ZipRecruiter

Log In

1

Mlops Data Engineer Jobs in Florida (NOW HIRING)

Deloitte

AI Engineer Consultant

Miami, FL · Hybrid

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Deloitte

AI Engineer Consultant

Tampa, FL · Hybrid

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Deloitte

AI Engineer Consultant

Jacksonville, FL · Hybrid

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

StratEdge It consulting INC

AWS DevOps Engineer

Tampa, FL · On-site

$45/hr

Implement MLOps pipelines for continuous model integration and delivery. Collaborate with Data Scientists and AI Engineers to operationalize machine learning models. Containerization & Orchestration ...

New

Echo IT Solutions

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

... data engineering skills to build and deploy models. • Key skills include mastering Generative AI, Large Language Models (LLMs) via prompt engineering and fine-tuning, alongside MLOps, cloud ...

previous pagenext page

Showing results 21-40

All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Florida

Mlops Data Engineer information

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 Florida? For Mlops Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Florida look for? The top searched job categories for Mlops Data Engineer jobs in Florida are:
What cities in Florida are hiring for Mlops Data Engineer jobs? Cities in Florida with the most Mlops Data Engineer job openings:
Mlops Data Engineer jobs near you

AI engineer

Indotronix International Corporation

Fort Lauderdale, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 15 days ago

Job description

AI engineer | Fort Lauderdale, Florida, United States AI Engineer (Remote, Contract-to-Perm) Location: Fort Lauderdale, FL (Remote) Employment Type: C2C, Contract to Perm About the Role Join a forward-thinking team as an AI Engineer, where you'll deliver impactful machine learning solutions across diverse use cases. You'll take full ownership of projects, from data exploration to model deployment, working closely with a Senior ML/AI Engineer and reporting directly to the Director, ACE. Operate within an established MLOps framework while enjoying autonomy and opportunities to drive innovation. This is a fully remote position, offering flexibility and the potential for long-term growth. Responsibilities - Develop, train, evaluate, and deploy ML/AI models for classification, regression, anomaly detection, NLP, and generative AI applications - Build and maintain robust data pipelines and feature engineering workflows for production models - Write clean, well-tested code and participate in peer code reviews to maintain high-quality standards - Monitor and retrain deployed models to address data drift or performance degradation - Create anomaly detection and predictive maintenance models using network telemetry and time-series data - Design and deploy NLP and speech models for call summarization, sentiment analysis, and agent assist tools - Build models for churn prediction, customer segmentation, next-best-action, demand forecasting, and operational optimization - Collaborate with internal teams to translate business problems into effective AI solutions - Contribute to MLOps practices, including model versioning, experiment tracking, and automated deployment Required Skills and Experience - At least 2+ years in machine learning, AI engineering, or applied data science - Proven track record deploying ML models in production environments - Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face) - Experience with data pipeline tools/frameworks (Spark, Airflow, dbt, SQL) - Familiarity with cloud platforms (AWS, Azure) and containerized deployment (Docker, Kubernetes) - Solid understanding of classical ML techniques and modern generative AI/LLM approaches - Clear communication skills with the ability to explain technical concepts to non-technical stakeholders - Strong problem-solving skills and independent project ownership Preferred Skills - Experience in telecommunications, ISP, fiber/broadband, or network-intensive industries - Familiarity with time-series data, network telemetry, or streaming data platforms - Hands-on experience with NLP, speech processing, or conversational AI - Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases) - Bachelor's or master's degree in Computer Science, Machine Learning, Data Science, or a related field Benefits - 100% remote role with flexible work arrangements - Opportunity for contract-to-permanent conversion and career advancement - Work with cutting-edge AI and MLOps technologies - Collaborate with a highly skilled, innovative team - Direct impact on business-critical projects with visible outcomes How to Apply Ready to take your AI engineering career to the next level? Submit your resume today for immediate consideration. Candidates must be authorized to work in the US without sponsorship.
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

View All Indotronix Jobs

Apply