architecture.
• Hands-on experience with workflow automation tools (e.g., Dify, N8N, fastGPT, langchain).
• Excellent problem-solving skills and a data-driven mindset.

Nice to have

• Fine-tuning experience.
• Experience with RPA tools (UiPath/Automation Anywhere) or low-code platforms.
• Working knowledge of Java and Spring Boot.
• Knowledge of LLM application development (e.g., GPT, Claude-based solutions).
• Experience with containerization (Docker/Kubernetes) and MLOps practices.
• Domain expertise in AI implementation for industries like Logistics, FinTech, etc.
• Freight forwarding knowledge.