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Mlops Engineer Remote Jobs in Boca Raton, FL (NOW HIRING)

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Mlops Engineer Remote information

See Boca Raton, FL salary details

$36.1K

$110K

$181.7K

How much do mlops engineer remote jobs pay per year?

As of Aug 1, 2026, the average yearly pay for mlops engineer remote in Boca Raton, FL is $109,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $143,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote MLOps Engineers, and how can they be addressed?

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

What is the difference between Mlops Engineer Remote vs Data Engineer?

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

What does an MLOps Engineer do, especially in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

What are the key skills and qualifications needed to thrive as an MLOps Engineer (Remote), and why are they important?

To thrive as an MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.
What are popular job titles related to Mlops Engineer Remote jobs in Boca Raton, FL? For Mlops Engineer Remote jobs in Boca Raton, FL, the most frequently searched job titles are:
What cities near Boca Raton, FL are hiring for Mlops Engineer Remote jobs? Cities near Boca Raton, FL with the most Mlops Engineer Remote job openings:
Mlops Engineer Remote jobs near you

Generative AI and ML Engineer

Seez

Fort Lauderdale, FL • On-site, Remote

Full-time

PTO

Posted 23 days ago

Job description

First things first: are you customer-obsessed? If the answer is yes, you might be a great fit for Seez.

Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. Since 2016, we've been building scalable SaaS and digital retail solutions that help dealerships, OEMs, and marketplaces deliver smarter, more seamless car buying experiences. Our technology combines AI, data, and automation to power everything from intelligent vehicle discovery to next-generation conversational and generative AI tools.

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new technologies, solving complex problems, and building intelligent systems that shape the future of automotive retail.

JOB KEY RESPONSIBILITIES 

  • Work closely with business analysts during the requirement definition stage to make sure the business requirements can be implemented in our platform.
  • Work day-to-day in a multi-functional team to build and extend machine learning libraries and frameworks to be used in scalable customer facing web applications.
  • Collaborate with software engineers, product managers, designers, and analysts.
  • Deliver testable, maintainable, and high-quality code.
  • Monitor, test, and continuously optimize our Machine Learning models.
  • Ensure that our user experience is the very best it can be.
  • Share knowledge, promote best practices, and collaborate with some of the best Machine Learning engineers in the company.
  • Collaborate with key internal stakeholders.
  • Employ impeccable analytical and problem-solving abilities to tackle complex challenges in the Machine Learning and AI domains.
  • Regularly update knowledge with the latest trends and developments in the machine learning industry.
  • Work effectively with minimal supervision and a proven ability to align data infrastructure with business goals.

Requirements

WHAT YOU'LL BRING TO THE PARTY (MUST HAVES)
  • Minimum 2 years work experience 
  • Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases.
  • Experience with open source LLMs and relevant hardware to host them
  • Proficiency with OpenAI API, LangChain ecosystem, and prompt engineering is essential.
  • Agent & Operator Development
  • Architect, build, and deploy autonomous AI agents capable of accessing web environments via function calls, GUI interactions, or multi-agent collaboration
  • Design workflows for agents to autonomously accomplish user-defined goals.
  • Orchestration & Workflow Management
  • Coordinate interactions across multiple AI agents, ensuring seamless handoffs and decision logic
  • Use frameworks such as LangChain, AutoGen, or similar to manage agent orchestration.
  • Skilled in API integration with various providers and enhancing customer experience.
  • Deep familiarity with data structures, data modeling, and software architecture.
  • Proficiency in Python and SQL. R is considered a plus as well.
  • Competency in data visualization using R, Python libraries, Tableau, PowerBI, or similar tools.
  • Proficiency in using version control tools such as Git.
  • Strong ability to understand business needs, data gathering, clear communication, and incorporating feedback.
  • Experience analyzing a feature in production using analytics and experiments.
  • Experience in applying machine learning models to solve real-world problems.
Technical Skills

Domain Requirements

  • Programming Python, optionally Java/Node.js
  • LLM & Agent Frameworks At least 2 from: LangChain, AutoGen, OpenAI Functions,
  • AutoGPT, AgentQL, CrewAI, Playwright and more
  • Web Automation GUI interaction frameworks, browser-simulation agents (e.g.
  • Operator's CUA)
  • Seez App Technology LTD
  • DIFC, Dubai
  • UAEData & MLOps ETL, real-time streams, database management (SQL/NoSQL),
  • data cleaning and feature engineering
  • Prompt Engineering Template design, multi-step tool orchestration
  • Security & Ethics Adversarial training, differential privacy, bias audits
YOU'LL THRIVE IN THIS ROLE IF YOU'RE SOMEONE (GREAT-TO-HAVE)
  • Experience working in startups
  • Experience with cloud services such as AWS and Azure.
  • Knowledge of the automotive industry is a plus.
  • Experience with writing, releasing, and working in large distributed systems, deep learning or/and natural language processing is a big plus.
  • Understanding of the fundamentals of machine learning and NLP, with the ability to apply these principles to solve real-world problems, developments in Deep Learning and Language Modeling, especially Generative AI and Large Language Models.
EDUCATION/QUALIFICATIONS 
  • Fundamentals: Statistics and Probability, Machine Learning algorithms, Data Science practices.
  • Advanced Degree: A Master's degree in Computer Science, Engineering, or a related STEM field.

Benefits

  • 25 days of paid annual leave plus public holidays
  • Flexible remote work options
  • Open door policy to CEO and all Leadership team
  • One-on-one wellness coaching sessions because your well-being matters.
  • An annual wellness budget to fuel whatever keeps you balanced-whether that's yoga, hiking, or visit to the museum.
  • An annual learning budget to power your growth-be it a new course, certification, or skill you've been eyeing
  • Regular team events, social calls, the best company SWAG, and a vibrant remote culture

WHY JOIN SEEZ?

At Seez, we're all about attracting and keeping top talent, the kind of people who bring ideas, energy, and curiosity to the table. We've created a space where great work gets noticed, collaboration is second nature, and our values aren't just posters on the wall; they guide everything we do.

We're a colorful mix of cultures, backgrounds, and perspectives. Everyone has a voice, a purpose, and the freedom to show up as their real self. It's the kind of place where you can do meaningful work, grow quickly, enjoy a healthy work-life balance, and shape your own career path.

Apply