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Remote Data Center Design Jobs in Rochester, NY (NOW HIRING)

Webbing

Sales Engineer - USA

York, NY · On-site +1

This includes documenting opportunity/customer network design, internal alignment with network ... Fully remote role. * Medical benefits. #LI-HT1

Innovative Solutions

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this ... data readiness, quality, and accessibility for AI solutions * Rapidly design and build proof-of ...

New

Innovative Solutions

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this ... data readiness, quality, and accessibility for AI solutions * Rapidly design and build proof-of ...

New

Deloitte

System Test and Validation Lead

Rochester, NY · On-site +1

... design specifications, and traceability matrices * Apply risk-based validation principles to assess ... Join our team and use advanced data, AI, and emerging technologies with industry insights to help ...

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Showing results 21-40

All JobsData Center Design JobsRemote Data Center Design JobsRemote Data Center Design Jobs in Rochester, NY

Remote Data Center Design information

How does a remote data center design professional typically collaborate with cross-functional teams during a project?

A Remote Data Center Design professional regularly works with cross-functional teams including network engineers, architects, project managers, and HVAC specialists. Collaboration often happens through virtual meetings, cloud-based design platforms, and shared documentation to ensure all infrastructure requirements are met efficiently. Clear communication is crucial, as you’ll coordinate on timelines, technical standards, and troubleshooting, often across different time zones. Building strong relationships with both internal and external stakeholders ensures that design solutions align with operational needs and industry regulations.

What is remote data center design?

Remote data center design involves planning, engineering, and managing data center infrastructure from a location separate from the physical site. Professionals in this field use digital tools and communication technologies to create layouts, specify equipment, and ensure systems meet performance, security, and efficiency standards. This approach enables collaboration across global teams and supports efficient project delivery, especially for organizations with multiple or geographically distant data centers.

What are the key skills and qualifications needed to thrive in remote data center design, and why are they important?

To thrive in Remote Data Center Design, you need a solid background in electrical and mechanical engineering, data center infrastructure standards, and experience with site planning and design, often supported by a relevant engineering degree or certification. Familiarity with CAD software, Building Information Modeling (BIM), and industry standards like ASHRAE or Uptime Institute Tier classifications is typically required. Strong project management, problem-solving abilities, and effective communication are crucial soft skills for coordinating remote teams and stakeholders. These skills ensure data centers are efficiently designed, compliant, and resilient, supporting critical business operations.

What is the difference between Remote Data Center Design vs Data Center Technician?

AspectRemote Data Center DesignData Center Technician
Primary FocusPlanning and designing data center infrastructure remotelyMaintaining and troubleshooting data center hardware onsite or remotely
Required SkillsNetwork architecture, system design, project managementHardware installation, troubleshooting, equipment maintenance
Work EnvironmentOffice or remote, involving collaboration with engineers and clientsData center facilities, often onsite, with some remote support
CertificationsCCNP, Cisco Data Center certifications, PMPCompTIA Server+, Cisco CCNA, Data Center certifications

Remote Data Center Design involves planning and designing data center infrastructure remotely, focusing on architecture and project management. Data Center Technicians handle hardware setup, maintenance, and troubleshooting, often onsite. While both roles require technical certifications, their daily tasks and work environments differ significantly.

What are the most commonly searched types of Data Center Design jobs in Rochester, NY? The most popular types of Data Center Design jobs in Rochester, NY are:
What are popular job titles related to Remote Data Center Design jobs in Rochester, NY? For Remote Data Center Design jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Center Design jobs in Rochester, NY look for? The top searched job categories for Remote Data Center Design jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Data Center Design jobs? Cities near Rochester, NY with the most Remote Data Center Design job openings:
Remote Data Center Design jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Geneseo, NY • Remote

Full-time

Re-posted 16 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