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Junior Full Stack Machine Learning Engineer Jobs in Florida

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with ... Provide mentorship to junior ML engineers. A self-starter with excellent oral and written ...

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

Prophecy Technologies

Full-Stack AI Engineer

Tampa, FL · On-site

Job Summary We are seeking a versatile Full-Stack AI Engineer with strong experience in backend and ... Use Azure Machine Learning for model orchestration and deployment. * Integrate LangChain and ...

Deloitte

Lead Full Stack Engineer

Miami, FL

Experience with artificial intelligence, machine learning, or generative AI solutions * Experience ... As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a ...

Deloitte

Lead Full Stack Engineer

Tampa, FL

Experience with artificial intelligence, machine learning, or generative AI solutions * Experience ... As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a ...

Deloitte

Lead Full Stack Engineer

Jacksonville, FL · On-site

Experience with artificial intelligence, machine learning, or generative AI solutions * Experience ... As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a ...

Deloitte

Lead Full Stack Engineer

Tallahassee, FL

Experience with artificial intelligence, machine learning, or generative AI solutions * Experience ... As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a ...

Prophecy Technologies

Full-Stack AI Engineer

Tampa, FL · On-site

Job Summary We are seeking a versatile Full-Stack AI Engineer with strong expertise in both backend ... Develop and deploy machine learning models using Scikit-learn and TensorFlow * Orchestrate ML ...

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Junior Full Stack Machine Learning Engineer information

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Florida? The most popular types of Full Stack Machine Learning Engineer jobs in Florida are:
What are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Florida? For Junior Full Stack Machine Learning Engineer jobs in Florida, the most frequently searched job titles are:
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Junior Full Stack Machine Learning Engineer jobs near you
Junior Machine Learning Engineer

Junior Machine Learning Engineer

ENSCO, Inc.

Cocoa Beach, FL • On-site

Other

Posted 9 days ago

Job description

ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 2 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
        The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen
 

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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