ZipRecruiter

Log In

1

Python Ml Developer Jobs in Florida (NOW HIRING)

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Collaborate with software engineering teams to integrate trained models into Java/Python-based ...

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Collaborate with software engineering teams to integrate trained models into Java/Python-based ...

Futran Tech Solutions Pvt. Ltd.

Lead AI/ML Engineer

Tampa, FL · On-site

$96K - $127K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge ... The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms ...

Awesome Motive

AI Developer

Miami Beach, FL · On-site

You will sit between a Full Stack AI Developer and an AI ML Engineer - strong enough on the ML and ... Strong proficiency in Python, including production-grade practices - proper packaging, testing ...

New

Awesome Motive

AI Developer

Miami Beach, FL · On-site +1

You will sit between a Full Stack AI Developer and an AI ML Engineer - strong enough on the ML and ... Strong proficiency in Python, including production-grade practices - proper packaging, testing ...

New

Intraedge

Machine Learning Engineer

Sunrise, FL · On-site

Proficiency in Python and ML engineering best practices. Nice to Have Experience with Google Cloud Platform services (e.g.,Vertex Al, BigQuery, GCS). Experience deploying ML/GenAl systems in ...

Virtusa

Agentic AI developer

Tampa, FL · On-site

Bachelor's degree in Computer Science, Data Science, Engineering, or related field * 7-10 years of experience developing scalable applications, including AI/ML systems * Strong expertise in Python ...

CookUnity

Director, Data Science/ML

Miami, FL

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

Strong programming skills in Python with experience in relevant AI/ML libraries. * Knowledgeable in Statistics, Machine Learning concepts, and their real-world applications * Proven experience ...

Motion Recruitment

SQL Developer

Tampa, FL · On-site

$41.25 - $56.50/hr

Python programming skills * Experience in programming/debugging for business applications * Working ... Knowledge of AI/ML techniques (predictive modeling, NLP, etc.) * Strong analytical and problem ...

New

next page

Showing results 1-20

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Florida

Python Ml Developer information

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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Florida? For Python Ml Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Florida look for? The top searched job categories for Python Ml Developer jobs in Florida are:
What cities in Florida are hiring for Python Ml Developer jobs? Cities in Florida with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Applied AI/ML Lead

Applied AI/ML Lead

JPMorgan Chase & Co.

Tampa, FL • On-site

Full-time

Medical, Retirement

Re-posted 5 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 487 frontline employees who took The Breakroom Quiz

55th of 146 rated banks

Job description


As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you will lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents. You will architect and implement computer vision pipelines leveraging CRNN architectures for document type identification, page-level categorization, and visual feature extraction.
Job responsibilities
  • Lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents and evaluate and explore additional models and architectures to continuously improve classification accuracy, extraction quality, and processing efficiency.
  • Drive the development and fine-tuning of models for document understanding, text categorization, named entity recognition, and semantic understanding and combine visual layout information, textual content, and spatial relationships to extract structured data from complex scanned documents, while enabling automated categorization and metadata tagging of OCR-extracted text.
  • Lead the integration and optimization of OCR technology and generative AI capabilities into the document processing pipeline, ensuring high-accuracy text extraction from scanned TIF images across diverse document types, layouts, fonts, and quality levels. Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document understanding, classification, document summarization, and augmenting traditional extraction pipelines.
  • Architect and implement scalable ML training and inference pipelines using AWS SageMaker, managing model training, hyperparameter tuning, distributed training for large vision models, and real-time/batch inference endpoint deployment. Collaborate with software engineering teams to integrate trained models into Java/Python-based microservices deployed on AWS EKS, ensuring low-latency, high-throughput inference for production document processing workloads.
  • Establish robust MLOps practices and annotation workflows, including model versioning, automated retraining triggers, A/B testing of model variants, drift detection on document distributions, and comprehensive performance monitoring dashboards and design and manage labeling strategies for training data, ensuring high-quality ground truth datasets for image classification, text categorization, and document extraction tasks.
  • Build and manage a team of ML engineers and applied scientists, fostering a culture of experimentation, rapid prototyping, and rigorous evaluation of model performance against business KPIs.

Required qualifications, capabilities, and skills
  • Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
  • 7+ years of experience in applied ML/AI roles with at least 2+ years leading teams or large-scale ML initiatives
  • Advanced proficiency in Python and enterprise languages, with deep experience in PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow for model development and image processing. Proficiency in Java and/or Groovy for integrating ML capabilities into backend services and enterprise application ecosystems. Familiarity with Oracle databases for feature extraction, training data retrieval, and integration with ML workflows.
  • Deep expertise in computer vision and NLP models, with hands-on experience implementing and fine-tuning CRNN-based architectures for image classification and feature extraction. Strong experience with multimodal document understanding combining text, layout, and image features. Proficiency in transformer-based NLP models for text categorization, sequence labeling, named entity recognition, and semantic analysis of OCR-extracted content.
  • Practical experience with OCR technologies and image preprocessing, for text extraction from scanned documents, with an understanding of OCR accuracy optimization, preprocessing techniques, and post-processing correction. Experience with image preprocessing for scanned documents in TIF format, including multi-page handling, resolution normalization, deskewing, binarization, and noise removal.
  • Deep hands-on experience with AWS SageMaker and Amazon Bedrock, including end-to-end ML workflows such as training jobs, processing pipelines, model registry, distributed training, and real-time/batch inference endpoints. Practical experience leveraging foundation models, prompt engineering, and building generative AI-augmented document processing solutions. Experience deploying and scaling ML models as containerized microservices on AWS EKS using Docker and Kubernetes, with expertise in optimizing GPU-based inference workloads.
  • Strong knowledge of MLOps tools and practices, including MLflow, SageMaker Pipelines, or equivalent platforms for experiment tracking, pipeline automation, and model lifecycle management. Excellent leadership and communication skills with the ability to present complex technical concepts to senior leadership and non-technical audiences.

Preferred qualifications, capabilities, and skills
  • Domain expertise in the healthcare industry
  • Experience in applied ML/AI roles in document processing, computer vision, or NLP domains

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply