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Remote Deep Learning Jobs in Lancaster, TX (NOW HIRING)

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI ... Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt Engineering

New

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

New

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

New

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

EnthuZiastic

Growth Hacker - Remote

Dallas, TX · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Arlington, TX · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

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All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Lancaster, TX

Remote Deep Learning information

See Lancaster, TX salary details

$10.4K

$79.5K

$132.7K

How much do remote deep learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote deep learning in Lancaster, TX is $79,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $131,800.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What job categories do people searching Remote Deep Learning jobs in Lancaster, TX look for? The top searched job categories for Remote Deep Learning jobs in Lancaster, TX are:
What cities near Lancaster, TX are hiring for Remote Deep Learning jobs? Cities near Lancaster, TX with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you

AI Lead Engineer (Remote)

Delan Associates, Inc

Dallas, TX • Remote

$104K - $138K/yr

Full-time

Posted yesterday

New

Job description

AI Lead Engineer

Dallas, TX (REMOTE)

15+ Years


Must-Have Skills

* Artificial Intelligence (AI) & Machine Learning (ML)

* Deep Learning

* Generative AI (GenAI)

* Large Language Models (LLMs)

* Prompt Engineering

* Retrieval-Augmented Generation (RAG)

* Embeddings & Vector Databases

* Fine-tuning LLMs

* Python

* TensorFlow

* PyTorch

* Scikit-learn

* Data Preprocessing & Feature Engineering

* Model Training, Validation & Evaluation

* Statistics & ML Algorithms

* MLOps

* CI/CD Pipelines

* Docker

* Kubernetes

* REST APIs & Microservices

* Cloud Platforms (Azure / AWS / GCP)

* AI Model Deployment & Productionization

* Security, Privacy & Responsible AI

* Problem Solving & Analytical Skills

* Agile/Scrum

Preferred (Good to Have):

* Retail domain experience

* Enterprise Transformation projects

* Model Governance

* Stakeholder Management

* Excellent Communication Skills