ZipRecruiter

Log In

1

Machine Learning Architect Jobs in Texas (NOW HIRING)

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ... Support infrastructure engineering, security engineering, and architecture * Willing to learn and ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ... Support infrastructure engineering, security engineering, and architecture * Willing to learn and ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ... Support infrastructure engineering, security engineering, and architecture * Willing to learn and ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Guide teams through architecture decisions that support responsible adoption and long-term ...

Intuit

Staff Machine Learning Engineer

Plano, TX · On-site

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI ... architecture on software performance (e.g., I/O and memory tuning). * Software engineering ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside ... architecture on software performance (e.g., I/O and memory tuning). * Software engineering ...

next page

Showing results 1-20

All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Texas

Machine Learning Architect information

See Texas salary details

$43.3K

$120K

$187.7K

How much do machine learning architect jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning architect in Texas is $119,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

What does a Machine Learning Architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

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

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What are the most commonly searched types of Machine Learning Architect jobs in Texas? The most popular types of Machine Learning Architect jobs in Texas are:
What are popular job titles related to Machine Learning Architect jobs in Texas? For Machine Learning Architect jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Architect jobs in Texas look for? The top searched job categories for Machine Learning Architect jobs in Texas are:
What cities in Texas are hiring for Machine Learning Architect jobs? Cities in Texas with the most Machine Learning Architect job openings:
Machine Learning Architect jobs near you

Machine Learning Operations Engineer II

CLA (CliftonLarsonAllen)

Fort Worth, TX • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
CLA is a top 10 national professional services firm dedicated to creating opportunities for clients, people, and communities. They are seeking a motivated Machine Learning Operations Engineer to assist in the design and development of MLOps infrastructure, collaborating with data scientists and engineers to ensure efficient deployment and monitoring of machine learning models.
Responsibilities:
• Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.
• Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.
• Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.
• Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.
• Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.
• Support maintenance of documentation for MLOps processes and systems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
• Ensure compliance with data security and privacy regulations.
• Stay up to date with industry trends and advancements in machine learning and MLOps.
Qualifications:
Required:
• 2+ years' experience as a Data/ML Engineer
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
• Basic understanding of SQL and experience with ETL pipeline design and maintenance
• Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.
• Proficiency in programming languages such as Python
• Knowledge of data pipeline architecture and data transformation
• Knowledge of machine learning model deployment and management
• Familiarity with performance monitoring and optimization techniques
• Basic understanding of machine learning and DevOps principles
Company:
CLA exists to create opportunities for our clients, our people, and our communities through industry-focused wealth advisory, outsourcing, audit, tax, and consulting services. Founded in 1998, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Apply