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 ...
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 ...
Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision. * Prepare datasets for AI training, ensuring compliance with data ...
Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision. * Prepare datasets for AI training, ensuring compliance with data ...
Collaborate with cross-functional teams to integrate generative AI into products. * Develop and maintain data pipelines for training, evaluation, and continual learning. * Monitor model performance ...
Collaborate with cross-functional teams to integrate generative AI into products. * Develop and maintain data pipelines for training, evaluation, and continual learning. * Monitor model performance ...
Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision. * Prepare datasets for AI training, ensuring compliance with data ...
Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision. * Prepare datasets for AI training, ensuring compliance with data ...
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.
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.
AI ML Engineer
Indianapolis, IN · Remote
Must Have Technical/Functional Skill • Python (Expert level) • Machine Learning & Model Training o Training, evaluation, fine tuning o Tagging and labeling workflows • Generative AI & LLMs o ...
AI ML Engineer
Indianapolis, IN · Remote
Must Have Technical/Functional Skill • Python (Expert level) • Machine Learning & Model Training o Training, evaluation, fine tuning o Tagging and labeling workflows • Generative AI & LLMs o ...
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.
AI Enablement Lead
Columbus, IN · On-site
... training, or process improvement. * Demonstrated ability to turn technology into measurable business results. * Strong working knowledge of generative AI tools. * Ability to influence behavior ...
AI Enablement Lead
Columbus, IN · On-site
... training, or process improvement. * Demonstrated ability to turn technology into measurable business results. * Strong working knowledge of generative AI tools. * Ability to influence behavior ...
AI Enablement Lead
Columbus, IN · On-site
... training, or process improvement. * Demonstrated ability to turn technology into measurable business results. * Strong working knowledge of generative AI tools. * Ability to influence behavior ...
Quick apply
AI Enablement Lead
Columbus, IN · On-site
... training, or process improvement. * Demonstrated ability to turn technology into measurable business results. * Strong working knowledge of generative AI tools. * Ability to influence behavior ...
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.
Skills Training - Adjunct Instructor (Workforce & Artificial Intelligence Training)
Richmond, IN · On-site
Introduction to AI and Generative AI * Practical applications of AI in the workplace * Prompt ... Customize training solutions for employer partners based on industry needs * Stay current with ...
Skills Training - Adjunct Instructor (Workforce & Artificial Intelligence Training)
Richmond, IN · On-site
Introduction to AI and Generative AI * Practical applications of AI in the workplace * Prompt ... Customize training solutions for employer partners based on industry needs * Stay current with ...
Introduction to AI and Generative AI * Practical applications of AI in the workplace * Prompt ... Customize training solutions for employer partners based on industry needs * Stay current with ...
Introduction to AI and Generative AI * Practical applications of AI in the workplace * Prompt ... Customize training solutions for employer partners based on industry needs * Stay current with ...
... training techniques, and prompting strategies 1+ year of experience with Oracle Generative AI and Oracle Cloud Infrastructure AI services, including Oracle Cloud Infrastructure Data Science, Vision ...
... training techniques, and prompting strategies 1+ year of experience with Oracle Generative AI and Oracle Cloud Infrastructure AI services, including Oracle Cloud Infrastructure Data Science, Vision ...
Generative Ai Training information
What are the key skills and qualifications needed to thrive in Generative AI Training, and why are they important?
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 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 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 Indiana? For Generative Ai Training jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Generative Ai Training jobs in Indiana look for? The top searched job categories for Generative Ai Training jobs in Indiana are:
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.
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.
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.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020