AI/ML Developer

14-18 years of work experience of Operational Research & Industrial Engineering, within logistics fields with a 5 years of hands on leveraging Ai and optimization related libraries experience

• Develop multi-agent AI frameworks geared toward container terminal operations and large-scale logistics optimization.
• Design and implement end-to-end ML pipelines, including data ingestion, feature engineering, and real-time model deployment.
• Optimize machine learning and deep learning algorithms for scheduling, resource allocation, and route planning in port environments.
• Research and evaluate emerging AI techniques (e.g., generative models) to identify potential improvements in logistics workflows.
• Collaborate with cross-functional teams to integrate AI solutions seamlessly into existing operational and IT infrastructures.
• Build and maintain robust data pipelines (data lakes, streaming frameworks) using Spark, Hadoop, and Kafka for large-scale data handling.
• Deploy AI solutions on both cloud platforms (AWS, GCP) and on-premises infrastructures, ensuring reliability, security, and compliance in high-volume environments.
• Implement and fine-tune optimization models and solvers (OR TOOLS, COIN OR, SCIP etc.) for complex port planning and container yard operations.
• Conduct in-depth research and prototyping in reinforcement learning, agent-based modeling, and specialized ML techniques.