... ML inference, data pipelines, and platform services. • Establish and scale engineering best practices, standards, and frameworks across teams. • Ensure platform reliability, performance ...
... ML inference, data pipelines, and platform services. • Establish and scale engineering best practices, standards, and frameworks across teams. • Ensure platform reliability, performance ...
Evaluate and adopt emerging tools in the modern data and ML stack Data Engineering Development ... inference serving * Contribute to MLOps practices including model versioning and monitoring ...
Evaluate and adopt emerging tools in the modern data and ML stack Data Engineering Development ... inference serving * Contribute to MLOps practices including model versioning and monitoring ...
Senior Data Scientist
Saint Louis, MO · On-site
Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions. * Collaborate with product, business, and engineering teams to translate ...
Senior Data Scientist
Saint Louis, MO · On-site
Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions. * Collaborate with product, business, and engineering teams to translate ...
Senior Data Scientist
Saint Louis, MO · On-site
Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions. * Collaborate with product, business, and engineering teams to translate ...
Senior Data Scientist
Saint Louis, MO · On-site
Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions. * Collaborate with product, business, and engineering teams to translate ...
Senior Data Scientist
Saint Louis, MO · On-site
Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions. * Collaborate with product, business, and engineering teams to translate ...
Quick apply
Senior Data Scientist
Saint Louis, MO · On-site
Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions. * Collaborate with product, business, and engineering teams to translate ...
IT Principal Data Engineering
Saint Ann, MO · On-site
$96K - $160K/yr
Evaluate and adopt emerging tools in the modern data and ML stack Data Engineering Development ... inference serving * Contribute to MLOps practices including model versioning and monitoring ...
IT Principal Data Engineering
Saint Ann, MO · On-site
$96K - $160K/yr
Evaluate and adopt emerging tools in the modern data and ML stack Data Engineering Development ... inference serving * Contribute to MLOps practices including model versioning and monitoring ...
Principal, Data Scientist
Anderson, MO · On-site
$110K - $220K/yr
Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...
Principal, Data Scientist
Anderson, MO · On-site
$110K - $220K/yr
Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...
Principal, Data Scientist
Cassville, MO · On-site
$110K - $220K/yr
Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...
Principal, Data Scientist
Cassville, MO · On-site
$110K - $220K/yr
Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...
Principal, Data Scientist
Noel, MO · On-site
$110K - $220K/yr
Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...
Principal, Data Scientist
Noel, MO · On-site
$110K - $220K/yr
Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...
$46.25 - $60.25/hr
Experience self-hosing ML inference * Hands-on experience with Vertex AI, Kubeflow, or TensorFlow Serving in production * Background in event-driven architectures and message streaming (e.g., Pub/Sub ...
$46.25 - $60.25/hr
Experience self-hosing ML inference * Hands-on experience with Vertex AI, Kubeflow, or TensorFlow Serving in production * Background in event-driven architectures and message streaming (e.g., Pub/Sub ...
Senior Product Manager
Kansas City, MO · On-site
$145K - $160K/yr
Partner with ML and data science on extraction and GL-inference model performance - framing the problems, defining evaluation metrics, and prioritizing the data and feedback loops that improve them ...
Senior Product Manager
Kansas City, MO · On-site
$145K - $160K/yr
Partner with ML and data science on extraction and GL-inference model performance - framing the problems, defining evaluation metrics, and prioritizing the data and feedback loops that improve them ...
Senior Product Manager
Kansas City, MO · On-site
$145K - $160K/yr
Partner with ML and data science on extraction and GL-inference model performance -- framing the problems, defining evaluation metrics, and prioritizing the data and feedback loops that improve them ...
Quick apply
Apply Early
Senior Product Manager
Kansas City, MO · On-site
$145K - $160K/yr
Partner with ML and data science on extraction and GL-inference model performance -- framing the problems, defining evaluation metrics, and prioritizing the data and feedback loops that improve them ...
Apply Early
Senior Product Manager
Kansas City, MO · On-site +1
$145K - $160K/yr
Partner with ML and data science on extraction and GL-inference model performance - framing the problems, defining evaluation metrics, and prioritizing the data and feedback loops that improve them ...
Senior Product Manager
Kansas City, MO · On-site +1
$145K - $160K/yr
Partner with ML and data science on extraction and GL-inference model performance - framing the problems, defining evaluation metrics, and prioritizing the data and feedback loops that improve them ...
Google AI Lead Architect
$53.75 - $73.75/hr
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Google AI Lead Architect
$53.75 - $73.75/hr
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Google AI Lead Architect
$54 - $74/hr
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Google AI Lead Architect
$54 - $74/hr
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
$50.25 - $63.75/hr
... AI/ML services such as Amazon Bedrock and SageMaker. * Proven experience deploying and scaling GenAI workloads, including LLM fine-tuning, inference optimization, and agent-based architectures.
$50.25 - $63.75/hr
... AI/ML services such as Amazon Bedrock and SageMaker. * Proven experience deploying and scaling GenAI workloads, including LLM fine-tuning, inference optimization, and agent-based architectures.
Machine Learning Engineer
Saint Louis, MO · On-site
$140K - $180K/yr
... inference, and model lifecycle management. * Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows. * Implement model monitoring ...
Machine Learning Engineer
Saint Louis, MO · On-site
$140K - $180K/yr
... inference, and model lifecycle management. * Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows. * Implement model monitoring ...
Distinguished, Software Engineer
Cassville, MO · On-site
$130K - $260K/yr
AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.
Distinguished, Software Engineer
Cassville, MO · On-site
$130K - $260K/yr
AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.
Distinguished, Software Engineer
Noel, MO · On-site
$130K - $260K/yr
AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.
Distinguished, Software Engineer
Noel, MO · On-site
$130K - $260K/yr
AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.
Distinguished, Software Engineer
Anderson, MO · On-site
$130K - $260K/yr
AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.
Distinguished, Software Engineer
Anderson, MO · On-site
$130K - $260K/yr
AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.
Ml Inference information
What is a $900000 AI job?
What is ML inference?
What is the difference between Ml Inference vs Data Scientist?
| Aspect | ML Inference | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of machine learning models, programming skills | Degree in data science, statistics, or related fields |
| Work Environment | Deploying models in production, real-time data processing | Data analysis, model development, research |
| Industry Usage | AI product deployment, software companies | Research 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?
Which 3 jobs will survive AI?
What are some common challenges faced by ML Inference Engineers when deploying models to production?
Will MLE be replaced by AI?
What are the key skills and qualifications needed to thrive in ML Inference, and why are they important?

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 8 hours ago
Job description
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Vice President, Software Engineering - DMP Overview:Mastercard is seeking a Vice President, Software Engineering to lead the Authorization Decisioning domain within the Decision Management program. This role is accountable for advancing a portfolio of market-facing products by leading and scaling high-performing teams of Software Engineers, Product Managers, and Program Managers.
As a senior technology leader, you will operate at the intersection of engineering excellence, product innovation, and cross-functional collaboration. Success in this role requires strong organizational influence, the ability to navigate complex stakeholder landscapes, and a deep sense of empathy for customer and partner needs.
Decision Management enables faster, smarter decisioning at global scale by structuring and applying complex business logic across the payment journey and beyond. Authorization Decisioning orchestrates high throughput, low latency, and data-intensive processing across Decision Management’s intelligent system on behalf of a suite of market-facing products.
This is a hybrid position based in O’Fallon, MO, requiring three days per week onsite.
Role:
• Define and drive the engineering vision and strategy for Authorization and Authentication Decisioning.
• Lead the delivery of complex, cross-functional initiatives spanning real-time decisioning, rules engines, AI/ML inference, data pipelines, and platform services.
• Establish and scale engineering best practices, standards, and frameworks across teams.
• Ensure platform reliability, performance, scalability, security, and compliance in line with the demands of global, mission-critical systems.
• Own operational excellence, including SLAs, observability, and incident management.
• Build, lead, and develop a high-performing organization of engineering managers and senior technical leaders.
• Set clear goals, performance expectations, and career development plans aligned with Mastercard leadership principles.
• Act as a multiplier by scaling impact through leaders, systems, and culture.
• Balance near-term delivery commitments with long-term platform evolution and modernization.
• Champion strong engineering judgment, operational discipline, and customer-centric thinking.
• Model Mastercard leadership behaviors, fostering a culture of inclusion, ownership, and continuous improvement.
All About You:
• Proven experience as a Director or Vice President of Software Engineering, Architecture, or a comparable senior leadership role.
• Demonstrated success leading distributed, global engineering organizations.
• Deep expertise in modern application architectures, including APIs, microservices, event-driven systems, batch processing, and data platforms.
• Strong hands-on knowledge of technologies such as Java, REST APIs, Kafka, messaging systems (MQ), Spring, CI/CD pipelines (e.g., Jenkins), and cloud platforms (e.g., Pivotal Cloud Foundry or similar).
• Proven track record of delivering high-scale, low-latency, highly available platforms in regulated or mission-critical environments.
• Experience leading large, complex programs with predictable, on-time, and on-budget delivery.
• Strong understanding of SDLC methodologies (Scrum, Kanban, SAFe) and when to apply them effectively.
• Expertise in building and operating resilient systems with a focus on security, reliability, testing, observability, and service-oriented design.
• Excellent communication and storytelling skills, with the ability to influence executive, business, and technical stakeholders.
• Strong analytical thinking and decision-making capabilities in ambiguous and complex environments.
• Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Pay Ranges
O‘Fallon, Missouri: $212,000 - $339,000 USD