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Ai Ml Software Engineer Jobs in Spring, TX (NOW HIRING)

Scalence L.L.C.

AI ML Software Engineer

Houston, TX · On-site

C. is a company focused on AI and machine learning solutions, and they are seeking an AI ML Software Engineer. The role involves designing, developing, and deploying AI/ML solutions while ...

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Principal AI/ML Software Engineer Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA Workplace Type: Remote Req Id: 2909 Responsibilities Position Overview We are seeking a motivated AI ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI ... Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI ... Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI ... Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI ... Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this ...

Amsys Innovative Solutions

AI Engineer

Houston, TX · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 3-5 years of experience in Software Engineering, Cloud Engineering, or AI/ML. * Strong Python development and API ...

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All JobsAi Ml Software Engineer JobsAi Ml Software Engineer Jobs in Spring, TX

Ai Ml Software Engineer information

See Spring, TX salary details

$56.5K

$131.3K

$182.9K

How much do ai ml software engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for ai ml software engineer in Spring, TX is $131,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $154,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior AI/ML software engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What are some common challenges AI/ML Software Engineers face when deploying machine learning models to production?

AI/ML Software Engineers often encounter challenges such as ensuring model scalability, managing data pipelines, and maintaining model performance over time. Transitioning from prototype to production requires close collaboration with DevOps and data engineering teams to integrate models into existing systems. Additionally, monitoring models for drift and retraining them with new data is crucial to ensure they continue delivering accurate results. Addressing these challenges effectively requires solid software engineering practices and a proactive approach to cross-functional teamwork.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as a senior AI/ML engineer or research scientist with extensive experience, advanced skills in machine learning frameworks, and often leadership responsibilities. Such roles usually require a strong educational background, specialized certifications, and may include bonuses or stock options that contribute to the total compensation. These positions are rare and generally found in large tech companies or innovative startups at the forefront of AI development.

Are AI ML engineers in demand?

AI ML engineers are in high demand due to the rapid growth of artificial intelligence and machine learning applications across industries. Companies seek professionals skilled in programming, data analysis, and frameworks like TensorFlow or PyTorch to develop and deploy AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers get paid?

AI ML software engineers typically earn between $80,000 and $150,000 annually, with salaries increasing for those with advanced skills, certifications, or experience in specialized tools like TensorFlow or PyTorch. Entry-level positions may start lower, while senior roles or those in high-demand industries can pay significantly more.

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

To thrive as an AI/ML Software Engineer, you need a strong foundation in computer science, mathematics (especially statistics and linear algebra), and proficiency in programming languages such as Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and familiarity with data management tools or certifications in AI/ML are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and explaining technical concepts. These skills and qualities are vital to successfully design, develop, and deploy intelligent systems that solve real-world problems.

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

AspectAi Ml Software EngineerData Scientist
Required SkillsProgramming, machine learning, software developmentStatistics, data analysis, programming
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsMachine Learning certifications, programming coursesData Science certifications, statistical courses
Industry UsageAI product development, software solutionsData analysis, predictive modeling

While both roles involve working with data and machine learning, Ai Ml Software Engineers focus on developing and deploying AI applications and software, whereas Data Scientists primarily analyze data to extract insights and build models. The roles often overlap but differ in their core focus and daily tasks.

What are AI/ML Software Engineers?

AI/ML Software Engineers are professionals who design, develop, and implement artificial intelligence (AI) and machine learning (ML) models and systems. They work with large datasets, build algorithms, and use programming languages such as Python or Java to create intelligent applications. Their responsibilities often include data preprocessing, model training, evaluation, and deployment. AI/ML Software Engineers collaborate with data scientists and other engineers to integrate machine learning capabilities into software products. They are essential in fields like healthcare, finance, and technology, where AI-driven solutions are increasingly important.
What job categories do people searching Ai Ml Software Engineer jobs in Spring, TX look for? The top searched job categories for Ai Ml Software Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Ml Software Engineer jobs? Cities near Spring, TX with the most Ai Ml Software Engineer job openings:
Ai Ml Software Engineer jobs near you
Infographic showing various Ai Ml Software Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $131,280 per year, or $63.1 per hour.

AI ML Software Engineer

Scalence L.L.C.

Houston, TX • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Scalence L.L.C. is a company focused on AI and machine learning solutions, and they are seeking an AI ML Software Engineer. The role involves designing, developing, and deploying AI/ML solutions while collaborating with cross-functional teams to meet business objectives.
Responsibilities:
• Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
• Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
• Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
• Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
• Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
• Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 6-9 years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
• Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
• Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
• Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
• Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs.
• Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
• Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
• A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.
Preferred:
• Familiarity with the financial services industries.
• Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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