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Ml Model Fine Tuning Jobs in Florida (NOW HIRING)

AI Architect with AWS

Miami, FL · On-site

$62 - $81.25/hr

Strong expertise in AI/ML, NLP, LLM models, RAG pipelines, embeddings, and model fine-tuning. * Solid programming knowledge in Python, Java, or JavaScript. * Experience integrating AI components into ...

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

... Language Models (LLMs) via prompt engineering and fine-tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics. Qualifications : Required : • Strong programming ...

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Drive the development and fine-tuning of models for document understanding, text categorization ...

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Drive the development and fine-tuning of models for document understanding, text categorization ...

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Drive the development and fine-tuning of models for document understanding, text categorization ...

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Drive the development and fine-tuning of models for document understanding, text categorization ...

Model Development and Fine-Tuning:** Evaluate, select, and where appropriate guide the fine-tuning ... Strong proficiency in Python, Typescript and modern ML tooling (Hugging Face, PyTorch, or similar)

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Model Development and Fine-Tuning:** Evaluate, select, and where appropriate guide the fine-tuning ... Strong proficiency in Python, Typescript and modern ML tooling (Hugging Face, PyTorch, or similar)

New

Model Development and Fine-Tuning:** Evaluate, select, and where appropriate guide the fine-tuning ... Strong proficiency in Python, Typescript and modern ML tooling (Hugging Face, PyTorch, or similar)

New

Model Development and Fine-Tuning:** Evaluate, select, and where appropriate guide the fine-tuning ... Strong proficiency in Python, Typescript and modern ML tooling (Hugging Face, PyTorch, or similar)

New

... and fine-tuning (e.g., LoRA, QLoRA). • Exposure to RAG systems and basic knowledge of hybrid ... Preferred : • Experience in Big Data technologies (e.g., BigQuery, Hadoop), ML model development ...

The role combines applied ML, prompt engineering, and MLOps to deliver scalable, production-grade ... fine-tuning LLMs (LoRA, PEFT techniques) Exposure to multi-modal models (text + image/audio ...

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Ml Model Fine Tuning information

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 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 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 is the difference between Ml Model Fine Tuning vs Data Scientist?

AspectMl Model Fine TuningData Scientist
CredentialsKnowledge of machine learning frameworks, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentFocus on model optimization, coding, and experimentationData analysis, modeling, and interpretation
Industry UsageAI/ML development teams, tech companiesResearch, 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 popular job titles related to Ml Model Fine Tuning jobs in Florida?

For Ml Model Fine Tuning jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Ml Model Fine Tuning jobs in Florida look for?

The top searched job categories for Ml Model Fine Tuning jobs in Florida are:

What cities in Florida are hiring for Ml Model Fine Tuning jobs?

Cities in Florida with the most Ml Model Fine Tuning job openings:

Infographic showing various Ml Model Fine Tuning job openings in Florida as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Information Technology_USA - USA_Developer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees

$46.50 - $64.25/hr

Contractor

Re-posted 27 days ago


Job description

Local to NY/NJ or Dallas Only!
Role Descriptions: ESSENTIAL SKILLS:1.5+ years of software development in one or more languages (Python| C/C++| Go| Java); strong hands-on experience building and maintaining large-scale Python applications preferred.2.3+ years designing| architecting| testing| and launching production ML systems| including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows.3.Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution).4.Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude).5.Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions.6.Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.7.Preferred:Proficiency building and operating on cloud infrastructure (ideally AWS)| including containerized services (ECS/EKS)| serverless (Lambda)| data services (S3| DynamoDB| Redshift)| orchestration (Step Functions)| model serving (SageMaker)| and infra-as-code (Terraform/CloudFormation).
Essential Skills: ESSENTIAL SKILLS:1.5+ years of software development in one or more languages (Python| C/C++| Go| Java); strong hands-on experience building and maintaining large-scale Python applications preferred.2.3+ years designing| architecting| testing| and launching production ML systems| including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows.3.Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution).4.Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude).5.Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions.6.Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.7.Preferred:Proficiency building and operating on cloud infrastructure (ideally AWS)| including containerized services (ECS/EKS)| serverless (Lambda)| data services (S3| DynamoDB| Redshift)| orchestration (Step Functions)| model serving (SageMaker)| and infra-as-code (Terraform/CloudFormation).
Desirable Skills:
Keyword:
Skills: Digital : Python~C++
Experience Required[RATE REDACTED], Project Code :