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Ai Algorithm Engineer Jobs in Texas (NOW HIRING)

AI/Client Engineer Further requirements and responsibilities are as follows: * Design Enterprise ... Advance existing Client model frameworks to implement algorithms and associated tools. * Provides ...

Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. * KPI Engineering: Define the Key Performance Indicators (KPIs) and target ...

Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. * KPI Engineering: Define the Key Performance Indicators (KPIs) and target ...

... ethical considerations, specifically auditing for algorithmic bias and ensuring ... responsible AI engineering. Required Qualifications: * Bachelor's degree in Computer Science ...

Lead AI/ML Engineer

Irving, TX

$98K - $129K/yr

About the job Lead AI/ML Engineer Position Summary: As a Lead ML/AI Engineer, you will drive the ... Design, implement, and optimize machine learning algorithms and models. Stay abreast of the latest ...

Conduct data analytics and statistical analysis, develop algorithms and automation scripts. * Work with AMD AI engineering team to ensure seamless AI development and integration. * Use AI analysis to ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Optimize and fine-tune existing algorithms to improve computational and execution efficiency. * Collaborate with software engineering teams to integrate AI/ML components seamlessly into core ...

AI Developer

Mckinney, TX · On-site

$100K - $130K/yr

... Engineering, Agentic AI • Knowledge of advanced statistical/machine learning techniques ... Algorithms, Concepts and Experience in the Applications • Data Processing: Hadoop, Spark, Kafka ...

Senior AI/ML Engineer, epocrates

Austin, TX

$103K - $142K/yr

The Senior AI/ML Engineer, epocrates, will help design and deliver AI and machine learning ... Researchand prototype new AI/ML algorithms and techniques to support innovation and product ...

... algorithms to understand vulnerabilities, strengths, and weaknesses Rapidly develop prototypes to experiment and evaluate feasibility Standardize, optimize and scale products in production ...

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI ... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ...

... and AI algorithms within existing Mobile Apps. * Contribute to the design and development of AI ... engineering strategies for LLMs * Collaborate with cross-functional teams to understand project ...

Senior AI/ML Engineer, epocrates

Austin, TX · On-site

$103K - $142K/yr

The Senior AI/ML Engineer, epocrates, will help design and deliver AI and machine learning ... Research and prototype new AI/ML algorithms and techniques to support innovation and product ...

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Ai Algorithm Engineer information

How much do AI automation engineers make?

AI automation engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to have higher salaries.

What are some common challenges AI Algorithm Engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What does an AI algorithm engineer do?

An AI algorithm engineer designs, develops, and optimizes algorithms that enable machines to perform tasks such as learning, reasoning, and decision-making. They work with machine learning models, data processing, and programming languages like Python or C++, often using tools like TensorFlow or PyTorch, to create effective AI solutions. Strong analytical skills and knowledge of data structures are essential for this role.

What engineers make $500,000?

Senior AI algorithm engineers with extensive experience, advanced skills in machine learning, deep learning, and data science, and often working in high-demand industries or at leading tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role such as an AI research director, chief AI officer, or senior machine learning executive, often in large tech companies or financial institutions. These positions usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and may include leadership responsibilities and strategic decision-making.

What are AI Algorithm Engineers?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Texas? For Ai Algorithm Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Ai Algorithm Engineer jobs? Cities in Texas with the most Ai Algorithm Engineer job openings:
Infographic showing various Ai Algorithm Engineer job openings in Texas as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
AI/ML Engineer

Other

Posted 9 days ago


Job description

AI/Client Engineer

Further requirements and responsibilities are as follows:

  • Design Enterprise Machine Learning platforms that are capable of running predictive models.
  • Document Machine Learning processes and keep abreast of Developments in Machine Learning.
  • Establish standards, guidance and best practices for AI/Client Platform.
  • Establish the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability.
  • Advance existing Client model frameworks to implement algorithms and associated tools.
  • Provides technical leadership, guidance and direction to other team members.
  • Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders.
  • Solving complex problems with datasets and optimize existing Client libraries and frameworks.
  • Maintain constructive relationships within and outside the team.
  • Proven experience as a Machine Learning Engineer or similar role.
  • Strong knowledge of Data Science, Data structures, data modelling and software architecture.
  • Preferred experience, education, or training should include:
    • Minimum of 3 years' experience in AI/Client Platforms.
    • Experience in the Design, Implementation, and Support of Distributed and Big Data Analytics Platforms
    • Master's Degree in a technical discipline or equivalent work experience.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998