PyTorch, TensorFlow/Keras, scikit-learn, MXNet). Experience working with large data sets and ... techniques. DevOps experience involving CI/CD pipelines to build and deploy. Experience working ...
PyTorch, TensorFlow/Keras, scikit-learn, MXNet). Experience working with large data sets and ... techniques. DevOps experience involving CI/CD pipelines to build and deploy. Experience working ...
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 ...
MLOps Engineer
Tampa, FL · On-site
Responsibilities : • Lead hands-on implementation of automation-first DevOps and MLOps practices ... TensorFlow, PyTorch or Scikit-learn • Experience with CI/CD processes and automation • ...
MLOps Engineer
Tampa, FL · On-site
Responsibilities : • Lead hands-on implementation of automation-first DevOps and MLOps practices ... TensorFlow, PyTorch or Scikit-learn • Experience with CI/CD processes and automation • ...
AI/ML Software Engineer
Sarasota, FL · On-site
Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn ... Solid programming background with exposure to statistical and signal analysis libraries. * Mastery ...
AI/ML Software Engineer
Sarasota, FL · On-site
Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn ... Solid programming background with exposure to statistical and signal analysis libraries. * Mastery ...
AI/ML Software Engineer
Sarasota, FL · On-site
Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn ... Solid programming background with exposure to statistical and signal analysis libraries. * Mastery ...
AI/ML Software Engineer
Sarasota, FL · On-site
Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn ... Solid programming background with exposure to statistical and signal analysis libraries. * Mastery ...
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 ...
AI/ML Software Engineer
Sarasota, FL · On-site
Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn ... Solid programming background with exposure to statistical and signal analysis libraries. * Mastery ...
Quick apply
AI/ML Software Engineer
Sarasota, FL · On-site
Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn ... Solid programming background with exposure to statistical and signal analysis libraries. * Mastery ...
Cleared AI/ML Engineer
Tampa, FL · On-site
... TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including ... Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field ...
Cleared AI/ML Engineer
Tampa, FL · On-site
... TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including ... Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field ...
Data Scientist
Tampa, FL · On-site
Perform data preprocessing, feature engineering, and exploratory data analysis. * Work ... Familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Excellent problem ...
New
Data Scientist
Tampa, FL · On-site
Perform data preprocessing, feature engineering, and exploratory data analysis. * Work ... Familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Excellent problem ...
New
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 ...
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 ...
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 ...
... DevOps practices • Experience implementing machine learning models or AI solutions in production environments • Proficiency with ML frameworks and libraries (e.g., scikit-learn, PyTorch ...
... DevOps practices • Experience implementing machine learning models or AI solutions in production environments • Proficiency with ML frameworks and libraries (e.g., scikit-learn, PyTorch ...
Pytorch Developer information
What is a PyTorch Developer?
A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.
What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?
To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.
What is the difference between Pytorch Developer vs Machine Learning Engineer?
| Aspect | Pytorch Developer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS, experience with PyTorch | Bachelor's or higher in CS, data science, or related field, with ML experience |
| Work Environment | Research labs, AI startups, tech companies focusing on deep learning | Tech companies, finance, healthcare, often involving deployment and scaling ML models |
| Industry Usage | Primarily in AI research and development teams | Across industries implementing ML solutions in production |
While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.
What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?
Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in Florida? For Pytorch Developer jobs in Florida, the most frequently searched job titles are:
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What cities in Florida are hiring for Pytorch Developer jobs? Cities in Florida with the most Pytorch Developer job openings:
Job description
ENSCO, Inc. is seeking a 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 3 years related industry experience in machine learning, data science, and analytics.
Proven track record of successful data science and algorithm implementation.
Provide mentorship to junior ML engineers.
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
About ENSCO
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Springfield, VA, US
Year founded
1969