AI/ML Developer

Job Description

411_2674857

Overview

The AI/ML Developer role at Dicetek LLC seeks an experienced professional in Operational Research and Industrial Engineering within logistics, with 14-18 years of work experience in that field, including 5 years of hands-on leveraging Ai and optimization related libraries experience.

Responsibilities

• 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.

Qualifications

• 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




• Experience designing and implementing end-to-end ML pipelines, including data ingestion, feature engineering, and real-time model deployment




• Experience deploying AI solutions on cloud platforms (AWS, GCP) and on-premises infrastructures




• Experience building and maintaining robust data pipelines (data lakes, streaming frameworks) using Spark, Hadoop, and Kafka




• Experience implementing optimization models and solvers (OR TOOLS, COIN OR, SCIP) for complex port planning and container yard operations




• Experience with reinforcement learning, agent-based modeling, and specialized ML techniques

Job details

• Seniority level: Not Applicable




• Employment type: Contract




• Job function: Engineering and Information Technology




• Industries: IT Services and IT Consulting

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2025-11-11 12:36:56