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AI/ML Engineer

AA674B442E9B6A1284BD7F78CB0C3E73 · FL Miami - Aventura, FL 33180; 21500 Biscayne Blvd, Aventura, FL, 33180, USA · Active · Paycom ATS

Job facts

Field	Value
Company	AA674B442E9B6A1284BD7F78CB0C3E73
Title	AI/ML Engineer
Normalized title	-
Department / team	-
Location	Aventura, FL, United States
Work model	-
Employment type	Full Time
Salary	-
Status	active
ATS provider	Paycom ATS
Posted / first seen	2025-11-13 / 2026-05-31
Changed / last seen	2026-06-02 / 2026-06-06

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Page	What it contains	Open
Company jobs	Active postings from AA674B442E9B6A1284BD7F78CB0C3E73.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Paycom ATS.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Aventura.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	AA674B442E9B6A1284BD7F78CB0C3E73
Source	c9dc5164-4e0d-4708-bc41-05e131b3795f
ATS provider	Paycom ATS

Description

Description We are a leading provider of reverse logistics and returns management solutions, leveraging technology to optimize supply chains and maximize value recovery. We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources. We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail products, enhancing operational efficiency through AI automation, and applying cutting-edge techniques in LLMs, NLP, and agentic AI frameworks. Primary Responsibilities/Essential Functions This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business. Key Responsibilities Design, build, and deploy predictive models for retail pricing using data from various internal and external sources. Develop and fine-tune generative AI models (LLMs) for automation, data augmentation, and content generation. Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. Build and integrate AI agentic frameworks for autonomous decision-making and task automation. Build and maintain scalable machine learning pipelines for data processing, training, and inference. Collaborate with cross-functional teams (data engineering, operations, and business) to define AI/ML use cases and deliver solutions. Monitor and improve model performance, ensuring robustness, scalability, and reliability. Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Qualifications Required: · 5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling. · Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn. · Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks. · Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data. · Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML). · Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring. · Excellent problem-solving skills and ability to communicate complex AI concepts clearly. Preferred: · Experience with AI-driven pricing optimization in retail, logistics, or e-commerce. · Experience developing and deploying RAG systems for dynamic content retrieval. · Familiarity with AI agentic frameworks for building autonomous AI agents. · Prior work in AI automation for supply chain, demand forecasting, or pricing strategies. · Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.

Full job record

Job ID	d6aa3a065bf1635999af3559e2f2ca6a2ec4f96d
Org ID	21605a73-5734-46cd-895f-c42c39564686
Source ID	c9dc5164-4e0d-4708-bc41-05e131b3795f
Board ID	c9dc5164-4e0d-4708-bc41-05e131b3795f
Provider	paycom
Provider Job Key	247738
Title	AI/ML Engineer
Normalized Title	—
Status	active
Active	yes
Location Text	FL Miami - Aventura, FL 33180; 21500 Biscayne Blvd, Aventura, FL, 33180, USA
Department	—
Team	—
Employment Type	full_time
Workplace Type	—
Remote Policy	—
Country	United States
Region	FL
City	Aventura
Salary Raw	Description We are a leading provider of reverse logistics and returns management solutions, leveraging technology to optimize supply chains and maximize value recovery. We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources. We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail products, enhancing operational efficiency through AI automation, and applying cutting-edge techniques in LLMs, NLP, and agentic AI frameworks. Primary Responsibilities/Essential Functions This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business. Key Responsibilities Design, build, and deploy predictive models for retail pricing using data from various internal and external sources. Develop and fine-tune generative AI models (LLMs) for automation, data augmentation, and content generation. Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. Build and integrate AI agentic frameworks for autonomous decision-making and task automation. Build and maintain scalable machine learning pipelines for data processing, training, and inference. Collaborate with cross-functional teams (data engineering, operations, and business) to define AI/ML use cases and deliver solutions. Monitor and improve model performance, ensuring robustness, scalability, and reliability. Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Qualifications Required: · 5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling. · Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn. · Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks. · Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data. · Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML). · Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring. · Excellent problem-solving skills and ability to communicate complex AI concepts clearly. Preferred: · Experience with AI-driven pricing optimization in retail, logistics, or e-commerce. · Experience developing and deploying RAG systems for dynamic content retrieval. · Familiarity with AI agentic frameworks for building autonomous AI agents. · Prior work in AI automation for supply chain, demand forecasting, or pricing strategies. · Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.
Salary Min	—
Salary Max	—
Salary Currency	—
Salary Period	—
Source URL	https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=247738&clientkey=AA674B442E9B6A1284BD7F78CB0C3E73
Apply URL	https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=247738&clientkey=AA674B442E9B6A1284BD7F78CB0C3E73
First Seen At	2026-05-31 19:07:40Z
Last Seen At	2026-06-06 09:57:14Z
Last Checked At	2026-06-06 09:57:14Z
Last Changed At	2026-06-02 10:04:52Z
Inactive At	—
Source Posted At	2025-11-13 00:00:00Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=paycom/board=AA674B442E9B6A1284BD7F78CB0C3E73/date=2026-06-06/2026-06-06T09-57-12-108Z-86a6910012875f69b8cad8ec2dedfbc395f291d161aa5dd463bbb37524811c38.json

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The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nKey Responsibilities\\r\\n\\r\\n\\r\\n\\t\\r\\n\\tDesign, build, and deploy predictive models for retail pricing using data from various internal and external sources. \\r\\n\\t\\r\\n\\t\\r\\n\\tDevelop and fine-tune generative AI models (LLMs) for automation, data augmentation, and content generation. \\r\\n\\t\\r\\n\\t\\r\\n\\tImplement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. \\r\\n\\t\\r\\n\\t\\r\\n\\tBuild and integrate AI agentic frameworks for autonomous decision-making and task automation. \\r\\n\\t\\r\\n\\t\\r\\n\\tBuild and maintain scalable machine learning pipelines for data processing, training, and inference.\\r\\n\\t\\r\\n\\t\\r\\n\\tCollaborate with cross-functional teams (data engineering, operations, and business) to define AI/ML use cases and deliver solutions. \\r\\n\\t\\r\\n\\t\\r\\n\\tMonitor and improve model performance, ensuring robustness, scalability, and reliability. \\r\\n\\t\\r\\n\\t\\r\\n\\tUtilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment.\\r\\n\\t\\r\\n\\r\\nQualificationsRequired:\\r\\n\\r\\n&middot; 5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling.\\r\\n\\r\\n&middot; Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn.\\r\\n\\r\\n&middot; Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks.\\r\\n\\r\\n&middot; Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data.\\r\\n\\r\\n&middot; Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).\\r\\n\\r\\n&middot; Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring.\\r\\n\\r\\n&middot; Excellent problem-solving skills and ability to communicate complex AI concepts clearly.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPreferred:\\r\\n\\r\\n&middot; Experience with AI-driven pricing optimization in retail, logistics, or e-commerce.\\r\\n\\r\\n&middot; Experience developing and deploying RAG systems for dynamic content retrieval.\\r\\n\\r\\n&middot; Familiarity with AI agentic frameworks for building autonomous AI agents.\\r\\n\\r\\n&middot; Prior work in AI automation for supply chain, demand forecasting, or pricing strategies.\\r\\n\\r\\n&middot; Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.\\r\\n\",\"responsibilities\":\"We are a leading provider of reverse logistics and returns management solutions, leveraging technology to optimize supply chains and maximize value recovery. We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nWe are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail products, enhancing operational efficiency through AI automation, and applying cutting-edge techniques in LLMs, NLP, and agentic AI frameworks.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPrimary Responsibilities/Essential Functions\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nThis job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nKey Responsibilities\\r\\n\\r\\n\\r\\n\\t\\r\\n\\tDesign, build, and deploy predictive models for retail pricing using data from various internal and external sources. \\r\\n\\t\\r\\n\\t\\r\\n\\tDevelop and fine-tune generative AI models (LLMs) for automation, data augmentation, and content generation. \\r\\n\\t\\r\\n\\t\\r\\n\\tImplement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. \\r\\n\\t\\r\\n\\t\\r\\n\\tBuild and integrate AI agentic frameworks for autonomous decision-making and task automation. \\r\\n\\t\\r\\n\\t\\r\\n\\tBuild and maintain scalable machine learning pipelines for data processing, training, and inference.\\r\\n\\t\\r\\n\\t\\r\\n\\tCollaborate with cross-functional teams (data engineering, operations, and business) to define AI/ML use cases and deliver solutions. \\r\\n\\t\\r\\n\\t\\r\\n\\tMonitor and improve model performance, ensuring robustness, scalability, and reliability. \\r\\n\\t\\r\\n\\t\\r\\n\\tUtilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment.\\r\\n\\t\\r\\n\\r\\n\",\"employmentType\":\"FULL_TIME\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"ReturnPro\",\"logo\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=AA674B442E9B6A1284BD7F78CB0C3E73\"},\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"streetAddress\":\"21500 Biscayne Blvd\",\"addressLocality\":\"Aventura\",\"addressRegion\":\"FL\",\"postalCode\":33180,\"addressCountry\":\"USA\"}},\"qualifications\":\"Required:\\r\\n\\r\\n&middot; 5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling.\\r\\n\\r\\n&middot; Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn.\\r\\n\\r\\n&middot; Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks.\\r\\n\\r\\n&middot; Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data.\\r\\n\\r\\n&middot; Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).\\r\\n\\r\\n&middot; Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring.\\r\\n\\r\\n&middot; Excellent problem-solving skills and ability to communicate complex AI concepts clearly.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPreferred:\\r\\n\\r\\n&middot; Experience with AI-driven pricing optimization in retail, logistics, or e-commerce.\\r\\n\\r\\n&middot; Experience developing and deploying RAG systems for dynamic content retrieval.\\r\\n\\r\\n&middot; Familiarity with AI agentic frameworks for building autonomous AI agents.\\r\\n\\r\\n&middot; Prior work in AI automation for supply chain, demand forecasting, or pricing strategies.\\r\\n\\r\\n&middot; Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.\\r\\n\",\"experienceRequirements\":\"Required:\\r\\n\\r\\n&middot; 5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling.\\r\\n\\r\\n&middot; Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn.\\r\\n\\r\\n&middot; Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks.\\r\\n\\r\\n&middot; Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data.\\r\\n\\r\\n&middot; Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).\\r\\n\\r\\n&middot; Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring.\\r\\n\\r\\n&middot; Excellent problem-solving skills and ability to communicate complex AI concepts clearly.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPreferred:\\r\\n\\r\\n&middot; Experience with AI-driven pricing optimization in retail, logistics, or e-commerce.\\r\\n\\r\\n&middot; Experience developing and deploying RAG systems for dynamic content retrieval.\\r\\n\\r\\n&middot; Familiarity with AI agentic frameworks for building autonomous AI agents.\\r\\n\\r\\n&middot; Prior work in AI automation for supply chain, demand forecasting, or pricing strategies.\\r\\n\\r\\n&middot; Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.\\r\\n\",\"validThrough\":\"-0001-11-30\",\"workHours\":\"HQ: Standard 9am to 6pm\"}",
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    "qualifications": "<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Required:</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Excellent problem-solving skills and ability to communicate complex AI concepts clearly.</span></span></span></span></span></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Preferred:</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Experience with AI-driven pricing optimization in retail, logistics, or e-commerce.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Experience developing and deploying RAG systems for dynamic content retrieval.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Familiarity with AI agentic frameworks for building autonomous AI agents.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Prior work in AI automation for supply chain, demand forecasting, or pricing strategies.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.</span></span></span></span></span></p>\r\n",
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    "description": "We are a leading provider of reverse logistics and returns management solutions, leveraging technology to optimize supply chains and maximize value re...",
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