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Entry Level Computer Vision Deep Learning Engineer Jobs in Callahan, FL

Varsity Tutors

Machine Learning Tutor

Jacksonville, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Pwc

CTIO-AI Engineer-Sr Associate

Jacksonville, FL

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

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Entry Level Computer Vision Deep Learning Engineer information

See Callahan, FL salary details

$43K

$107.8K

$122K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level computer vision deep learning engineer in Callahan, FL is $107,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $116,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.

What types of projects do entry-level Computer Vision Deep Learning Engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an Entry Level Computer Vision Deep Learning Engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.
What cities near Callahan, FL are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Callahan, FL with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 27 days ago

Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: /hr- /hr MAX
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Basking Ridge, NJ- 100% onsite
Duration: 6 months
skill id: 10772179
Agentic AI, Python, LangChain, Vector databases, RAG pipelines, API integration
Role Descriptions:
Design| develop| and implement machine learning and AI models for business applications.
Build and optimize deep learning| NLP| or computer vision models depending on project requirements.
Deploy models into production using APIs| microservices| or cloud platforms.
Work with large datasets to clean| preprocess| and engineer features.
Monitor and maintain model performance| retraining when necessary.
Collaborate with cross-functional teams including product managers and data engineers.
Research and apply the latest developments in AI and machine learning.
Ensure scalability| security| and reliability of AI solutions.
Required Skills-
Technical Skills-Strong programming skills in Python (preferred) or Java C Experience with machine learning frameworks such as Tensor Flow Torch Scikit-learn
Knowledge of deep learning| NLP| computer vision| or generative AI
Role Descriptions:
Key Responsibilities:
• AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.
• Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
• Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
• Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
• LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.
• Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments.
Required Technical Skills:
• Languages: Expert-level Python (strong hands-on coding) and advanced SQL.
• Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
• Databases: ElasticSearch, NoSQL, and Neo4j.
• AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.
• Backend: Proven experience with FastAPI or Flask for production APIs.
• Web: Familiarity with React and Node.js for full-stack AI integration.
Qualifications:
• Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.
• Proven track record of deploying LLM-based applications to production.
• Strong understanding of vector embeddings, semantic search, and RAG architectures.
• Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps)., Project Code :

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