Job
Description
Job Description At Rolls-Royce, we look beyond tomorrow. We continually pioneer integrated power and propulsion solutions to deliver cleaner, safer and more competitive power. Rolls-Royce Power Systems is headquartered in Friedrichshafen in southern Germany and employs around 9,000 people. The product portfolio includes MTU-brand high-speed engines and propulsion systems for ships, power generation, heavy land, rail and defense vehicles and for the oil and gas industry as well as diesel and gas systems and battery containers for mission critical, standby and continuous power, combined generation of heat and power, and micro grids. Experienced and highly motivated Project Manager to oversee the Supply, Installation, Testing & commissioning of diesel / Gas generators. The Project Manager will be responsible for ensuring the successful planning, execution, and completion of generator installation projects, ensuring adherence to budget, timeline, quality, and safety standards. The role requires coordination with multiple stakeholders, including internal teams, contractors, vendors, and clients to ensure that the power infrastructure is installed and commissioned efficiently to meet operational requirements. Work with us and we ll welcome you into an inclusive culture, one that invests in your continuous learning and development, and gives you access to a wide breadth and depth of experience. Internship Program - Key opportunities and responsibilities Work side-by-side with industry experts and support the advancement of emerging technologies that shape future of TYI Mechanical Integrity & Component Designing. Gain real world experience, work hands on and be involved in day-to-day operations. Experience problem solving in real work setting. Ideal Candidate/Qualification Preferred candidate who is pursuing Master s in computer science / IT, Bachelor s candidate can be an option but after personal interview Problem solving Skills and able to interpret the requirement in code using python Good understanding about Artificial Neural Network architectures, machine learning techniques using time series and its applications. OR should have done some courses on Deep learning techniques. Curious and motivated to explore the topic or given task in depth.
