Description review
Generative AI Automation Engineer - Remote Job
EnthuZiastic · United States · back to the listing
HR standards
54/100
needs work
Title ↔ description
67/100
needs work
Reads as
Machine Learning Engineer
99% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
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What the listing never says
- 30 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Category: Education
Location:
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.
DetailsOriginally posted on Himalayas
Location:
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.
DetailsOriginally posted on Himalayas