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Mlops Data Engineer Jobs in Florida (NOW HIRING)

DPR Construction

MLOps Engineer

Orlando, FL

DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical ...

DPR Construction

MLOps Engineer

Jacksonville, FL

DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical ...

DPR Construction

MLOps Engineer

Tampa, FL

DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical ...

DPR Construction

MLOps Engineer

Orlando, FL · On-site

They are looking for an experienced MLOps Engineer to join their Data and AI team to design and implement scalable, cloud-native solutions that support their Data & Development team, while ...

OneImaging

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

The Data Engineer will be responsible for building scalable data systems, integrating data from ... MLOps practices. Company : Radiology platform saving insurance plans, corporations and their ...

OneImaging

Data Engineer

Miami, FL

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic ... Knowledge of machine learning workflows and MLOps practices. The base salary range for this ...

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI. Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI. Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations ...

OneImaging

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic ... Knowledge of machine learning workflows and MLOps practices. The base salary range for this ...

Accenture

Google Senior Data Engineer

Tampa, FL · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

Accenture

Google Senior Data Engineer

Miami, FL · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

ENI

$57.25 - $73.50/hr

... MLOps, AIOps * Applicare standard e best practices (governance, qualita, sicurezza) negli use-case e contribuire allo stesso tempo alla loro definizione ed evoluzione * Collaborare con Data Engineer ...

Parsons

$103K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data scientists and analysts to automate model training, testing, data versioning, and experimentation workflows. * Build, configure, and manage large-scale development and test ...

Parsons

MLOps Engineer - CI/CD & Simulation - TS/SCI

Tampa, FL · On-site

$103K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data scientists and analysts to automate model training, testing, data versioning, and experimentation workflows. * Build, configure, and manage large-scale development and test ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Florida

Mlops Data Engineer information

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 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 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 ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.

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

Data Engineer - MLops - In-person Interview must

Innovative Information Technologies, Inc

Orlando, FL • On-site

$106K - $128K/yr

Other

Posted 4 days ago

Job description

Data Engineer 

Location: Orlando, FL - 100% Onsite

Duration: Longterm contract

Only Locals

Onsite interview must

 

Job Knowledge: Python, sql, Tableau, MLOps,  Data IKU :

 

·         Demonstrate expert data engineering skills supporting workflow automation using tools such as Apache Airflow, Databricks, or Azure Data Factory or ML platforms such as Dataiku or DataRobot.

·         Ability to research, analyze and resolve operational issues such as run-time failures, long-running job execution and/or platform errors in a timely manner.

·         Provide Root Cause analyses (RCA) to identify and proactively prevent future issues.

·         Expert experience working with large volumes of data to include integration and cleansing.

·         Knowledge of production support concepts such incident reporting, testing, debugging, monitoring, and audits.

·         Skill in creating and maintaining technical documentation to include run book creation for routine or repeatable operations, code annotation, and other asset documentation.

·         Strong knowledge of SQL, and Python (3+ years). Snowflake SQL experience preferred.

·         Familiarity leveraging ML algorithms such as Decision Trees, Logistic

·         Regression, Random Forest and XGBoost using an ML platform and/or an IDE such as Spyder or PyCharm.

·         Working knowledge of Tableau Desktop/Server.

Relevant Skills:

·         SQL, Python, Dataiku, Tableau

·         Ability to develop effective working relationships

·         Possessing excellent interpersonal skills to include teamwork, facilitation, and negotiation

·         Ability to work independently or as part of a team to resolve issues

·         Effective written and verbal communication skills

·         Demonstrate an ability to work under pressure, manage competing priorities and meet or exceed expectations regarding issue identification, resolutions and communication

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