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Machine Learning Engineer Associate Jobs in Orlando, FL

The Postdoctoral Associate's Responsibilities include but are not limited to: * Performing ... Strong programming experience with PyTorch for machine learning and scientific computing ...

... associate-level data scientists, providing coaching on model development methodologies and ... and machine learning platforms (e.g., AzureML). Programming: Expert-level skills in SQL, Python ...

Data Scientist

Orlando, FL ยท On-site

$107K/yr

... associate-level data scientists, providing coaching on model development methodologies and ... machine learning platforms (e.g., AzureML). โ€ข Programming: Expert-level skills in SQL, Python ...

Showing results 41-60

Machine Learning Engineer Associate information

See Orlando, FL salary details

$38.7K

$77.1K

$123.2K

How much do machine learning engineer associate jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning engineer associate in Orlando, FL is $77,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $88,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are the most commonly searched types of Machine Learning Engineer jobs in Orlando, FL?

The most popular types of Machine Learning Engineer jobs in Orlando, FL are:

What are popular job titles related to Machine Learning Engineer Associate jobs in Orlando, FL?

For Machine Learning Engineer Associate jobs in Orlando, FL, the most frequently searched job titles are:

What cities near Orlando, FL are hiring for Machine Learning Engineer Associate jobs?

Cities near Orlando, FL with the most Machine Learning Engineer Associate job openings:

Infographic showing various Machine Learning Engineer Associate job openings in Orlando, FL as of June 2026, with employment types broken down into 10% Internship, 84% Full Time, 3% Part Time, and 3% Contract. Highlights an 75% In-person, 3% Hybrid, and 22% Remote job distribution, with an average salary of $77,142 per year, or $37.1 per hour.

Senior Full Stack Developer and Product Owner: Real-Time Intelligent Communication Systems

Entratus

Orlando, FL โ€ข Remote

Full-time

Re-posted 26 days ago


Job description

Candidates in the following states are encouraged to apply:
Florida, Georgia

Company Overview:


Join our innovative technology company as we develop cutting-edge solutions for agentic, context-aware intelligent conversations. We specialize in building platforms and products that deliver conversational agents.

Job Summary:


We are seeking an experienced Lead Full Stack Developer & Product Owner to own and drive the development of our real-time Python application. This role involves leading a team of developers, managing timelines, and collaborating closely with a project manager to ensure successful execution.

The ideal candidate is not just a technical expert in Python and Node.js but also a strategic leader who can balance hands-on development with team management, product ownership, and roadmap execution. This role requires someone who thrives in a high-availability, real-time environment and can optimize communication frameworks for AI-driven applications.

Key Responsibilities: 

  1. Technical Leadership & Team Management
    • Lead and mentor a team of developers, ensuring best practices and high-quality code standards.
    • Oversee project timelines, sprint planning, and resource allocation, working closely with a Project Manager to align development with business objectives.
    • Own the architecture and design of scalable, real-time communication systems using Python, Node.js, Redis, containerization, and cloud technologies.
    • Drive continuous improvement in development processes and system performance.
    • Ensure low-latency, high-availability communication pipelines for AI-powered applications.
  2. Full Stack Development
    • Drive the design and development of our existing scalable real-time communication systems using Node.js, Python, containerization, Redis, and other relevant technologies. 
    • Experience with asynchronous programming / multi-threading. 
    • Ensure low-latency, high-availability communication pipelines for AI-powered applications and services. 
    • Maintain an up-to-date understanding of emerging trends in real-time communication technologies and AI integration. 
    • Experience with a variety of Python packages, including the following:  
    • Asynchronous Programming and Web Frameworks: FastAPI, Uvicorn, Aiohttp, Asyncio 
    • Data Manipulation, Validation, and Processing: Pandas, Openpyxl, Numexpr, Python Dateutil, Tqdm, Pydantic Settings 
    • Database Interaction: SQLAlchemy, Psycopg2, Pgvector 
    • Machine Learning and Natural Language Processing: LangChain, Tiktoken, Litellm, Semantic Router 
    • Configuration and Environment Management: Python Dotenv, Toml 
    • Cloud Services and Storage: Azure Storage Blob
    • Communication Frameworks: Redis, BullMQ
    • Error Monitoring and Logging: Sentry SDK 
    • Testing: Pytest 
  3. Full Stack Development 
    • Build backend services using Python frameworks and integrate them with Node.js components. 
    • Develop frontend elements as needed, ensuring seamless integration with backend systems. 
    • Implement and optimize asynchronous programming for improved performance. 
  4. Product Ownership 
    • Define the product vision and roadmap for the real-time communication platform. 
    • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. 
    • Prioritize development tasks and manage the product backlog to ensure timely delivery. 
    • Act as the main point of contact for stakeholders regarding product updates and technical solutions. 
  5. Distributed Communication Frameworks 
    • Lead the development of communication frameworks. 
    • Ensure efficient message passing and event handling across distributed systems. 
    • Optimize system scalability and reliability through effective use of containerization and cloud services. 
  6. AI and Machine Learning Integration 
    • Integrate machine learning and natural language processing tools into the communication platform. 
    • Implement context-aware conversation features. 
  7. Quality Assurance and Monitoring 
    • Implement testing strategies to ensure code quality and reliability. 
    • Set up error monitoring and logging with tools. 
    • Manage configuration and environment settings. 
  8. Cloud Services and Storage 
    • Utilize Azure and other cloud services for efficient data storage and retrieval. 
    • Implement best practices for cloud-based infrastructure and distributed systems. 
  9. Mentorship and Collaboration 
    • Mentor junior developers and promote a culture of excellence and continuous learning. 
    • Collaborate with other teams to ensure alignment and integration across the platform. 

Required Qualifications:

  • 5+ years of software development experience, with a strong background in Python and Node.js.
  • Proven leadership experience in managing developers, technical projects, and timelines.
  • Strong understanding of asynchronous programming, multi-threading, and distributed systems.
  • Experience with containerization (Docker, Kubernetes) and cloud services (Azure, AWS).
  • Proficiency with Redis, and real-time communication frameworks.
  • Strong problem-solving skills and ability to drive technical initiatives.
  • Excellent communication and collaboration skills, especially in working with project managers.

Preferred Qualifications:

  • Experience with AI/ML integration, especially in natural language processing. 
  • Familiarity with cloud services (e.g., Azure, AWS) and cloud storage solutions. 
  • Knowledge of DevOps practices and CI/CD pipelines. 
  • Experience with database systems and data processing libraries. 
  • Excellent communication skills and ability to work collaboratively. 

Why Join Us? 

  • Be part of a mission-driven team transforming intelligent communication systems. 
  • Lead the development of cutting-edge technology at the forefront of innovation. 
  • Enjoy a collaborative, inclusive work environment with opportunities for career growth. 

Location: Remote with some travel for meetings and to offices in Orlando or Deerfield Beach, Florida may be required.

Compensation: Competitive salary, performance-based bonuses, and a comprehensive benefits package. 


If you’re passionate about learning and contributing to scalable, real-time Python applications in an AI-driven environment, we’d love to hear from you. Apply today and start your journey with us!