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Deep Learning Engineer Jobs in Arkansas (NOW HIRING)

Senior Machine Learning Engineer

Little Rock, AR ยท On-site

$100K - $137K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our ... GEPA) * Knowledge of and practical experience working on Deep Learning libraries (like Torch ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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

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Deep Learning Engineer information

See Arkansas salary details

$31.4K

$95.8K

$158.4K

How much do deep learning engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for deep learning engineer in Arkansas is $95,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $125,300.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Arkansas? For Deep Learning Engineer jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Arkansas look for? The top searched job categories for Deep Learning Engineer jobs in Arkansas are:
Infographic showing various Deep Learning Engineer job openings in Arkansas as of June 2026, with employment types broken down into 9% Internship, 73% Full Time, and 18% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $95,809 per year, or $46.1 per hour.
Entry-Level Deep Learning Engineer

Entry-Level Deep Learning Engineer

SynergisticIT

Fort Smith, AR โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

SYNERGISTICIT for the past 15 years we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
Candidates can benefit from skill enhancement if they fall into the below categories.
Candidates who Lack Experience or are freshers with No actual on Job experience with projects with clients Have had a break in careers Lack Technical Competency or skills being demanded by clients Different visa candidates (Like OPT/H4EAD/L2EAD ) who want to get employed and settle down in the USA please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
REQUIRED SKILLS For Java /Software Programmers
โ€ข Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
โ€ข Highly motivated, self-learner, and technically inquisitive
โ€ข Experience in programming language Java and understanding of the software development life cycle
โ€ข Project work on the skills
โ€ข Knowledge of Core Java , javascript , C++ or software programming
โ€ข Spring boot, AWS, Microservices, Docker, Jenkins and REST API's experience
โ€ข Excellent written and verbal communication skills
For data Science/Data Analyst Machine learning
REQUIRED SKILLS
โ€ข Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
โ€ข Project work on the technologies needed
โ€ข Highly motivated, self-learner, and technically inquisitive
โ€ข Experience in programming language Java and understanding of the software development life cycle
โ€ข Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data visualization tools
โ€ข Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis
Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates
please only apply to the posting
No phone calls please. Shortlisted candidates would be reached out.