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Remote Life Science Engineering Jobs in Chicago, IL

Tempus

Senior Quality Engineer

Chicago, IL · On-site +1

S. or higher preferred in Computer Science, Software Engineering, Informatics, Biomedical, or ... Knowledge of quality system principles, practices, and standards for the life science industry.

System One

Quality Assurance Specialist

Cary, IL · Remote

$40 - $44/hr

Bachelor of Science in Science, Engineering, Business, or a related discipline. * Experience ... life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

System One

Quality Assurance Specialist

Cary, IL · Remote

$40 - $44/hr

Bachelor of Science in Science, Engineering, Business, or a related discipline. * Experience ... life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

System One

Quality Assurance Specialist

Cary, IL · Remote

$40 - $44/hr

Bachelor of Science in Science, Engineering, Business, or a related discipline. * Experience ... life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Learner Education

Online Science Tutor

Chicago, IL · Remote

$25/hr

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Enjoy a flexible work-life balance with the ability to set your own schedule * Work remotely and ...

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All JobsLife Science Engineering JobsRemote Life Science Engineering JobsRemote Life Science Engineering Jobs in Chicago, IL

Remote Life Science Engineering information

What is the difference between Remote Life Science Engineering vs Remote Biomedical Engineering?

AspectRemote Life Science EngineeringRemote Biomedical Engineering
Required CredentialsBachelor's or higher in life sciences, engineering, or related fieldsBachelor's or higher in biomedical engineering, bioengineering, or related disciplines
Work EnvironmentRemote, often in research, product development, or regulatory rolesRemote, typically in medical device design, diagnostics, or healthcare tech
Industry UsagePharmaceuticals, biotech, healthcare companiesMedical device manufacturers, healthcare technology firms
Common Search/ComparisonYesYes

Remote Life Science Engineering and Remote Biomedical Engineering share similar educational backgrounds and work environments, often involving research and product development in healthcare sectors. However, Life Science Engineering broadly covers biotech, pharmaceuticals, and research, while Biomedical Engineering focuses more on medical devices and healthcare technology. Both roles are in high demand for remote work in the healthcare industry.

What are the most commonly searched types of Life Science Engineering jobs in Chicago, IL?

The most popular types of Life Science Engineering jobs in Chicago, IL are:

What are popular job titles related to Remote Life Science Engineering jobs in Chicago, IL?

For Remote Life Science Engineering jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Life Science Engineering jobs in Chicago, IL look for?

The top searched job categories for Remote Life Science Engineering jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Life Science Engineering jobs?

Cities near Chicago, IL with the most Remote Life Science Engineering job openings:

Remote Life Science Engineering jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chicago, IL • Remote

Full-time

Re-posted 17 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