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

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Mlops Data Engineer information

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$42.2K

$123.1K

$168.4K

How much do mlops data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for mlops data engineer in Boca Raton, FL is $123,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 per year, depending on experience, location, and employer.

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

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining machine learning models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What is the salary of MLOps Data Engineer?

The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with advanced skills in cloud platforms, automation, and machine learning tools may earn higher compensation.
What are popular job titles related to Mlops Data Engineer jobs in Boca Raton, FL? For Mlops Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
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Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,096 per year, or $59.2 per hour.

Manager of Automation and AI

Robertson, Anschutz, Schneid, Crane & Partners, PLLC

Plantation, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Robertson, Anschutz, Schneid, Crane & Partners, PLLC is a rapidly expanding full-service creditors’ rights law firm providing comprehensive collection services. As Manager of Automation and AI, you will lead a team to develop advanced automation and AI solutions, streamline workflows, and shape the firm’s long-term technology strategy.
Responsibilities:
• Lead, mentor, and grow a team of software developers and analysts—including hiring and upskilling—to deliver scalable automation and AI solutions across the firm.
• Own the end-to-end automation lifecycle: discovery, solution design, development, testing, deployment, support, and documentation.
• Design, develop, and maintain scalable workflows, custom connectors, applications, and integrations using SQL, Python, JavaScript, PowerShell, React, C#, and Azure (or comparable) technologies.
• Partner with business stakeholders to gather requirements and translate them into practical automation and AI solutions tied to measurable outcomes.
• Develop algorithms and predictive models, and analyze structured and unstructured data to solve complex business challenges.
• Integrate AI/ML models into larger systems, including cloud infrastructure, software applications, and data platforms.
• Build and maintain the data pipelines and queries that power automations, BI dashboards, and reporting.
• Oversee the firm’s library of BI dashboards and reporting—both client-facing and internal—spanning forecast, financial, performance, and portfolio-trend analytics.
• Monitor and optimize automation, intelligent document processing, and AI model performance, manage exceptions, and ensure high availability through logging and dashboards.
• Establish automation best practices, governance, procedures, and reusable components.
• Stay current with advances in GenAI, ML, MLOps, and LLMOps, applying new techniques to strengthen the firm’s technology stack.
• Perform other duties as assigned at the manager’s discretion.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field—or equivalent experience on a year-for-year basis.
• 5+ years of hands-on software development experience delivering automation solutions across modern tech stacks and management experience for a development team.
• Strong programming skills in Python and SQL, with working proficiency in JavaScript, React, and C#.
• Demonstrated experience implementing automations and production machine learning systems.
• Solid grasp of AI/ML fundamentals—classical ML, deep learning, and LLMs—along with the supporting mathematics, statistics, and data-handling concepts.
• Minimum 2 years using a major cloud platform (Microsoft Azure or Google Cloud Platform), including integrating AI/ML models with cloud infrastructure.
• Familiarity with DevOps practices, containerization (e.g., Docker), CI/CD, and Agile delivery.
• Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving, stakeholder-management, organizational, and time-management skills, plus the business acumen to connect technical work to business value.
• Spoken and written fluency in English.
Preferred:
• Master’s degree in a quantitative field such as Engineering, Computer Science, AI/ML, or Data Science.
• 2+ years focused on AI/ML engineering or data science, with an emphasis on GenAI and ML.
• Proven expertise with intelligent document processing, GenAI, and LLM-based solutions.
• Experience with any advanced collections / debt-recovery platform.
• Hands-on experience with tools such as n8n, Power Automate, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, LangChain, Prefect, Azure Document Intelligence, OpenCV, NLTK, and spaCy.
Company:
RAS and its affiliated law firms provide full-service creditors’ rights and real estate legal services in Florida, Georgia, South Carolina, Maryland, New Jersey, New York, Pennsylvania, Texas, Virginia and Puerto Rico in both State and Federal Courts. Founded in 2010, the company is headquartered in Boca Raton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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