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 ...
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 ...
ASIC Design and Verification Engineer - AI
$131K - $160K/yr
Familiarity with cloud platforms (AWS, Azure) and CI/CD practices for ML tools * Experience fine-tuning or training LLMs for domain-specific applications * Experience with synthesizable RTL ...
ASIC Design and Verification Engineer - AI
$131K - $160K/yr
Familiarity with cloud platforms (AWS, Azure) and CI/CD practices for ML tools * Experience fine-tuning or training LLMs for domain-specific applications * Experience with synthesizable RTL ...
Improve scanning efficiency and coverage through tuning and optimization Qualifications Bachelor ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Improve scanning efficiency and coverage through tuning and optimization Qualifications Bachelor ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Principal Data Scientist I
Raleigh, NC · Hybrid
$118K - $219K/yr
Large language models (prompting, fine-tuning, adaptation), LLM * Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems
Principal Data Scientist I
Raleigh, NC · Hybrid
$118K - $219K/yr
Large language models (prompting, fine-tuning, adaptation), LLM * Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems
Principal Data Scientist I
Raleigh, NC · On-site
$118K - $219K/yr
Large language models (prompting, fine-tuning, adaptation), LLM * Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems
Principal Data Scientist I
Raleigh, NC · On-site
$118K - $219K/yr
Large language models (prompting, fine-tuning, adaptation), LLM * Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems
Principal Data Scientist I
Raleigh, NC · Hybrid
$118K - $219K/yr
Large language models (prompting, fine-tuning, adaptation), LLM * Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems
Principal Data Scientist I
Raleigh, NC · Hybrid
$118K - $219K/yr
Large language models (prompting, fine-tuning, adaptation), LLM * Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems
Improve scanning efficiency and coverage through tuning and optimization #LI-IK1 Qualifications ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Improve scanning efficiency and coverage through tuning and optimization #LI-IK1 Qualifications ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Principal Data Scientist I
Raleigh, NC · On-site
$118K - $219K/yr
Large language models (prompting, fine-tuning, adaptation), LLM * Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems
Principal Data Scientist I
Raleigh, NC · On-site
$118K - $219K/yr
Large language models (prompting, fine-tuning, adaptation), LLM * Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems
Improve scanning efficiency and coverage through tuning and optimization Qualifications Bachelor ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Improve scanning efficiency and coverage through tuning and optimization Qualifications Bachelor ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Speakers/Writers
$15 - $60/hr
... AI models by creating high-quality data in their field of expertise to build the future of ... Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI ...
Speakers/Writers
$15 - $60/hr
... AI models by creating high-quality data in their field of expertise to build the future of ... Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI ...
Improve scanning efficiency and coverage through tuning and optimization #LI-IK1 Qualifications ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Improve scanning efficiency and coverage through tuning and optimization #LI-IK1 Qualifications ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Improve scanning efficiency and coverage through tuning and optimization #LI-IK1 Qualifications ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Improve scanning efficiency and coverage through tuning and optimization #LI-IK1 Qualifications ... Assess risks related to AI/ML models (e.g., data poisoning, model inversion, adversarial attacks)
Embedded Data Scientist
Morrisville, NC · On-site
$90 - $120/hr
... tuning training data from libraries of recorded instrument measurements * Characterize model ... Additional Responsibilities * Assist with collection of instrument data, both for purposes of ML ...
Embedded Data Scientist
Morrisville, NC · On-site
$90 - $120/hr
... tuning training data from libraries of recorded instrument measurements * Characterize model ... Additional Responsibilities * Assist with collection of instrument data, both for purposes of ML ...
Machine Learning Compiler
Raleigh, NC · On-site
$160K - $240K/yr
Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets. Team & Project Management: * Manage and mentor a team of engineers, fostering technical growth ...
Machine Learning Compiler
Raleigh, NC · On-site
$160K - $240K/yr
Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets. Team & Project Management: * Manage and mentor a team of engineers, fostering technical growth ...
Google AI Architect
Raleigh, NC · On-site
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Google AI Architect
Raleigh, NC · On-site
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Senior Data Scientist
Raleigh, NC · On-site
Develop generative AI applications using large language models and foundation models, including prompt engineering, embeddings, vector search, retrieval-augmented generation, fine-tuning, model ...
New
Senior Data Scientist
Raleigh, NC · On-site
Develop generative AI applications using large language models and foundation models, including prompt engineering, embeddings, vector search, retrieval-augmented generation, fine-tuning, model ...
New
... generation, fine-tuning, tool use, data dependencies, and integration patterns, and defining mitigations for privacy, security, model risk, and misuse. * Experience prototyping or automating ...
... generation, fine-tuning, tool use, data dependencies, and integration patterns, and defining mitigations for privacy, security, model risk, and misuse. * Experience prototyping or automating ...
Build, train or fine tune ML models for business problems, validate and evaluate them for fielding as part of broader solutions. * Deliver Generative AI solutions, including prompt engineering and ...
Build, train or fine tune ML models for business problems, validate and evaluate them for fielding as part of broader solutions. * Deliver Generative AI solutions, including prompt engineering and ...
Build, train or fine tune ML models for business problems, validate and evaluate them for fielding as part of broader solutions. * Deliver Generative AI solutions, including prompt engineering and ...
Build, train or fine tune ML models for business problems, validate and evaluate them for fielding as part of broader solutions. * Deliver Generative AI solutions, including prompt engineering and ...
Build, train or fine tune ML models for business problems, validate and evaluate them for fielding as part of broader solutions. * Deliver Generative AI solutions, including prompt engineering and ...
Build, train or fine tune ML models for business problems, validate and evaluate them for fielding as part of broader solutions. * Deliver Generative AI solutions, including prompt engineering and ...
Ml Model Fine Tuning information
See Raleigh, NC salary details
$9.81 - $21.63
8% of jobs
$21.63 - $33.44
0% of jobs
$33.44 - $45.25
0% of jobs
$53.84 is the 25th percentile. Wages below this are outliers.
$45.25 - $57.06
23% of jobs
The median wage is $63.31 / hr.
$57.06 - $68.87
35% of jobs
$75.62 is the 75th percentile. Wages above this are outliers.
$68.87 - $80.68
15% of jobs
$80.68 - $92.49
18% of jobs
$92.49 - $104.30
0% of jobs
$104.30 - $116.11
0% of jobs
$116.11 - $127.93
0% of jobs
$127.93 - $139.74
1% of jobs
$9
$67
$139
How much do ml model fine tuning jobs pay per hour?
As of Aug 12, 2026, the average hourly pay for ml model fine tuning in Raleigh, NC is $67.40, according to ZipRecruiter salary data. Most workers in this role earn between $55.14 and $74.76 per hour, depending on experience, location, and employer.
What is the difference between Ml Model Fine Tuning vs Data Scientist?
| Aspect | Ml Model Fine Tuning | Data Scientist |
|---|---|---|
| Credentials | Knowledge of machine learning frameworks, programming skills | Degree in data science, statistics, or related fields |
| Work Environment | Focus on model optimization, coding, and experimentation | Data analysis, modeling, and interpretation |
| Industry Usage | AI/ML development teams, tech companies | Research, analytics, business intelligence |
While Ml Model Fine Tuning involves adjusting pre-trained models to improve performance, Data Scientists analyze data, develop models, and interpret results. Fine tuning is a specialized task within the broader scope of a Data Scientist's role, often requiring similar technical skills but focusing more on model optimization.
What are some common challenges faced when fine-tuning machine learning models in a production environment?
One common challenge when fine-tuning ML models in production is ensuring that the updated models generalize well to new, unseen data without overfitting to recent trends or noise. Additionally, coordinating with data engineers and software developers is crucial to maintain data pipelines and model deployment workflows. Managing computational resources and keeping track of model versions for reproducibility can also be complex, especially in fast-paced or large-scale environments. Regular communication with stakeholders is important to align model updates with business objectives and to ensure the smooth integration of improvements.
What is ML model fine-tuning?
ML model fine-tuning is the process of taking a pre-trained machine learning model and making small adjustments to its parameters using new data relevant to your specific task. This approach allows you to leverage the general knowledge the model has already learned, while adapting it to perform better on your particular dataset or problem. Fine-tuning is common in fields like natural language processing and computer vision, as it saves time and resources compared to training a model from scratch. The process typically involves retraining the last few layers of the model or using a lower learning rate for the entire model.
What are the key skills and qualifications needed to thrive as an ML model fine tuning specialist, and why are they important?
To thrive as an ML Model Fine Tuning Specialist, you need a solid background in machine learning, statistics, programming (often Python), and experience with model training and evaluation. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like Hugging Face Transformers, along with experience in managing GPUs and cloud platforms, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you understand project requirements and collaborate with data scientists and engineers. These skills are crucial for optimizing model performance, ensuring accurate results, and delivering robust AI solutions tailored to specific business needs.
What are popular job titles related to Ml Model Fine Tuning jobs in Raleigh, NC? For Ml Model Fine Tuning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ml Model Fine Tuning jobs in Raleigh, NC look for? The top searched job categories for Ml Model Fine Tuning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ml Model Fine Tuning jobs? Cities near Raleigh, NC with the most Ml Model Fine Tuning job openings:
Other
Re-posted 21 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