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Deep Learning Ai Jobs in Delaware (NOW HIRING)

Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep ... Interest in AI agentic systems, including areas such as prompt design, tool use, workflow ...

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects ... deep learning, reinforcement learning), and generative model architectures. * Expert in Large ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning models. * Collaborate with data scientists to understand model requirements and optimize infrastructure ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning models. * Collaborate with data scientists to understand model requirements and optimize infrastructure ...

Design and develop scalable AI platforms to support various machine learning and deep learning models. * Collaborate with data scientists to understand model requirements and optimize infrastructure ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

Our work centers on building vision and multimodal AI systems-including image understanding, visual ... Apply state-of-the-art machine learning methodologies - including deep learning architecture ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

Our work centers on building vision and multimodal AI systems-including image understanding, visual ... Apply state-of-the-art machine learning methodologies - including deep learning architecture ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Showing results 41-60

Deep Learning Ai information

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What are popular job titles related to Deep Learning Ai jobs in Delaware?

For Deep Learning Ai jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Deep Learning Ai jobs?

Cities in Delaware with the most Deep Learning Ai job openings:

Infographic showing various Deep Learning Ai job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Research Software Engineer, First State AI Institute

University of Delaware

Newark, DE • On-site

$200K/yr

Full-time

Re-posted 23 days ago


University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

593rd of 630 rated colleges and universities


Job description

Job Summary:
The University of Delaware is seeking a Research Software Engineer to contribute to the development and implementation of AI models and computational tools. This role involves collaborating with interdisciplinary teams to create innovative AI solutions and includes opportunities for teaching and professional development.
Responsibilities:
• Develop, optimize, and maintain software for AI research projects.
• Collaborate with researchers to implement state-of-the-art machine learning models.
• Work with large-scale datasets, designing efficient data processing pipelines.
• Support the deployment and scaling of AI models for real-world applications.
• Contribute to open-source AI projects and research publications.
• Stay up to date with the latest advancements in AI and machine learning.
• Be an advocate to maintain and improve computing infrastructure for code development
• Create comprehensive documentation of any software developed
• Complete user manuals for knowledge transfer, and ensure smooth handover with clear communication at the conclusion of the RSE software development
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3+ years of Python experience with ML libraries (TensorFlow, PyTorch, scikit-learn), including optimization and deployment in production environments.
• Strong grasp of AI/ML fundamentals including advanced concepts in model architectures, hyperparameter tuning, and real-world problem-solving
• Proficiency in software development best practices (version control, testing, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques.
• Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient and scalable model deployment.
• Skilled in working with medium-large scale multicore and heterogeneous (CPU + GPU) clusters.
• Excellent verbal and written communication skills.
Preferred:
• Master’s degree in a related field.
• Experience with deep learning model training, evaluation, and distributed computing.
• Contributions to AI research and open-source projects.
• Strong collaboration skills across scientific disciplines.
• Leadership or project management experience.
• Ability to design and teach AI modules or training sessions.
• Experience presenting research in publications, seminars, or conferences.
Company:
The University of Delaware is a private-public research university located in Newark, Delaware. UD is the largest university in Delaware Founded in 1743, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What University Of Delaware employees say

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Benefits

Hours and flexibility

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