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Remote Data Center Mechanical Engineer Jobs in Indiana

Qualus

Senior Relay Field Technician

Indianapolis, IN · On-site +1

$40 - $70/hr

Commission new substations, power equipment, relaying (electro-mechanical, solid state and ... data center, and government clients, and renewable and energy storage developers, offering ...

Harris

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Harris

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

SAIC

Data Analyst

Bedford, IN · Remote

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and ... Collaborate with government data stewards, data engineers, and IT personnel to ensure data ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

Toyota

Project Engineer

Indianapolis, IN · On-site +1

... year Bachelor's degree in Mechanical Engineering, Electrical Engineering or Mechatronics ... Employees must follow all information security policies, protect confidential data, complete ...

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Remote Data Center Mechanical Engineer information

What is the difference between Remote Data Center Mechanical Engineer vs Data Center Electrical Engineer?

AspectRemote Data Center Mechanical EngineerData Center Electrical Engineer
CredentialsBachelor's in Mechanical Engineering, certifications like LEED or HVAC licensesBachelor's in Electrical Engineering, certifications like PE, NICET, or LEED
Work EnvironmentDesigning HVAC, cooling, and mechanical systems for data centers, often remotely or on-siteDesigning electrical systems, power distribution, and backup systems, often on-site or remotely
Industry UsageCommonly employed in data center construction and maintenance projectsIntegral to data center power infrastructure and electrical system management

The Remote Data Center Mechanical Engineer focuses on mechanical systems like cooling and HVAC, ensuring optimal climate control for data centers. In contrast, the Data Center Electrical Engineer specializes in electrical power systems, including backup power and distribution. Both roles require technical certifications and are vital in data center design and operation, often working collaboratively to ensure efficient, reliable infrastructure.

What are some common challenges faced by remote data center mechanical engineers, and how can they be addressed?

Remote Data Center Mechanical Engineers often face challenges such as troubleshooting complex HVAC systems without being on-site, coordinating with local technicians for hands-on tasks, and ensuring efficient communication across time zones. To address these, engineers rely on real-time monitoring tools, detailed documentation, and regular virtual meetings with on-site staff. Building strong relationships with local teams and staying proactive with preventive maintenance planning can significantly improve operational efficiency and minimize downtime.

What are the key skills and qualifications needed to thrive as a remote data center mechanical engineer, and why are they important?

To thrive as a Remote Data Center Mechanical Engineer, you need a strong background in mechanical engineering, HVAC systems, and data center infrastructure, typically supported by a bachelor's degree in mechanical engineering and relevant experience. Familiarity with industry-standard design software like AutoCAD, Revit, and building management systems (BMS), as well as certifications such as LEED or PMP, is often required. Excellent problem-solving, communication, and remote collaboration skills help ensure effective project management and issue resolution from a distance. These competencies are crucial for maintaining optimal data center performance, minimizing downtime, and ensuring energy efficiency in a remote work environment.

What does a remote data center mechanical engineer do?

A Remote Data Center Mechanical Engineer is responsible for designing, monitoring, and maintaining the mechanical systems that support data centers, such as cooling, ventilation, and HVAC systems, often while working offsite. They ensure that the data center environment operates efficiently and reliably, preventing overheating and equipment failure. These engineers use specialized software and remote monitoring tools to analyze system performance, troubleshoot issues, and coordinate with on-site teams for repairs or upgrades. Their work is crucial for keeping servers and other IT infrastructure running smoothly and safely.
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Remote Data Center Mechanical Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Evansville, IN • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply