ZipRecruiter

Log In

1

Python Ml Developer Jobs in Tallahassee, FL (NOW HIRING)

Eliassen Group

Senior AI/ML Engineer

Tallahassee, FL · Remote

$90 - $100/hr

Strong Python skills with TensorFlow and PyTorch. * Proven AWS expertise including Bedrock, Lambda ... AWS certification required such as Solutions Architect Associate, Developer Associate, Machine ...

Trulieve

Senior Data Engineer

Tallahassee, FL · On-site

$95K - $129K/yr

... AI/ML capabilities into data pipelines. * Proficiency in SQL, Python, and Data Engineering ... Frameworks * Advanced SQL skills including window functions, CTEs, recursive queries, semi ...

Trulieve

Senior Data Engineer

Tallahassee, FL · Remote

$95K - $129K/yr

... AI/ML capabilities into data pipelines. * Proficiency in SQL, Python, and Data Engineering ... Frameworks * Advanced SQL skills including window functions, CTEs, recursive queries, semi ...

Varsity Tutors

Machine Learning Tutor

Tallahassee, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Tallahassee, FL

Python Ml Developer information

See Tallahassee, FL salary details

$12

$55

$81

How much do python ml developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for python ml developer in Tallahassee, FL is $55.69, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.27 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Tallahassee, FL? For Python Ml Developer jobs in Tallahassee, FL, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Tallahassee, FL look for? The top searched job categories for Python Ml Developer jobs in Tallahassee, FL are:
What cities near Tallahassee, FL are hiring for Python Ml Developer jobs? Cities near Tallahassee, FL with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Tallahassee, FL as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $115,825 per year, or $55.7 per hour.
AI/ML Engineer-Alpharetta, GA, Tallahassee, FL, Montgomery, AL, Nashville, TN, Raleigh, NC, Colum...

AI/ML Engineer-Alpharetta, GA, Tallahassee, FL, Montgomery, AL, Nashville, TN, Raleigh, NC, Colum...

TechniPros, LLC

Tallahassee, FL

$69K - $93K/yr

Other

Posted 2 days ago

Job description

Job Title
AI/ML Engineer

Location
Alpharetta, GA

Duration
Long-Term Contract (Duration to be discussed)

Employment Type
W2 Only (No C2C)

Job Summary
We are seeking a highly experienced AI/ML Engineer to design, develop, deploy, and scale enterprise-grade AI/ML solutions. The ideal candidate will have a strong background in Software Engineering, Data Engineering, or Solution Architecture, combined with hands-on expertise in Generative AI, Agentic AI, Predictive AI, and cloud-based AI platforms. This role requires extensive experience building production-ready AI applications, backend services, and AI/ML platforms leveraging AWS technologies.

Key Responsibilities
Design, develop, and deploy scalable AI/ML solutions for enterprise applications.
Build and maintain Generative AI and Agentic AI applications using modern AI frameworks and cloud services.
Develop backend APIs and microservices using Python and FastAPI.
Implement and optimize AI/ML pipelines for model training, deployment, monitoring, and lifecycle management.
Integrate Large Language Models (LLMs) into business applications and enterprise workflows.
Leverage AWS Bedrock and Amazon SageMaker for AI solution development and deployment.
Establish and maintain CI/CD pipelines and MLOps best practices for AI/ML workloads.
Monitor AI systems using observability and performance monitoring platforms.
Collaborate with engineering, architecture, data, and business teams to deliver enterprise AI solutions.
Ensure AI applications meet scalability, security, reliability, and performance requirements.
Support AI platform development initiatives and enterprise AI modernization efforts.

Required Skills
10+ years of experience in Software Engineering, Data Engineering, or Solution Architecture.
3+ years of hands-on experience designing and deploying AI/ML solutions.
Strong expertise in Python development.
Experience with FastAPI and backend API development.
Hands-on experience with Generative AI applications and frameworks.
Strong understanding of Large Language Models (LLMs).
Experience building Agentic AI solutions and intelligent agents.
Experience with Predictive AI models and AI-driven business solutions.
Hands-on experience with AWS Bedrock and Amazon SageMaker.
Strong background in AI/ML Platform Development.
Experience building scalable backend services and APIs.
Experience implementing CI/CD Pipelines for AI/ML workloads.
Experience using GitHub Copilot or similar AI-assisted development tools.
Hands-on experience with observability and monitoring tools including:
Splunk
Datadog
Arize
Galileo
Similar AI monitoring and observability platforms

Preferred Qualifications
Experience designing and implementing enterprise-scale AI platforms.
Strong understanding of MLOps frameworks and AI governance practices.
Experience with cloud-native architectures and distributed systems.
Familiarity with AI observability, model monitoring, and drift detection.
Experience integrating AI solutions into large-scale enterprise environments.
AWS Certifications and/or AI/ML-related certifications preferred.
Experience working with enterprise AI adoption and transformation initiatives.

Soft Skills
Strong analytical and problem-solving abilities.
Excellent verbal and written communication skills.
Ability to collaborate effectively across cross-functional teams.
Strong stakeholder management and leadership skills.
Self-motivated with the ability to work independently.
Ability to manage multiple priorities in a fast-paced environment.
Strong organizational and decision-making capabilities.

Additional Notes
W2 Only Opportunity.
No Corp-to-Corp (C2C) candidates.
Looking for candidates with strong enterprise AI/ML implementation experience.
Candidates should have hands-on expertise in Generative AI, Agentic AI, and AWS AI services.
Experience in production-grade AI deployments is highly preferred.

Mandatory Skills
Python
FastAPI
Generative AI
Large Language Models (LLMs)
Agentic AI
Predictive AI
AWS Bedrock
Amazon SageMaker
AI/ML Platform Development
Backend API Development
CI/CD Pipelines
GitHub Copilot (or similar AI coding tools)
Splunk
Datadog
Arize
Galileo
Software Engineering
Data Engineering
Solution Architecture

Best Regards:

Monika G
Phone:
Email:

Apply