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Remote Identity Access Management Engineer Jobs in Nevada

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Compliance Monitoring & Risk Management * Conduct environmental audits, inspections, and risk ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Compliance Monitoring & Risk Management * Conduct environmental audits, inspections, and risk ...

Sales Support Manager __ Your role and responsibilities In this role, you will focus on the ... This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ...

Work closely with various engineering teams for system testing and testing of new scenarios * Work ... Reporting of system functionality issues to management in a timely manner * Other duties as ...

Work closely with various engineering teams for system testing and testing of new scenarios * Work ... Reporting of system functionality issues to management in a timely manner * Other duties as ...

Showing results 41-60

Remote Identity Access Management Engineer information

What is the difference between Remote Identity Access Management Engineer vs Remote Security Analyst?

AspectRemote Identity Access Management EngineerRemote Security Analyst
Required CredentialsCertifications like CISSP, CISA, or vendor-specific IAM certificationsCertifications such as CompTIA Security+, CISSP, or GIAC Security certifications
Work EnvironmentFocus on designing, implementing, and managing identity access systemsMonitoring security threats, analyzing vulnerabilities, and incident response
Employer & Industry UsageTech companies, financial institutions, healthcare organizationsFinancial services, government agencies, large enterprises

The Remote Identity Access Management Engineer primarily focuses on managing user identities and access controls within organizations, ensuring secure authentication and authorization processes. In contrast, the Remote Security Analyst monitors and analyzes security threats to protect organizational assets. While both roles require security certifications and work in similar environments, their core responsibilities differ significantly, with the IAM Engineer specializing in identity systems and the Security Analyst in threat detection and response.

What are popular job titles related to Remote Identity Access Management Engineer jobs in Nevada? For Remote Identity Access Management Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Identity Access Management Engineer jobs in Nevada look for? The top searched job categories for Remote Identity Access Management Engineer jobs in Nevada are:
What cities in Nevada are hiring for Remote Identity Access Management Engineer jobs? Cities in Nevada with the most Remote Identity Access Management Engineer job openings:
Infographic showing various Remote Identity Access Management Engineer job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Sparks, NV • 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.