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Software Engineer Ai Model Training Jobs in Arizona

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning. * Experience ...

Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Collaborate with data scientists, software engineers, and product ...

Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Collaborate with data scientists, software engineers, and product ...

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

... software implementation to enable the AI models to be useful and scalable. As an Associate, you ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Collaborate with data scientists, software engineers, and product ...

AI Engineer

Phoenix, AZ · On-site

$120 - $165/hr

Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. * Collaborate with data scientists, software engineers, and ...

New

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Senior AI Model Fine-Tuning Engineer A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it ...

Lead Gen AI Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

Skills** - 8+ years of software development experience with Python. - 3+ years of hands-on ... AI model deployment. - Experience with Databricks, Snowflake, or enterprise data platforms ...

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Senior AI Model Fine-Tuning Engineer A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it ...

Showing results 21-40

Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Arizona?

For Software Engineer Ai Model Training jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Arizona look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Arizona are:

What cities in Arizona are hiring for Software Engineer Ai Model Training jobs?

Cities in Arizona with the most Software Engineer Ai Model Training job openings:

Infographic showing various Software Engineer Ai Model Training job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Lead AI Software Engineer

Epiq

Phoenix, AZ • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

136th of 224 rated it services


Job description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a valuesdriven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale.

Job Description:

Epiq is seeking a highly skilledLead AI Software Engineerto join our Operations Engineering team. This role is ideal for candidates who are passionate about building applied AI systems-not just writing code, but designing intelligent solutions that drive automation, efficiency, and innovation across legal operations.

You'll work at the intersection of software engineering and AI, leveraging modern technologies such asGenAI,LLMs,MCP servers, andagentic frameworksto build scalable, production-ready solutions. This role will also champion modern development practices and utilizeAzure DevOpsfor agile delivery and ticketing.

Key Responsibilities

  • Design, develop, and deploy AI-driven features and intelligent agents for real-world use cases.

  • Integrate GenAI and LLMs into applications via APIs and microservices.

  • Collaborate with product owners, architects, and engineers to transition prototypes into scalable production systems.

  • Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic frameworks.

  • Engineer robust, reusable components and services with a focus on performance, scalability, and cost-efficiency.

  • Apply prompt engineering techniques to optimize model interactions and outcomes.

  • Ensure compliance, security, and ethical standards in all AI development.

  • Document processes, architectures, and best practices in Epiq's internal knowledge base.

  • Integrate external products with Epiq's proprietary solutions.

  • Stay current with AI advancements and recommend tools, frameworks, and methodologies.

Qualifications & Experience

  • Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning.

  • Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG).

  • Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages.

  • Familiarity with cloud platforms (Azure/AWS) and their AI services.

  • Experience with API development, microservices architecture, and CI/CD pipelines.

  • Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps.

  • Solid understanding of software engineering principles, data structures, and algorithms.

  • Excellent communication skills and ability to present technical concepts to non-technical stakeholders.

  • Bachelor's degree in Computer Science or related field (or equivalent experience).

#LI-KS1 #LI-Remote

The Compensation range for this role is 120,000 to 170,000 USD annually and may be eligible for an annual bonus.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer.

Your specific salary will be determined based on several factors:

  • Location-based market ratefor the role

  • Your abilitiesin relation to the job specification

  • Performanceduring screening and interview

  • Pay paritywith the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

  • Build trust-based partnerships

  • Nurture long-term relationships

  • Remove collaboration barriers

  • Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

  • Use storytelling to build buy-in

  • Align communication with organizational goals

  • Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals.

  • Use data to identify improvement opportunities

  • Make informed decisions

  • Align team goals with boarder strategy

  • Empower teams to manage their own goals

  • Translate vision into clear priorities

  • Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

  • Improve workflows for team efficiency

  • Use clear documentation and expectations

  • Resolve issues quickly using data and feedback

It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.


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