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Machine Learning Engineer Jobs in Conway, AR (NOW HIRING)

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

AI Engineer

Little Rock, AR

$109K - $131K/yr

Utilize a variety of programming languages and tools to build and deploy machine learning models. * Support both batch and real-time inference pipelines in collaboration with Data Science and Applied ...

Software Engineer AI/ML

Little Rock, AR

$109K - $131K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ...

The Software Engineer is responsible for reviewing current software, processing, analyzing and ... Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

DevOps Engineer

Little Rock, AR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Software Engineer

Little Rock, AR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Frontend Engineer

Little Rock, AR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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Showing results 1-20

Machine Learning Engineer information

See Conway, AR salary details

$27.6K

$112.9K

$169.7K

How much do machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for machine learning engineer in Conway, AR is $112,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $135,900.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Conway, AR? The most popular types of Machine Learning Engineer jobs in Conway, AR are:
What cities near Conway, AR are hiring for Machine Learning Engineer jobs? Cities near Conway, AR with the most Machine Learning Engineer job openings:
AI Agent ML Engineer

$165K - $190K/yr

Other

Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Bausch & Lomb rating

8.4

Company rating: 8.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

46th of 518 rated manufacturers


Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the worldfrom the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs departments. This hybrid role blends hands-on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

Key Responsibilities

  • Architect and develop multi-agent systems for process automation and intelligent decision-making.

  • Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar.

  • Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.

  • Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.

  • Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.

  • Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.

  • Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

  • Optimize models for scalability, latency, and accuracy in production environments.

  • Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.

  • Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.

Qualifications

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.

  • 3+ years experience in AI/ML engineering, agent development, process engineering, or related roles.

  • Proven track record of building and deploying production-grade AI agents and ML models.

  • Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.

  • Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools.

  • Experience in business process analysis, process mapping, and workflow automation.

  • Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).

  • Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.

  • Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.

  • Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.

Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.

To learn more please read Bausch + Lomb's Job Offer Fraud Statement (https://performancemanager.successfactors.eu/doc/custom/BauschLomb/Bausch_job_posting_statement.docx) .

Our Benefit Programs:Employee Benefits: Bausch + Lomb (https://www.bausch.com/careers/benefits/)

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

#LI-KF


What Bausch & Lomb employees say

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About Bausch & Lomb

Sourced by ZipRecruiter

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world--from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our nearly 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 12,500 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

Year founded

1853