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Remote Surgical Robotics Engineer Jobs in Minnesota

As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like ... We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ...

Lead up to 12 people to safely complete upgrade and overhaul projects involving programming ... Associate's Degree in Automation, Electronics, Robotics, Computer Science, or similar Experience ...

... engineering deliverables. This position offers strong opportunities for growth, especially for ... robotic total station, data collectors) preferred but not required * Experience operating remote ...

... engineering deliverables. This position offers strong opportunities for growth, especially for ... robotic total station, data collectors) preferred but not required * Experience operating remote ...

... engineering deliverables. This position offers strong opportunities for growth, especially for ... robotic total station, data collectors) preferred but not required * Experience operating remote ...

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Remote Surgical Robotics Engineer information

What is the difference between Remote Surgical Robotics Engineer vs Surgical Robotics Technician?

AspectRemote Surgical Robotics EngineerSurgical Robotics Technician
Required CredentialsBachelor's or higher in engineering, certifications in robotics or medical devicesAssociate's or technical diploma, certifications in surgical robotics maintenance
Work EnvironmentDesign, develop, and test robotic systems remotely or in labsInstall, troubleshoot, and maintain surgical robots on-site in hospitals or clinics
Employer & Industry UsageMedical device companies, research institutions, hospitalsHospitals, surgical centers, medical equipment service providers

The Remote Surgical Robotics Engineer focuses on designing and developing robotic systems remotely, often working in labs or offices. In contrast, the Surgical Robotics Technician primarily handles installation, maintenance, and troubleshooting of surgical robots on-site. Both roles require specialized certifications, but their work environments and daily tasks differ significantly.

What are the most commonly searched types of Surgical Robotics Engineer jobs in Minnesota?

The most popular types of Surgical Robotics Engineer jobs in Minnesota are:

What job categories do people searching Remote Surgical Robotics Engineer jobs in Minnesota look for?

The top searched job categories for Remote Surgical Robotics Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Surgical Robotics Engineer jobs?

Cities in Minnesota with the most Remote Surgical Robotics Engineer job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Saint Cloud, MN • Remote

Full-time

Re-posted 14 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.