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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Gen AI Engineer
Wilmington, DE · Hybrid
Identify and implement model optimizations to improve system efficiency. * Collaborate closely with ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...
Gen AI Engineer
Wilmington, DE · Hybrid
Identify and implement model optimizations to improve system efficiency. * Collaborate closely with ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Senior Java AI Developer (RAG/LLM)
Wilmington, DE · On-site
$55.50 - $70.75/hr
Experience implementing semantic search and document retrieval pipelines * Strong REST API and ... Experience with Spring AI ecosystem * Experience implementing enterprise security standards
New
Senior Java AI Developer (RAG/LLM)
Wilmington, DE · On-site
$55.50 - $70.75/hr
Experience implementing semantic search and document retrieval pipelines * Strong REST API and ... Experience with Spring AI ecosystem * Experience implementing enterprise security standards
New
Applied AI/ML - Vice President
Wilmington, DE · On-site
$120 - $160/hr
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
New
Applied AI/ML - Vice President
Wilmington, DE · On-site
$120 - $160/hr
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
New
Purpose of the role Support the development, implementation and maintenance of AIML Policies and Standards, the AI inventory, oversight of AI Risk tiering, co-ordination of cross-functional AI risk ...
Purpose of the role Support the development, implementation and maintenance of AIML Policies and Standards, the AI inventory, oversight of AI Risk tiering, co-ordination of cross-functional AI risk ...
Gen AI Engineer
Wilmington, DE · Hybrid
Identify and implement model optimizations to improve system efficiency. * Collaborate closely with ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...
Gen AI Engineer
Wilmington, DE · Hybrid
Identify and implement model optimizations to improve system efficiency. * Collaborate closely with ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
AI Adoption Specialist
Wilmington, DE · On-site +1
$35 - $45/hr
Support the implementation of AI use cases using approved enterprise AI tools. Contribute to the coordinated execution of AI initiatives across engineering teams. Create, test, and refine prompts for ...
AI Adoption Specialist
Wilmington, DE · On-site +1
$35 - $45/hr
Support the implementation of AI use cases using approved enterprise AI tools. Contribute to the coordinated execution of AI initiatives across engineering teams. Create, test, and refine prompts for ...
Senior Python AI Developer
Wilmington, DE · On-site
$117K - $158K/yr
The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI ...
New
Senior Python AI Developer
Wilmington, DE · On-site
$117K - $158K/yr
The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI ...
New
Ai Implementation information
How to get into AI implementation?
To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.
What are the key skills and qualifications needed to thrive in the AI implementation position?
To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.
What is an AI implementation?
An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.
What kinds of teams and departments does an AI implementation professional typically collaborate with?
AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.
How to become an AI implementation specialist?
To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of AI and machine learning algorithms. Gaining experience with programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and understanding of deployment environments are essential. Certifications in AI or cloud platforms can also enhance job prospects in this role.
What are the most commonly searched types of Ai Implementation jobs in Delaware? The most popular types of Ai Implementation jobs in Delaware are:
What are popular job titles related to Ai Implementation jobs in Delaware? For Ai Implementation jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Implementation jobs in Delaware look for? The top searched job categories for Ai Implementation jobs in Delaware are:
What cities in Delaware are hiring for Ai Implementation jobs? Cities in Delaware with the most Ai Implementation job openings:
Full-time
Re-posted 17 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