ZipRecruiter

Log In

1

Python Ai Ml Jobs in DeLand, FL (NOW HIRING)

BNY

Vice President, Full-Stack Engineer

Lake Mary, FL · On-site +1

$166K - $178K/yr

AI/ML Model integration (NLP and SpaCy); Java, Python, Node Js, and VTL; AWS Cloud Migration; Actimize PlugIn Development; Ansible, GitLab, Splunk, or Artifactory; Unix Shell Scripting; Autosys ...

BNY Mellon

Senior Specialist, Process Audit

Lake Mary, FL · On-site

$70K - $87K/yr

CAMS and CIA, considered beneficial; data/analytics/AI credentials (e.g., Python, Tableau/Power BI, cloud/Databricks, or ML governance training) are a plus. Preferred Experience (nice-to-have)

BNY

Senior Specialist, Process Audit

Lake Mary, FL

$70K - $87K/yr

CAMS and CIA, considered beneficial; data/analytics/AI credentials (e.g., Python, Tableau/Power BI, cloud/Databricks, or ML governance training) are a plus. Preferred Experience (nice-to-have)

All JobsPython Ai Ml JobsPython Ai Ml Jobs in DeLand, FL

Python Ai Ml information

See DeLand, FL salary details

$11

$52

$76

How much do python ai ml jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for python ai ml in DeLand, FL is $52.19, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $59.28 per hour, depending on experience, location, and employer.

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What cities near DeLand, FL are hiring for Python Ai Ml jobs?

Cities near DeLand, FL with the most Python Ai Ml job openings:

Python Ai Ml jobs near you

Sr. Java Developer with strong AI/ML exp

Saransh Inc

Lake Mary, FL • On-site

$50 - $63.75/hr

Contractor

Re-posted 2 days ago

Job description

Role: Sr. Java Developer with strong AI/ML exp
Location: Lake Mary, FL (Onsite from Day 1)
Job Type: Long Term Contract
 
Job Description:
 
Relevant Experience: 10+ Years

Technologies:

  • Transaction Monitoring AML, Fraud, Sanctions Screening OFAC, CDD KYC, Trade Surveillance, Financial Crimes Risk Assessment.
  • Python NumPy, Pandas, TensorFlow/PyTorch.
  • Java Spring Boot, multithreading, JVM optimization.

Required Skills:

  • 10 or more years of experience in data science.
  • Ability to work effectively in a dynamic group that has several concurrent projects.
  • Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
  • Machine learning Artificial Intelligence Implement algorithms and statistical models to automate data analysis, data profiling and data validation.
  • Develop programs and analyze large datasets to uncover answers to complex problems. Should be comfortable writing code and working in a variety of programming languages, such as Java, Python, and SQL
  • Hands on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine tuning, or agent-based architectures.
  • Experience with AI frameworks like Langchain, Llama Index, OpenAI, or similar tools.
  • Proficient with Java, Python, SQL.
  • Build APIs and microservices to support AI functionalities.
  • Optimize code for performance, scalability, and reliability.
  • Participate in code reviews, testing, and debugging.
  • Exposure to MLOps practices and tools.
  • Proficiency in Python NumPy, Pandas, TensorFlow/PyTorch, etc.
  • Strong knowledge of Java Spring Boot, multithreading, JVM optimization
  • Experience with RESTful APIs, cloud platforms (either AWS, GCP, or Azure), and containerization Docker, Kubernetes
  • Familiarity with version control systems Git and CI CD pipelines.
  • Experience with AI/ML frameworks and libraries.
  • Knowledge of data engineering tools e.g., Apache Kafka, Spark
  • NumPy, Pandas, TensorFlow/PyTorch, etc
  • Spring Boot, multithreading, JVM optimization.
  • Experience with AI ML frameworks and libraries.
  • Data engineering tools (e.g., Apache Kafka, Spark).
  • Experience preferably in one or many of these Transaction Monitoring AML, Fraud, Sanctions Screening OFAC, CDD KYC, Trade Surveillance, Financial Crimes Risk Assessment.