Aloha Consulting Group

This is a remote position.

Lead and execute a seamless data migration from existing systems to the IFS platform, with a strong emphasis on preserving data integrity and accuracy.

Collaborate closely with cross-functional teams to implement IFS solutions aligned with the objectives of the automated mining machinery project.

Drive the successful deployment of IFS modules, ensuring they deliver optimal performance and functionality in the mining context.

Integrate machine learning and IoT capabilities into the IFS ecosystem to amplify operational efficiency and predictive maintenance strategies.

Offer technical guidance and mentorship to internal teams, fostering an environment of continuous learning and innovation.

Stay updated on industry trends and best practices in IFS, machine learning, IoT, and mining technologies, enabling the proposal of inventive solutions.


A Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree would be a valuable asset.

A minimum of 3 years of practical experience involving IFS, encompassing data migration, implementation, deployment, and integration.

Proficiency in programming languages commonly utilized in machine learning and IoT development, such as Python, R, Java, and C++.

Demonstrated expertise in seamlessly incorporating IFS into the realms of machine learning and IoT.

Self-driven and adaptable, showcasing a genuine enthusiasm for keeping pace with emerging technologies.

Prior engagement in projects related to automated machinery, robotics, or AI-driven mining technologies (is a plus).

A substantial comprehension of the mining domain and its distinctive challenges, with hands-on experience in mining operations conferring a noteworthy advantage (is a plus).

Aloha Consulting Group

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