Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... and implement Generative AI models leveraging RAG techniques to improve the performance of AI ... architecture and training strategies. * Stay updated with the latest advancements in AI ...
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... and implement Generative AI models leveraging RAG techniques to improve the performance of AI ... architecture and training strategies. * Stay updated with the latest advancements in AI ...
Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini.
Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini.
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Quick apply
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks. * Implement enterprise-wide generative AI solutions including LLMs, copilots ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$97K - $128K/yr
... LLMs. • Generative AI (diffusion models, fine-tuning, RAG). • AI Engineering & MLOps: Model training, deployment, monitoring, and retraining. • Feature stores, vector databases, and model ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$97K - $128K/yr
... LLMs. • Generative AI (diffusion models, fine-tuning, RAG). • AI Engineering & MLOps: Model training, deployment, monitoring, and retraining. • Feature stores, vector databases, and model ...
Generative AI (diffusion models, fine-tuning, RAG); AI Engineering & MLOps. • AI Engineering & MLOps: Model training, deployment, monitoring, and retraining; Feature stores, vector databases, and ...
Generative AI (diffusion models, fine-tuning, RAG); AI Engineering & MLOps. • AI Engineering & MLOps: Model training, deployment, monitoring, and retraining; Feature stores, vector databases, and ...
Experience with generative AI safety and evaluation practices, including prompt injection testing ... Experience assessing AI, machine learning, and LLM deployment patterns, including training ...
Experience with generative AI safety and evaluation practices, including prompt injection testing ... Experience assessing AI, machine learning, and LLM deployment patterns, including training ...
... Generative AI, transformative technologies, and creative design. We can enhance customer ... and training; licensure and certifications; and other business and organizational needs. The ...
... Generative AI, transformative technologies, and creative design. We can enhance customer ... and training; licensure and certifications; and other business and organizational needs. The ...
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$98K - $129K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$98K - $129K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$99K - $130K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$99K - $130K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$99K - $130K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$99K - $130K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Quick apply
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores, vector databases, and model registries * CI/CD ...
Generative Ai Training information
What is generative AI training?
Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.
What are the key skills and qualifications needed to thrive in generative AI training?
To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.
What are some common challenges faced by professionals working in generative AI training roles?
Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.
What is the difference between Generative Ai Training vs Data Scientist?
| Aspect | Generative Ai Training | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of AI models, programming, machine learning | Statistics, programming, data analysis |
| Work Environment | AI development teams, tech companies, research labs | Business, finance, tech firms, research institutions |
| Industry Usage | Developing generative models like GPT, DALL·E | Data analysis, predictive modeling, insights generation |
Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.
What are popular job titles related to Generative Ai Training jobs in Nevada?
For Generative Ai Training jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Generative Ai Training jobs in Nevada look for?
The top searched job categories for Generative Ai Training jobs in Nevada are:
Other
Re-posted 28 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:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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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.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020