Bigdata Engineer
Tampa, FL · On-site
$52.75 - $69.75/hr
... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...
Bigdata Engineer
Tampa, FL · On-site
$52.75 - $69.75/hr
... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...
Full-Stack AI Engineer
Tampa, FL · On-site
Use Azure Machine Learning for model orchestration and deployment. * Integrate LangChain and JavaScript AI libraries into web applications. * Work with data scientists and ML engineers to ...
Full-Stack AI Engineer
Tampa, FL · On-site
Use Azure Machine Learning for model orchestration and deployment. * Integrate LangChain and JavaScript AI libraries into web applications. * Work with data scientists and ML engineers to ...
Manufacturing/Engineering Intern
Tampa, FL · On-site
$16 - $21/hr
... world learning opportunity through this internship program where students will discover the ... engineering/operations and prepare them for a career in manufacturing. What Crown Offers You
Manufacturing/Engineering Intern
Tampa, FL · On-site
$16 - $21/hr
... world learning opportunity through this internship program where students will discover the ... engineering/operations and prepare them for a career in manufacturing. What Crown Offers You
... Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML-based ... with DevOps teams. • Use AI to automate processes such as sentiment analysis, image ...
... Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML-based ... with DevOps teams. • Use AI to automate processes such as sentiment analysis, image ...
Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters ... Partner closely with ML engineers, software engineers, and product teams to move models from ...
Quick apply
Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters ... Partner closely with ML engineers, software engineers, and product teams to move models from ...
Full Stack Developer Intern (Remote Opportunity)
Tampa, FL · Remote
$25/hr
The intern will work alongside experienced engineers in a collaborative, DevSecOps-oriented environment, contributing to real-world applications and learning tools such as AI technologies, Git ...
New
Full Stack Developer Intern (Remote Opportunity)
Tampa, FL · Remote
$25/hr
The intern will work alongside experienced engineers in a collaborative, DevSecOps-oriented environment, contributing to real-world applications and learning tools such as AI technologies, Git ...
New
Imagine joining an acclaimed team where career paths span from account executives and data scientists to AI strategists, machine learning specialists, and data engineers. SFL Scientific, a Deloitte ...
Imagine joining an acclaimed team where career paths span from account executives and data scientists to AI strategists, machine learning specialists, and data engineers. SFL Scientific, a Deloitte ...
MLOps Engineer
Tampa, FL · On-site
They are seeking an experienced MLOps Engineer to join their Data and AI team, focusing on developing robust data solutions to support Machine Learning, Data Science, and Software Engineering ...
MLOps Engineer
Tampa, FL · On-site
They are seeking an experienced MLOps Engineer to join their Data and AI team, focusing on developing robust data solutions to support Machine Learning, Data Science, and Software Engineering ...
... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
AI Full Stack Engineer
Tampa, FL · On-site
Role: AI Full Stack Engineer Location: Tampa, FL Duration: 6 months Role Descriptions: We are ... The role requires a passion for cutting-edge machine learning integrations and delivering high ...
AI Full Stack Engineer
Tampa, FL · On-site
Role: AI Full Stack Engineer Location: Tampa, FL Duration: 6 months Role Descriptions: We are ... The role requires a passion for cutting-edge machine learning integrations and delivering high ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Design, develop, and deploy machine learning models for manufacturing applications, including ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Design, develop, and deploy machine learning models for manufacturing applications, including ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Design, develop, and deploy machine learning models for manufacturing applications, including ...
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Design, develop, and deploy machine learning models for manufacturing applications, including ...
AI Developer
Tampa, FL · On-site
$100K - $130K/yr
... Engineering, Agentic AI • Knowledge of advanced statistical/machine learning techniques ... Machine Learning & Advanced Analytics • Build, train, tune, and deploy machine learning models ...
AI Developer
Tampa, FL · On-site
$100K - $130K/yr
... Engineering, Agentic AI • Knowledge of advanced statistical/machine learning techniques ... Machine Learning & Advanced Analytics • Build, train, tune, and deploy machine learning models ...
Manufacturing Engineer - Automation & Digitalization
Gibsonton, FL · On-site
$73.20K - $94K/yr
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Design, develop, and deploy machine learning models for manufacturing applications, including ...
Manufacturing Engineer - Automation & Digitalization
Gibsonton, FL · On-site
$73.20K - $94K/yr
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy ... Design, develop, and deploy machine learning models for manufacturing applications, including ...
Python Developer
Tampa, FL · On-site
$47.50 - $65.50/hr
Contract Job Summary We are seeking an experienced Python AI/ML Engineer to design, develop, and implement machine learning solutions for AI and automation initiatives. The ideal candidate will have ...
Python Developer
Tampa, FL · On-site
$47.50 - $65.50/hr
Contract Job Summary We are seeking an experienced Python AI/ML Engineer to design, develop, and implement machine learning solutions for AI and automation initiatives. The ideal candidate will have ...
MLOps Engineer
Tampa, FL · On-site
We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...
MLOps Engineer
Tampa, FL · On-site
We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...
AI Data Engineer - Manager
$108.20K - $129.90K/yr
AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...
AI Data Engineer - Manager
$108.20K - $129.90K/yr
AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...
AI Data Engineer Senior Consultant
Tampa, FL · On-site +1
$100.20K - $136.10K/yr
Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...
AI Data Engineer Senior Consultant
Tampa, FL · On-site +1
$100.20K - $136.10K/yr
Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...
Machine Learning Engineer Intern information
See Brandon, FL salary details
$22.2K - $27.1K
5% of jobs
$28.7K is the 25th percentile. Wages below this are outliers.
$27.1K - $32K
59% of jobs
$32K - $37K
9% of jobs
$37.4K is the 75th percentile. Wages above this are outliers.
$37K - $41.9K
17% of jobs
$41.9K - $46.8K
4% of jobs
$46.8K - $51.8K
2% of jobs
$51.8K - $56.7K
3% of jobs
$56.7K - $61.7K
0% of jobs
$61.7K - $66.6K
0% of jobs
$66.6K - $71.5K
0% of jobs
$71.5K - $76.5K
0% of jobs
$22.2K
$37K
$76.5K
How much do machine learning engineer intern jobs pay per year?
As of May 29, 2026, the average yearly pay for machine learning engineer intern in Brandon, FL is $37,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,200.00 and $40,000.00 per year, depending on experience, location, and employer.
What is a Machine Learning Engineer Intern job?
A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.
What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?
To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.
What types of projects and tasks do Machine Learning Engineer Interns typically work on?
Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
More about Machine Learning Engineer Intern jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Brandon, FL? The most popular types of Machine Learning Engineer jobs in Brandon, FL are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Brandon, FL? For Machine Learning Engineer Intern jobs in Brandon, FL, the most frequently searched job titles are:
What cities near Brandon, FL are hiring for Machine Learning Engineer Intern jobs? Cities near Brandon, FL with the most Machine Learning Engineer Intern job openings:
$52.75 - $69.75/hr
Contractor
Posted 11 days ago
Job description
Company Description
Job Description
Position Details:
Job Title: Bigdata Engineer
Location: Tampa, FL
Duration: 12+ Months Contract to hire
Job Responsibilities:
Principal Responsibilities
• Design interfaces to the data warehouses/data storages and machine learning/Big Data
• applications using open source tools such as Scala, Java, Python, Perl and shell scripting.
• Design and create data pipelines to maintain stable dataflow to the machine learning models -
• both in batch mode and near real-time mode.
• Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data
• pipelines and processes fit within the production framework.
• Ensure that tools and environments adhere to strict security protocols.
• Deploy the machine learning model and serve its outputs as RESTful API calls.
• Understand the business needs in close collaborations with subject matter experts (SMEs)
• and Data Scientists to do efficient feature engineering for machine learning models.
• Maintain the code and libraries in code repository.
• Work with system administration team to proactively resolve issues/install tools and libraries
• on the AWS platform.
• Research and come up with architecture and solutions most appropriate for problems at hand.
• Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency,
• repeatability, and R&D.
• Lead by example regarding software best practices, including code style and architecture,
• documentation, source control, and testing.
• Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel
• approaches to solve challenging problems using Machine Learning, Big Data and Cloud
• technologies.
• Handle ADHOC requirements to create reports for the end users.
Required Skills
• Strong skills with Apache Spark (Spark SQL) and SCALA with at least 2+ years of experience.
• Understanding of AWS Big Data components and tools.
• Strong Java skills with experience in web services and web development is required.
• Hands on experience with model deployment.
• Hands on experience in application deployment on Docker and/or Kubernetes or other similar technology.
• Linux scripting is a plus.
• Fundamental understanding of AWS cloud components.
• 2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets
• 2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux
• Experience working in a data intensive role including the extraction of data (db/web/api/etc.), transformation and loading (ETL)
• Exposure with structured and/or unstructured data contents
• Experience with data cleansing/preparation on Hadoop/Apache Spark Ecosystem - MapReduce/Hive/HBase/Spark SQL
• Experience with distributed streaming tools like Apache KAFKA.
• Experience with multiple file formats (Parquet, Avro, OCR)
• Knowledge in AGILE development cycle.
• Efficient coding skills to enhance the performance/cost savings of the job running on AWS platform.
• Experience in building stable, scalable, and high-speed live streams of data and serving web platforms
• Enthusiastic self-starter with ability to work in a team environment.
• Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field
Nice to have:
• Strong Software development experience
• Machine Learning model deployment experience
• Ability to write custom Map/Reduce programs to clean/prepare complex data
• Familiarity with Streaming data processing - Experience with distributed real time computation system like Apache STORM/Apache Spark Streaming.
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Description
Position Details:
Job Title: Bigdata Engineer
Location: Tampa, FL
Duration: 12+ Months Contract to hire
Job Responsibilities:
Principal Responsibilities
• Design interfaces to the data warehouses/data storages and machine learning/Big Data
• applications using open source tools such as Scala, Java, Python, Perl and shell scripting.
• Design and create data pipelines to maintain stable dataflow to the machine learning models -
• both in batch mode and near real-time mode.
• Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data
• pipelines and processes fit within the production framework.
• Ensure that tools and environments adhere to strict security protocols.
• Deploy the machine learning model and serve its outputs as RESTful API calls.
• Understand the business needs in close collaborations with subject matter experts (SMEs)
• and Data Scientists to do efficient feature engineering for machine learning models.
• Maintain the code and libraries in code repository.
• Work with system administration team to proactively resolve issues/install tools and libraries
• on the AWS platform.
• Research and come up with architecture and solutions most appropriate for problems at hand.
• Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency,
• repeatability, and R&D.
• Lead by example regarding software best practices, including code style and architecture,
• documentation, source control, and testing.
• Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel
• approaches to solve challenging problems using Machine Learning, Big Data and Cloud
• technologies.
• Handle ADHOC requirements to create reports for the end users.
Required Skills
• Strong skills with Apache Spark (Spark SQL) and SCALA with at least 2+ years of experience.
• Understanding of AWS Big Data components and tools.
• Strong Java skills with experience in web services and web development is required.
• Hands on experience with model deployment.
• Hands on experience in application deployment on Docker and/or Kubernetes or other similar technology.
• Linux scripting is a plus.
• Fundamental understanding of AWS cloud components.
• 2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets
• 2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux
• Experience working in a data intensive role including the extraction of data (db/web/api/etc.), transformation and loading (ETL)
• Exposure with structured and/or unstructured data contents
• Experience with data cleansing/preparation on Hadoop/Apache Spark Ecosystem - MapReduce/Hive/HBase/Spark SQL
• Experience with distributed streaming tools like Apache KAFKA.
• Experience with multiple file formats (Parquet, Avro, OCR)
• Knowledge in AGILE development cycle.
• Efficient coding skills to enhance the performance/cost savings of the job running on AWS platform.
• Experience in building stable, scalable, and high-speed live streams of data and serving web platforms
• Enthusiastic self-starter with ability to work in a team environment.
• Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field
Nice to have:
• Strong Software development experience
• Machine Learning model deployment experience
• Ability to write custom Map/Reduce programs to clean/prepare complex data
• Familiarity with Streaming data processing - Experience with distributed real time computation system like Apache STORM/Apache Spark Streaming.
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.