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Apprentice Machine Learning Testing Jobs in Florida

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

... 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 ...

Use electrical and electronic diagnostic toolsincluding multimeters, ammeters, continuity testers ... machinery, loud noise, and fumes. Basic Qualifications * At least 18 years of age by the ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... 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 • ...

Cloud Engineer

Pembroke Pines, FL · On-site

$52.50 - $70.25/hr

... machine learning models, and collaborating with teams to enhance data-intensive applications ... for testing procedures and workflows, contributing to the team's technical growth by sharing ...

Maintenance Tech Apprentice - Ocala, Fl

Ocala, FL · On-site

$15.75 - $20.50/hr

Accompany senior technicians during service calls to customer premises, learning proper procedures ... Use tools, meters, and testing equipment to support diagnostics and repairs. * Follow company and ...

Machine Learning : Implement learning algorithms, training pipelines, and model optimization for ... Testing & Validation : Create automated testing frameworks and validation systems for robot ...

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

Be Seen First

... testing frameworks. Highly Advantageous Capabilities * Exposure to foundational radio-frequency machine learning (RFML) or traditional digital signal processing. * Familiarity training Large Language ...

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Apprentice Machine Learning Testing information

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Florida? For Apprentice Machine Learning Testing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Florida look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Florida are:
What cities in Florida are hiring for Apprentice Machine Learning Testing jobs? Cities in Florida with the most Apprentice Machine Learning Testing job openings:
Bigdata Engineer

$52.75 - $69.75/hr

Contractor

Posted 11 days ago


Job 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.

Additional Information

All your information will be kept confidential according to EEO guidelines.