... tune deep learning algorithms for real-time performance. • Work closely with the software engineers and product teams to identify opportunities for leveraging data. • Collect, clean, and ...
... tune deep learning algorithms for real-time performance. • Work closely with the software engineers and product teams to identify opportunities for leveraging data. • Collect, clean, and ...
... tune deep learning algorithms for real-time performance. • Work closely with the software engineers and product teams to identify opportunities for leveraging data. • Collect, clean, and ...
... tune deep learning algorithms for real-time performance. • Work closely with the software engineers and product teams to identify opportunities for leveraging data. • Collect, clean, and ...
... tune deep learning algorithms for real-time performance. • Work closely with the software engineers and product teams to identify opportunities for leveraging data. • Collect, clean, and ...
... tune deep learning algorithms for real-time performance. • Work closely with the software engineers and product teams to identify opportunities for leveraging data. • Collect, clean, and ...
Engineer, Machine Learning
$157K - $185K/yr
This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work ...
New
Engineer, Machine Learning
$157K - $185K/yr
This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work ...
New
... tune deep learning algorithms for real-time performance. • Work closely with the software engineers and product teams to identify opportunities for leveraging data. • Collect, clean, and ...
... tune deep learning algorithms for real-time performance. • Work closely with the software engineers and product teams to identify opportunities for leveraging data. • Collect, clean, and ...
Optimize and fine-tune deep learning algorithms for real-time performance. * Work closely with the software engineers and product teams to identify opportunities for leveraging data. * Collect, clean ...
Optimize and fine-tune deep learning algorithms for real-time performance. * Work closely with the software engineers and product teams to identify opportunities for leveraging data. * Collect, clean ...
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... Work with technologies and concepts at the cutting edge of AI, including but not limited to: deep ...
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... Work with technologies and concepts at the cutting edge of AI, including but not limited to: deep ...
Optimize and fine-tune deep learning algorithms for real-time performance. * Work closely with the software engineers and product teams to identify opportunities for leveraging data. * Collect, clean ...
Optimize and fine-tune deep learning algorithms for real-time performance. * Work closely with the software engineers and product teams to identify opportunities for leveraging data. * Collect, clean ...
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...
Machine Learning Engineer
Chantilly, VA · On-site
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...
Machine Learning Engineer
Chantilly, VA · On-site
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...
Machine Learning Engineer
Tysons, VA · On-site
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...
Machine Learning Engineer
Tysons, VA · On-site
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...
Machine Learning Engineer
Reston, VA · On-site
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...
Machine Learning Engineer
Reston, VA · On-site
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...
Machine Learning Engineer
Washington, DC · On-site
$77.60 - $176/hr
R0241353 The Opportunity As an experienced AI and ML engineer, you know that machine learning is ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...
Machine Learning Engineer
Washington, DC · On-site
$77.60 - $176/hr
R0241353 The Opportunity As an experienced AI and ML engineer, you know that machine learning is ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...
If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no known solutions, EXP is the place to be! Currently, we are ...
If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no known solutions, EXP is the place to be! Currently, we are ...
Homes.com - Machine Learning Engineer
Arlington, VA · On-site
$100 - $130/hr
Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and familiarity with deep learning frameworks (PyTorch or TensorFlow) Preferred ...
Homes.com - Machine Learning Engineer
Arlington, VA · On-site
$100 - $130/hr
Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and familiarity with deep learning frameworks (PyTorch or TensorFlow) Preferred ...
Preferred : • Experience with natural language processing (NLP) • Knowledge of deep learning ... g., engineers, product managers) • Knowledge of edge computing and model optimization for ...
Preferred : • Experience with natural language processing (NLP) • Knowledge of deep learning ... g., engineers, product managers) • Knowledge of edge computing and model optimization for ...
Agentic AI Machine Learning Engineer
Washington, DC · On-site
$99K - $225K/yr
Experience with Large Language Models ( LLM ) , Deep Learning ( DL ) , and Reinforcement Learning ... Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and ...
Agentic AI Machine Learning Engineer
Washington, DC · On-site
$99K - $225K/yr
Experience with Large Language Models ( LLM ) , Deep Learning ( DL ) , and Reinforcement Learning ... Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and ...
Agentic AI Machine Learning Engineer
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL ... Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and ...
Agentic AI Machine Learning Engineer
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL ... Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and ...
Agentic AI Machine Learning Engineer
Annapolis Junction, MD · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL ... Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and ...
Agentic AI Machine Learning Engineer
Annapolis Junction, MD · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL ... Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and ...
Agentic AI Machine Learning Engineer
Alexandria, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL ... Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and ...
Agentic AI Machine Learning Engineer
Alexandria, VA · On-site
$99K - $225K/yr
Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL ... Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and ...
Deep Learning Developer information
What are the key skills and qualifications needed to thrive as a deep learning developer?
To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.
What is a deep learning developer?
Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.
What is the difference between Deep Learning Developer vs Machine Learning Engineer?
| Aspect | Deep Learning Developer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related; experience with neural networks | Bachelor's or Master's in CS, Data Science, or related; knowledge of algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on neural networks | Data-driven companies, software firms, industries applying machine learning |
| Industry Usage | Primarily in AI research, neural network development, deep learning projects | Broader application including predictive modeling, data analysis, and ML systems |
Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.
What are some common challenges deep learning developers face when deploying models to production environments?
Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.
What cities in Washington are hiring for Deep Learning Developer jobs? Cities in Washington with the most Deep Learning Developer job openings:
Full-time
Re-posted 8 hours ago
Job description
Job Summary:
CaseGuard is a software company that helps various agencies manage their media redaction needs. They are seeking a highly skilled Machine Learning Engineer specializing in Computer Vision to design, implement, and optimize vision-based AI solutions focused on image and video processing.
Responsibilities:
• Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
• Optimize and fine-tune deep learning algorithms for real-time performance.
• Work closely with the software engineers and product teams to identify opportunities for leveraging data.
• Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
• Evaluate and optimize machine learning models for accuracy, performance, and scalability.
• Deploy models into production environments and monitor their performance to ensure reliability.
• Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
• Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
• Document processes, models, and implementations to ensure reproducibility and scalability.
Qualifications:
Required:
• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
• Experience with data manipulation tools such as Pandas, NumPy, and SQL.
• Strong programming skills in Python and C++.
• Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
• Proficiency in working with image and video data, including preprocessing and augmentation techniques.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
• Strong communication skills and the ability to work collaboratively in a team environment.
Preferred:
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with version control systems such as Git.
• Understanding software engineering best practices, including code review, testing, and documentation.
• Experience with Large Language Models (LLMs) is a great plus.
• Experience with data annotation tools and processes.
Company:
CaseGuard is a management solutions company. Founded in , the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.
CaseGuard is a software company that helps various agencies manage their media redaction needs. They are seeking a highly skilled Machine Learning Engineer specializing in Computer Vision to design, implement, and optimize vision-based AI solutions focused on image and video processing.
Responsibilities:
• Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
• Optimize and fine-tune deep learning algorithms for real-time performance.
• Work closely with the software engineers and product teams to identify opportunities for leveraging data.
• Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
• Evaluate and optimize machine learning models for accuracy, performance, and scalability.
• Deploy models into production environments and monitor their performance to ensure reliability.
• Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
• Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
• Document processes, models, and implementations to ensure reproducibility and scalability.
Qualifications:
Required:
• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
• Experience with data manipulation tools such as Pandas, NumPy, and SQL.
• Strong programming skills in Python and C++.
• Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
• Proficiency in working with image and video data, including preprocessing and augmentation techniques.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
• Strong communication skills and the ability to work collaboratively in a team environment.
Preferred:
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with version control systems such as Git.
• Understanding software engineering best practices, including code review, testing, and documentation.
• Experience with Large Language Models (LLMs) is a great plus.
• Experience with data annotation tools and processes.
Company:
CaseGuard is a management solutions company. Founded in , the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About CaseGuard
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
Arlington, VA, US