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AI & Machine Learning Engineer (12 month Internship)

  • Internship
    Full-time
    Summer Internship
  • London
    Remote

AI generated summary

  • You should possess knowledge in AI and machine learning, programming skills, and a passion for innovative technologies. Strong analytical and problem-solving abilities are essential.
  • You will develop and implement AI and machine learning models, analyze data, collaborate on projects, and support research initiatives to enhance energy solutions and operational efficiency.

Requirements

  • Currently studying for a master’s in engineering, with Computer Science or AI related discipline (or just completing)
  • Ability to demonstrate and execute a project development agenda
  • Good understanding of various data analysis and modelling methods
  • Ideally possess experience in software libraries and toolboxes such as TensorFlow, Keras, Pytorch, Pandas, Matplotlib and Scikit-Learn
  • Efficiency in elementary topics in mathematics (calculus, probability, statistics, linear algebra, and optimization) and computer science (algorithms, data structures, parallel/distributed computing)
  • Experience in one or more general purpose programming languages such as Python, Java, C and C++
  • Experience in mathematical optimisation or statistical machine learning
  • SQL and Power BI experience (useful)
  • 3D CAD experience (useful)
  • Finite Element Modelling experience (useful)

Responsibilities

  • Support the study and development of data led solutions for the operation and maintenance subjects around Steam and Gas turbines.
  • Support the Engineering team for Operation and Maintenance of Mitsubishi Gas Turbines, Steam Turbines, Control Systems and Auxiliary Equipment.
  • To prepare and write technical documents, technical procedures, etc. following the instruction of the Engineering Management team.
  • Respond to internal customer requests for support in technical issue resolution, technical and analytical skills while adhering to sound engineering principles, standards, practices, and procedures.
  • Support root cause analysis for technical issues, supporting project assigned to resolve customer technical issue.
  • Document technical data generated by the assigned project consistent with engineering policies and procedures.
  • Prepare technical presentations for customers ensuring the timely communication of significant issues or developments.
  • To support unplanned/forced outages to meet availability goals.
  • Provide commercial teams with technical support for sales and services proposal activities.

FAQs

What is the primary focus of the AI & Machine Learning Internship at Mitsubishi Power?

The primary focus of the AI & Machine Learning Internship is to support the development of AI and Machine Learning initiatives to provide data-led solutions for turbine operation and maintenance activities.

Who will the AI & Machine Learning Intern report to during their internship?

The AI & Machine Learning Intern will report to the Control System and Digital Solution Manager.

What types of turbines will the intern be working with?

The intern will be working specifically with Mitsubishi Gas Turbines, Steam Turbines, Control Systems, and Auxiliary Equipment.

What are the typical responsibilities of the AI & Machine Learning Intern?

Responsibilities include supporting data-led solutions for operation and maintenance, preparing technical documents, resolving internal customer technical issues, supporting root cause analyses, documenting technical data, preparing technical presentations, aiding during unplanned outages, and providing technical support for sales and services proposal activities.

What qualifications are required to apply for this internship?

Applicants should be currently studying for a master’s in engineering, with a focus on Computer Science or a related AI discipline, or should have recently completed such a program.

What programming languages and tools should candidates be familiar with?

Candidates should have experience in Python, Java, C, and C++, as well as familiarity with software libraries such as TensorFlow, Keras, PyTorch, Pandas, Matplotlib, and Scikit-Learn.

Are there any additional skills or experiences that would be beneficial for this internship?

Beneficial skills include experience in mathematical optimization or statistical machine learning, knowledge of SQL and Power BI, and familiarity with 3D CAD and Finite Element Modelling.

What kind of analytical skills are important for this role?

A good understanding of various data analysis and modeling methods, as well as proficiency in elementary mathematics topics such as calculus, probability, statistics, linear algebra, and optimization, are important.

How does Mitsubishi Power contribute to the energy sector?

Mitsubishi Power provides innovative technology and solutions aimed at decarbonizing the power industry, including hydrogen-capable advanced class gas turbines, battery energy storage, and other solutions for reliable power generation and delivery.

How long is the internship program?

The internship program is for a duration of 12 months.

What is the significance of the role in terms of technical support and documentation?

The role is significant as it involves documenting technical data consistently with engineering policies, preparing presentations for stakeholders, and responding to technical issues, ensuring effective communication and support across teams.

Manufacturing & Electronics
Industry
10,001+
Employees
2014
Founded Year

Mission & Purpose

Mitsubishi Heavy Industries (MHI) Group is one of the world’s leading industrial firms. For more than 130 years, we have channeled big thinking into solutions that move the world forward – advancing the lives of everyone who shares our planet. We deliver innovative and integrated solutions across a wide range of industries, covering land, sea, sky and even space. MHI Group is 80,000 strong in more than 200 companies worldwide, operating in various sectors: power & energy, industrial machinery, urban infrastructure, aerospace and defense. We have a consolidated revenue of around 40 billion USD, and have consistently been a Fortune Global 500 company since the list's inception. We aim to contribute to environmental sustainability while achieving global growth, using our leading-edge technologies. By bringing people and ideas together as one, we continue to pave the way to a future of shared success.