... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... This role requires a combination of expertise in machine learning, natural language processing ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... This role requires a combination of expertise in machine learning, natural language processing ...
Work is primarily remote/office based, but fieldwork may be needed throughout the engineering design process * Must be willing to travel overnight or for extended periods of time, based on project ...
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Work is primarily remote/office based, but fieldwork may be needed throughout the engineering design process * Must be willing to travel overnight or for extended periods of time, based on project ...
Korean Document Review Attorney
Rockville, MD ยท On-site +1
$50K - $200K/yr
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Korean Document Review Attorney
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German Document Review Attorney
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Machine Learning Engineer New Grad 2024-2025 -Remote
Frederick, MD ยท Remote
$51.76 - $77.74/hr
Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2LI-REMOTE
Machine Learning Engineer New Grad 2024-2025 -Remote
Frederick, MD ยท Remote
$51.76 - $77.74/hr
Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2LI-REMOTE
Remote Digital Signal Processing Engineer information
See Frederick, MD salary details
$53.2K - $65.8K
3% of jobs
$65.8K - $78.5K
0% of jobs
$78.5K - $91.2K
3% of jobs
$91.2K - $103.8K
14% of jobs
$107.2K is the 25th percentile. Wages below this are outliers.
$103.8K - $116.5K
18% of jobs
The median wage is $127.2K / yr.
$116.5K - $129.1K
14% of jobs
$129.1K - $141.8K
22% of jobs
$142.4K is the 75th percentile. Wages above this are outliers.
$141.8K - $154.4K
11% of jobs
$154.4K - $167.1K
6% of jobs
$167.1K - $179.7K
6% of jobs
$179.7K - $192.4K
2% of jobs
$53.2K
$130.6K
$192.4K
How much do remote digital signal processing engineer jobs pay per year?
What is the difference between Remote Digital Signal Processing Engineer vs Remote Audio Signal Processing Engineer?
| Aspect | Remote Digital Signal Processing Engineer | Remote Audio Signal Processing Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP algorithms | Bachelor's or Master's in Audio Engineering, Electrical Engineering, or related fields; expertise in audio processing |
| Work Environment | Remote, often in tech or telecommunications companies | Remote, mainly in music, media, or audio technology companies |
| Industry Usage | Telecommunications, defense, consumer electronics | Music production, broadcasting, audio hardware/software |
The main difference is that Remote Digital Signal Processing Engineers focus on a broad range of signals like radio, radar, or telecommunications, while Remote Audio Signal Processing Engineers specialize in audio signals for music, media, and broadcasting. Both roles require strong DSP knowledge and often work remotely in tech-driven industries.
What are some common challenges faced by remote digital signal processing engineers and how can they be addressed?
What are the key skills and qualifications needed to thrive as a remote digital signal processing engineer?
What is a remote digital signal processing engineer?

Full-time
Re-posted 16 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 Descriptionโ
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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Bachelorโs or Masterโs 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:
-
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.
-
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?
-
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