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Remote Performance Optimization Jobs in Idaho (NOW HIRING)

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Remote Performance Optimization information

What is the difference between Remote Performance Optimization vs Remote Performance Analyst?

AspectRemote Performance OptimizationRemote Performance Analyst
Primary FocusImproving overall system, application, or website performance through technical strategiesAnalyzing performance data to identify issues and recommend improvements
Required SkillsTechnical expertise in performance tuning, coding, and system architectureData analysis, reporting, and troubleshooting skills
Work EnvironmentCollaborates with developers, IT teams, and stakeholders on performance projectsWorks with data sets, monitoring tools, and reports to assess performance
Common UsageUsed by companies aiming to optimize their digital assets' speed and efficiencyUsed by organizations to monitor and analyze system performance metrics

While both roles focus on performance, Remote Performance Optimization involves proactive technical improvements, whereas Remote Performance Analyst emphasizes analyzing data to inform performance strategies. Understanding these differences helps organizations assign the right talent for their performance needs.

What are the most commonly searched types of Performance Optimization jobs in Idaho? The most popular types of Performance Optimization jobs in Idaho are:
What are popular job titles related to Remote Performance Optimization jobs in Idaho? For Remote Performance Optimization jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Remote Performance Optimization jobs in Idaho look for? The top searched job categories for Remote Performance Optimization jobs in Idaho are:
What cities in Idaho are hiring for Remote Performance Optimization jobs? Cities in Idaho with the most Remote Performance Optimization job openings:
Remote Performance Optimization jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Coeur D Alene, ID • Remote

Other

Posted 24 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