Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for ... Collaborate with a team of forward-thinking innovators. * Make a tangible impact on the future of ...
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for ... Collaborate with a team of forward-thinking innovators. * Make a tangible impact on the future of ...
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for ... Collaborate with a team of forward-thinking innovators. * Make a tangible impact on the future of ...
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for ... Collaborate with a team of forward-thinking innovators. * Make a tangible impact on the future of ...
... shopping cart forward. If you're ready to do the best work of your life, come join our table ... Design, develop, and deploy machine learning solutions to tackle practical challenges in the ...
... shopping cart forward. If you're ready to do the best work of your life, come join our table ... Design, develop, and deploy machine learning solutions to tackle practical challenges in the ...
... shopping cart forward. If you're ready to do the best work of your life, come join our table ... Design, develop, and deploy machine learning solutions to tackle practical challenges in the ...
... shopping cart forward. If you're ready to do the best work of your life, come join our table ... Design, develop, and deploy machine learning solutions to tackle practical challenges in the ...
As an Engineering Duty Officer, your job is to keep the fleet moving forward. The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and ...
As an Engineering Duty Officer, your job is to keep the fleet moving forward. The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and ...
Engineering Duty Officer
Merced, CA · On-site
As an Engineering Duty Officer, your job is to keep the fleet moving forward. The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and ...
Engineering Duty Officer
Merced, CA · On-site
As an Engineering Duty Officer, your job is to keep the fleet moving forward. The Navy will rely on your sharp math and science skills to design, develop and deploy the world's fiercest ships and ...
Entrylevel Forward Deployed Engineer information
See Turlock, CA salary details
$13.65 - $20.13
2% of jobs
$20.13 - $26.61
6% of jobs
$26.61 - $33.09
10% of jobs
$33.09 - $39.56
6% of jobs
$40.64 is the 25th percentile. Wages below this are outliers.
$39.56 - $46.04
3% of jobs
$46.04 - $52.52
6% of jobs
$52.52 - $59
9% of jobs
The median wage is $63.13 / hr.
$59 - $65.48
12% of jobs
$65.48 - $71.96
12% of jobs
$76.20 is the 75th percentile. Wages above this are outliers.
$71.96 - $78.44
14% of jobs
$78.44 - $84.92
20% of jobs
$13
$58
$84
How much do entrylevel forward deployed engineer jobs pay per hour?
What is the difference between Entrylevel Forward Deployed Engineer vs Entry-Level Software Engineer?
| Aspect | Entrylevel Forward Deployed Engineer | Entry-Level Software Engineer |
|---|---|---|
| Primary Role | Deploying and supporting hardware/software in client environments, often involving customer interaction | Developing, testing, and maintaining software applications |
| Work Environment | On-site client locations and field settings | Office or remote software development teams |
| Required Skills | Hardware knowledge, troubleshooting, customer communication | Programming, software design, problem-solving |
| Common Certifications | None specific, technical certifications helpful | None required, coding certifications optional |
While both roles are entry-level and involve technical skills, the Entrylevel Forward Deployed Engineer focuses on deploying and supporting hardware and software directly at client sites, requiring customer interaction and troubleshooting. In contrast, the Entry-Level Software Engineer primarily develops software in a team environment. Understanding these differences helps candidates choose the right career path based on their interests in hardware deployment versus software development.
Full-time
Posted 14 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.
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