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Junior Full Stack Machine Learning Engineer Jobs in Florida

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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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 cities in Florida are hiring for Junior Full Stack Machine Learning Engineer jobs? Cities in Florida with the most Junior Full Stack Machine Learning Engineer job openings:

Future Opening: Machine Learning Engineer - Mid

Silverthorne Advisory Group

Tampa, FL • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Silverthorne Advisory Group is seeking a Mid Machine Learning Engineer to support DoD program offices. The role involves training, testing, deploying, and maintaining machine learning models while collaborating with cross-functional teams to deliver solutions.
Responsibilities:
• Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving.
• Optimize machine learning algorithms.
• Contribute to building an infrastructure that facilitates end-to-end ML workflows.
• Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch.
• Explore new technologies like quantum engineering for advanced model development.
• Collaborate with cross-functional teams to enhance data processing pipelines.
• Communicate and coordinate with teams to accomplish objectives and deliver excellence.
Qualifications:
Required:
• Top Secret clearance required (can be sponsored).
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• 4+ years with natural language processing (NLP) topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, or application of deep learning to NLP.
• Strong background in a modern programming language, such as Python or Java, and associated numerical and analytics packages (NUMPY, PANDAS); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
• Ability to quickly grasp technical concepts and collaborate with multiple functional groups.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.
Preferred:
• Recent DoD or IC-related experience.
• Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar).
• Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
• Experience in large scale AI and ML infrastructure, AWS ML tools such as SageMaker.
• Experience with data discovery techniques and tools such as AWS Glue Crawler, Apache Atlas, Datahub, or Collibra.
• Experience in working in an agile development environment.
Company:
Silverthorne Advisory Group is a data, cloud engineering, management and IT consulting firm. Founded in 2016, the company is headquartered in Arlington, VA, US, , with a team of 11-50 employees. The company is currently Early Stage.