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Ml Inference Jobs in Forney, TX (NOW HIRING)

Vizient, Inc.

Senior Software Engineer

Irving, TX · On-site

$102K - $179K/yr

Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems while collaborating with AI/ML engineers to productionize model serving, inference pipelines, and ...

TEKsystems

QA Engineer

Dallas, TX · On-site +1

$75 - $85/hr

Skills Required Core Skills & Experience • Hands-on experience testing AI/ML and GenAI systems, including evaluation of training and inference, drift, bias, and explainability. • Strong test ...

Virtusa

Gen AI developer

Irving, TX

$116K - $157K/yr

... ML systemsStrong expertise in Python and data libraries (NumPy, Pandas, etc.) Proven experience ... training, inference, and monitoring Strong understanding of system architecture, distributed ...

Toyota

Security Dev Ops/ Platform Engineer, Lead

Plano, TX · On-site

$50.50 - $69.25/hr

Support ML training infrastructure (training jobs, model endpoints, model registry) * Build and maintain model serving infrastructure for production inference workloads * Ensure all processing occurs ...

Elevance Health

Gen AI Engineer

Grand Prairie, TX · Hybrid

... for inference optimization; RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE, Azure AKS) knowledge. * Containerization strategies for ML workloads;

Stanley David and Associates

OpenShift Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Seeking an experienced OpenShift Engineer with expertise in deploying and managing AI/ML ... and inference environments. • Manage GPU-based infrastructure using NVIDIA GPU Operator. • ...

NTT DATA Services

AI Architect

Dallas, TX

Seamlessly embed AI/ML features and multi-agent workflows into legacy applications, ERPs, and cloud ... Architect solutions for both batch and real-time inference workloads. * RAG (Retrieval-Augmented ...

NTT DATA Services

AI Architect

Dallas, TX · On-site

Seamlessly embed AI/ML features and multi-agent workflows into legacy applications, ERPs, and cloud ... Architect solutions for both batch and real-time inference workloads. * RAG (Retrieval-Augmented ...

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All JobsMl Inference JobsMl Inference Jobs in Forney, TX

Ml Inference information

See Forney, TX salary details

$33.8K

$110.6K

$177K

How much do ml inference jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ml inference in Forney, TX is $110,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $122,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often involving advanced skills in deep learning, data modeling, and programming with tools like Python and TensorFlow. These positions usually require extensive experience, specialized knowledge, and may include leadership responsibilities or strategic decision-making.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on product development.

Which 3 jobs will survive AI?

Jobs involving Ml Inference, such as data scientists, machine learning engineers, and AI system architects, are likely to persist as they require specialized expertise in developing, deploying, and maintaining AI models. These roles demand critical thinking, domain knowledge, and skills in programming and data analysis that are less easily automated. Continuous learning and staying updated with AI tools and frameworks are essential for these professions to remain relevant.

What are some common challenges faced by ML Inference Engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models and systems. While AI automation tools can assist with certain tasks, MLEs are essential for building, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Their expertise in data handling, model deployment, and system integration remains critical in AI development environments.

What are the key skills and qualifications needed to thrive in ML Inference, and why are they important?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.
What job categories do people searching Ml Inference jobs in Forney, TX look for? The top searched job categories for Ml Inference jobs in Forney, TX are:
What cities near Forney, TX are hiring for Ml Inference jobs? Cities near Forney, TX with the most Ml Inference job openings:
Ml Inference jobs near you
Senior Software Engineer

Senior Software Engineer

Vizient, Inc.

Irving, TX • On-site

$102K - $179K/yr

Full-time

Posted 15 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will design and build scalable backend systems, cloud infrastructure, and platform capabilities that power AI/ML products and applications. You will partner closely with AI/ML engineers, data scientists, and cross-functional teams to productionize LLM applications, RAG pipelines, and agentic AI workflows. You will leverage modern cloud technologies, infrastructure-as-code practices, and AI-assisted development tools to deliver reliable, secure, and maintainable solutions that accelerate innovation across the AI/ML team while helping establish engineering standards, reusable platform patterns, and operational best practices.
Responsibilities:
  • Design, develop, and maintain backend services, APIs, and platform components that support AI/ML applications and distributed systems.
  • Build scalable cloud infrastructure using Pulumi and modern infrastructure-as-code practices while developing CI/CD pipelines, deployment workflows, and containerized cloud environments.
  • Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems while collaborating with AI/ML engineers to productionize model serving, inference pipelines, and data workflows.
  • Enhance observability through monitoring, logging, tracing, alerting, and incident management practices to improve operational reliability and system performance.
  • Implement engineering standards for testing, code quality, security, maintainability, scalability, latency optimization, and cost efficiency.
  • Define reusable platform patterns, developer tooling, and engineering workflows that improve developer productivity and operational consistency across the AI/ML team.
  • Evaluate emerging AI engineering trends, AI-assisted development tools, and modern software practices to drive continuous improvement and innovation.
  • Partner with product, security, data, and platform teams to deliver production-ready AI solutions while contributing to architectural discussions and long-term platform strategy.
  • Troubleshoot complex production issues, perform root cause analysis, and drive remediation efforts to improve system stability and reliability.
  • Mentor engineers through technical collaboration, code reviews, knowledge sharing, and engineering best practices.

Qualifications:
  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • Strong Python development experience with expertise building production backend services, APIs, distributed systems, and cloud-based applications required.
  • Hands-on experience with Pulumi, Terraform, or other infrastructure-as-code tools along with cloud platforms such as AWS, Azure, or GCP required.
  • Experience with Docker, CI/CD pipelines, infrastructure automation, container orchestration, Kubernetes, serverless architectures, and cloud deployment practices preferred.
  • Knowledge of observability tools, monitoring, logging, tracing, alerting frameworks, and production support practices.
  • Familiarity with ML/AI systems, model serving, LLM applications, inference pipelines, RAG workflows, data pipelines, or related AI platform technologies.
  • Experience with Databricks, Azure AI Foundry, or similar AI/ML platform technologies preferred.
  • Strong analytical, troubleshooting, problem-solving, verbal communication, and written communication skills with the ability to collaborate across technical and business teams.
  • Ability to operate effectively in fast-paced, evolving environments with a high level of ownership, accountability, and adaptability.

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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