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Remote Deep Learning Engineer Jobs in Midlothian, TX

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

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework ...

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 ...

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 ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

  • Medical

  • Dental

  • Vision

  • PTO

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

  • Medical

  • Dental

  • Vision

  • PTO

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Varsity Tutors

Machine Learning Tutor

Fort Worth, TX · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Dallas, TX · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Carrollton, TX · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Irving, TX · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Grand Prairie, TX · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Arlington, TX · Remote

$18 - $40/hr

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

Waabi

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Cotality

Principal Machine Learning Scientist

Dallas, TX · Remote

  • Medical

  • Life

  • Retirement

  • PTO

Performs data analysis, feature engineering and model development using a variety of analytic ... Patents and publications in data science field a plus #LI-Remote Annual Pay Range: 134,400 - 190 ...

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All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Midlothian, TX

Remote Deep Learning Engineer information

See Midlothian, TX salary details

$10.3K

$78.5K

$131K

How much do remote deep learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote deep learning engineer in Midlothian, TX is $78,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $130,100.00 per year, depending on experience, location, and employer.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

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

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

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

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What job categories do people searching Remote Deep Learning Engineer jobs in Midlothian, TX look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Midlothian, TX are:

What cities near Midlothian, TX are hiring for Remote Deep Learning Engineer jobs?

Cities near Midlothian, TX with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you

ML Engineer with Snowflake exp | Remote | USC Only.

Xlysi LLC

Dallas, TX • On-site, Remote

$113K - $136K/yr

Full-time

Posted 3 days ago

New

Job description

Please mention your LinkedIn URL in the resume. It is mandatory.
Job Purpose
The Machine Learning Engineer designs, implements, configures, and maintains advanced analytics environments to solve complex business challenges. This role supports the development of strategies and architectural designs for implementing Advanced Analytics, Big Data, Machine Learning, Natural Language Processing, Generative and Agentic AI solutions, while managing AI and MLOps practices.
Job description
•Architect and build scalable ML pipelines using Databricks (PySpark, MLflow) and Snowflake (Snowpark, Streamlit, Cortex AI)
•Design and implement RAG and LLM-based solutions for enterprise data intelligence and automation
•Develop supervised (classification, regression) and unsupervised ML models for diverse business use cases
•Lead MLOps implementation including model versioning, CI/CD, automated testing, and monitoring (MLflow, Azure DevOps)
•Deploy and scale NLP/ML models into production with robust CI/CD pipelines and cross-team collaboration
•Build and optimize data pipelines for structured and unstructured data (Azure Data Factory, PySpark, SnowSQL)
•Tune Databricks and Snowflake environments for performance and scalability of AI/ML workloads
•Provide technical leadership and mentorship on ML best practices, LLM development, and cloud-native workflows
•Drive ML architecture, evaluate emerging technologies, and align solutions with enterprise goals
•Define development standards, collaborate with stakeholders, and architect enterprise-wide advanced analytics and data platforms
Skills Needed
•Expertise in Snowflake architecture, performance tuning, and SQL optimization.
•Experience with ETL/ELT tools (e.g., Azure Data Factory, Coalesce) and building scalable data pipelines.
•Experience with LLM development (e.g., RAG, document summarization, chatbot integration using LangChain or LlamaIndex).
•Strong understanding of data warehousing, dimensional modeling, and cloud platforms (Azure, AWS, GCP).
•Proficiency in Python, SnowSQL, and automation using Snowflake's API and Snowpark.
•Knowledge of BI tools (e.g., Power BI, Tableau, SSRS) and ML integration using Snowpark, Azure Machine Learning, Databricks, and Snowflake Streamlit.
•Proficiency in MLOps, including MLflow, Azure DevOps, model monitoring, and alerting.
•Familiarity with CI/CD pipelines and version control using Git.
•Strong background in data science, machine learning, deep learning, and advanced statistical techniques.
•Deep understanding of ML system design and industry-standard integration patterns for production AI.
•Excellent written and verbal communication skills.
•Experience in Deep Learning Libraries, such as tensorflow or pytorch is perferred.
•Health care industry experience is a big plus.
HR
Xlysi LLC, Expert Portal Solutions
251 Milwaukee Ave, Buffalo grove, IL 60089
Web: http://www.xlysi.com
E-mail: hr@xlysi.com
Our training portal registration:
http://xlysi.catsone.com/careers/index.php?m=portal&a=apply&jobOrderID=345179&portalID=2106
Xlysi logo

About Xlysi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Princeton Junction, NJ, US

Year founded

2006

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