$140 - $210/hr
Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement. * Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.
$140 - $210/hr
Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement. * Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.
$120 - $190/hr
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements.
New
$120 - $190/hr
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements.
New
$150 - $230/hr
Machine Learning Engineer @ Clay Clay's ambition is to build a self-learning revenue engine : a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of ...
New
$150 - $230/hr
Machine Learning Engineer @ Clay Clay's ambition is to build a self-learning revenue engine : a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of ...
New
$179 - $205/hr
R249230Lead Machine Learning Engineer**Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and support cutting edge technological solutions that ...
New
$179 - $205/hr
R249230Lead Machine Learning Engineer**Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and support cutting edge technological solutions that ...
New
$185 - $258/hr
This Senior Machine Learning Engineer role is part of the Distribution & Supply team which sits within our Technology division. The Distribution & Supply team builds and optimizes the machine ...
New
$185 - $258/hr
This Senior Machine Learning Engineer role is part of the Distribution & Supply team which sits within our Technology division. The Distribution & Supply team builds and optimizes the machine ...
New
Machine Learning Engineer
Frankfort, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Frankfort, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Covington, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Covington, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Louisville, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Louisville, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Lexington, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Lexington, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Owensboro, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Owensboro, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Louisville, KY · On-site
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...
Machine Learning Engineer
Louisville, KY · On-site
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...
Machine Learning Engineer
Bowling Green, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Bowling Green, KY · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
$209 - $239/hr
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
New
$209 - $239/hr
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
New
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Machine Learning Engineer
Lexington, KY · On-site
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...
Machine Learning Engineer
Lexington, KY · On-site
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...
Flexible Machine Learning Engineer Biotech information
What is the difference between Flexible Machine Learning Engineer Biotech vs Data Scientist Biotech?
| Aspect | Flexible Machine Learning Engineer Biotech | Data Scientist Biotech |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; experience with ML frameworks | Degree in Statistics, Mathematics, or related fields; proficiency in data analysis |
| Work Environment | Develops and deploys ML models in biotech R&D and production settings | Analyzes biological data to extract insights, often in research labs or biotech companies |
| Employer & Industry Usage | Used by biotech firms focusing on AI-driven drug discovery and diagnostics | Common in biotech research, clinical data analysis, and bioinformatics |
The main difference is that a Flexible Machine Learning Engineer Biotech primarily develops and implements machine learning models tailored for biotech applications, while a Data Scientist Biotech focuses on analyzing biological data to generate insights. Both roles require strong technical skills, but the engineer emphasizes model deployment and integration, whereas the scientist emphasizes data interpretation and statistical analysis.
What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Kentucky?
The most popular types of Machine Learning Engineer Biotech jobs in Kentucky are:
What are popular job titles related to Flexible Machine Learning Engineer Biotech jobs in Kentucky?
For Flexible Machine Learning Engineer Biotech jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Flexible Machine Learning Engineer Biotech jobs in Kentucky look for?
The top searched job categories for Flexible Machine Learning Engineer Biotech jobs in Kentucky are:
What cities in Kentucky are hiring for Flexible Machine Learning Engineer Biotech jobs?
Cities in Kentucky with the most Flexible Machine Learning Engineer Biotech job openings:
$140 - $210/hr
Other
Posted 4 days ago
Job description
Responsible for developing next-generation AI systems designed to simplify task automation for users. This role involves designing, evaluating, deploying, and maintaining AI solutions, utilizing both Large Language Models (LLMs) and Bardeen's custom models in areas such as semantic parsing, dialog systems, agents, and text generation. The position collaborates with engineers to integrate AI features into Bardeen's products, ensuring a high-quality user experience.
Specific duties include:
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Research, design, and implement machine learning algorithms to optimize workflow automation.
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Develop, test, and modify computer programs to apply machine learning models to real-world applications.
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Research, design, and implement machine learning and AI algorithms to model real world processes, including process discovery, process conformance, and opportunity identification for automation and AI agents.
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Develop, test, and modify computer programs that apply machine learning models to operational data sources such as event logs, clickstreams, tickets, documents, and call transcripts.
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Design and improve methods for process and entity extraction from unstructured and semi structured data, including tasks, systems, stakeholders, and key business objects.
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Stay familiar with and evaluate state of the art research in process mining, workflow intelligence, representation learning for events and processes, and LLM based planning and tool use, and translate it into practical enterprise solutions.
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Perform statistical analysis and apply data mining techniques to diagnose bottlenecks, measure impact, and improve model performance and robustness in production settings.
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Deploy machine learning models into production systems, ensuring scalability and efficiency.
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Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement.
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Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.
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Prepare technical documentation and reports detailing methodologies and outcomes.
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Utilize cloud computing platforms such as AWS and GCP to manage large-scale data processing and storage.
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Ensure compliance with industry standards, data governance, and security protocols for machine learning applications.
Requires a Master's degree in Computational Science and Engineering, or a closely related field that focuses on Machine Learning, and 1 year of experience.
Experience must include:
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Experience with modern deep learning models, particularly large language models (LLMs) and multimodal architectures used for understanding text, structured data, and behavioral traces.
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Familiarity with OpenAI, Anthropic, or Hugging Face Transformers (GPT, Mistral, LLaMA, etc.).
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Experience with Python, Hugging Face, and OpenAI, Gemini and Anthropic SDKs.
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Experience with designing evaluation frameworks, benchmarking model variants, and measuring before/after impact.
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Experience with production-grade data and inference infrastructure, including AWS and GCP.
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Experience with monitoring, optimization, and scaling of LLM inference workloads across distributed systems.
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Experience with ML and AI algorithms to model real world business processes and identification of high impact automation and AI agent opportunities.
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Experience with using LLMs for performing statistical analysis.
Remote work is permitted. Travel is required to unanticipated locations nationwide. Travel is less than 5% of time.