ZipRecruiter

Log In

2

Remote Failure Analysis Engineer Jobs in Kentucky

Cayenta

(Remote) Support Analyst

Canada, KY · Remote

At Cayenta, our Support Analysts play a critical role in helping customers resolve system issues ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Schnabel Inc.

Senior Dam Safety Engineer

Lexington, KY · On-site +1

$135K - $215K/yr

... engineering analyses and design related to geotechnical, hydrologic and hydraulic, and/or ... Must be able to occasionally travel to project sites, both local and remote, and be able to lift ...

next page

Showing results 1-20

All JobsFailure Analysis Engineer JobsRemote Failure Analysis Engineer JobsRemote Failure Analysis Engineer Jobs in Kentucky

Remote Failure Analysis Engineer information

What is the difference between Remote Failure Analysis Engineer vs Remote Quality Engineer?

AspectRemote Failure Analysis EngineerRemote Quality Engineer
CredentialsBachelor's in Engineering, certifications in failure analysis or reliabilityBachelor's in Engineering, certifications in quality management or Six Sigma
Work EnvironmentLaboratory, technical analysis, remote troubleshootingProcess audits, quality control, remote data analysis
Industry UsageElectronics, manufacturing, aerospaceManufacturing, electronics, automotive
Search & Comparison IntentUnderstanding failure analysis roles, technical skillsQuality assurance, process improvement roles

The Remote Failure Analysis Engineer focuses on diagnosing product failures through technical analysis, often involving lab work and remote troubleshooting. In contrast, the Remote Quality Engineer emphasizes maintaining quality standards, process improvements, and data analysis. Both roles require engineering backgrounds and certifications but serve different functions within manufacturing and electronics industries.

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

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lexington, KY • Remote

Full-time

Re-posted 15 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