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Position Summary We are looking for a talented BIM Model Engineer with expertise in water treatment systems to join our team. This role will be responsible for developing and coordinating 3D digital ...

Required : • 7+ years in AI/ML engineering, platform engineering, software engineering, or ... knowledge of model evaluation, fine-tuning, inference optimization, and secure data handling.

... model development * Experienced with benchmarking * Experienced with microbenchmark design * Experienced with RISC-V V-extension is a plus * Good presentation skills Skills * Assembly programming * C ...

The Credit Model Developer II can work independently most of the time and is familiar with some or all of the use cases. ESSENTIAL DUTIES AND RESPONSIBILITIES Under the direction of senior members of ...

... engineering applications preferred * Experience performing hydraulic model calibration required. * Experience utilizing the Groundwater Infiltration Module (GIM) strongly preferred. * Experience ...

Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to ...

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Model Engineering information

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$10

$31

$67

How much do model engineering jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for model engineering in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What is the difference between Model Engineering vs Mechanical Engineering?

AspectModel EngineeringMechanical Engineering
CredentialsTypically requires specialized training or certifications in model making and designRequires a bachelor's degree or higher in mechanical engineering or related fields
Work EnvironmentHobbyist workshops, small-scale manufacturing, or specialized model shopsIndustrial facilities, engineering firms, manufacturing plants
Industry UsageUsed in hobbyist communities, model railroads, and small-scale prototypesApplied across various industries including automotive, aerospace, and manufacturing

Model Engineering focuses on creating detailed, small-scale models often as a hobby or for prototypes, requiring specialized skills and certifications. Mechanical Engineering covers a broad range of industrial applications, involving design, analysis, and manufacturing of mechanical systems. While both involve mechanical principles, Model Engineering is more specialized and hobby-oriented, whereas Mechanical Engineering is a comprehensive, industry-wide profession.

What is model engineering?

Model engineering is the discipline of designing, building, and testing scale models of machines, engines, and mechanical systems, often as a hobby or for educational purposes. It involves applying engineering principles to create functional replicas, usually of steam engines, locomotives, or other mechanical devices. Model engineers use skills in machining, metalworking, and problem-solving to bring detailed plans to life. The field combines creativity, craftsmanship, and technical knowledge, and is popular among enthusiasts who enjoy both the process and the finished models.

What engineers make $200,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering often earn $200,000 or more annually, especially with extensive experience, advanced skills, and relevant certifications. High-level managerial or executive engineering roles can also reach or exceed this salary level, typically requiring leadership responsibilities and a strong track record.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes professional certifications or advanced degrees.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum engineering, aerospace engineering, and software engineering with extensive experience and advanced skills can earn $300,000 or more annually. High-level roles often require advanced degrees, certifications, and leadership responsibilities, especially in industries like oil and gas, aerospace, and technology companies.

What are some typical challenges faced by model engineers when collaborating with cross-functional teams?

Model engineers often work closely with data scientists, product managers, and software engineers to develop and deploy machine learning models. A common challenge is ensuring clear communication across teams with different technical backgrounds, especially when translating complex model requirements into actionable development tasks. Additionally, balancing accuracy and performance with business needs can be demanding, requiring model engineers to find practical solutions that align with project goals. Regular meetings and thorough documentation are essential to streamline collaboration and overcome these hurdles.

What are the key skills and qualifications needed to thrive as a Model Engineer, and why are they important?

To thrive as a Model Engineer, you need a solid background in mechanical engineering principles, precision fabrication, and often a relevant engineering degree or technical training. Familiarity with CAD software, CNC machines, lathes, and other fabrication tools is typically required, along with any relevant safety certifications. Attention to detail, creativity, and strong problem-solving skills help set outstanding model engineers apart. These skills ensure that accurate, functional, and high-quality models or prototypes are produced efficiently and safely.

What does a modeling engineer do?

A modeling engineer designs and develops mathematical and computer models to simulate real-world systems or processes. They use tools like CAD software and programming languages to create accurate representations, often working in industries such as manufacturing, aerospace, or automotive. Their work supports product development, optimization, and testing efforts.
More about Model Engineering jobs
What states have the most Model Engineering jobs? States with the most job openings for Model Engineering jobs include:
Infographic showing various Model Engineering job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

AI Foundational Model Engineer

NTT DATA North America

Jersey City, NJ • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
NTT DATA North America is a leading business and technology services provider, and they are seeking an AI Foundational Model Engineer. The role involves designing, building, deploying, and optimizing enterprise-grade AI systems powered by foundational models and LLMs, particularly in a regulated financial-services environment.
Responsibilities:
• Design and implement LLM-powered applications such as knowledge assistants, document intelligence solutions, workflow agents, summarization tools, and decision-support systems.
• Build RAG pipelines using embeddings, chunking strategies, vector databases, semantic retrieval, reranking, response grounding, and citation patterns.
• Adapt and optimize models using LoRA, PEFT, instruction tuning, distillation, transfer learning, quantization, and domain adaptation techniques.
• Develop scalable APIs, microservices, model-serving components, and integration patterns across cloud, hybrid, or containerized environments.
• Optimize inference workloads for latency, throughput, token efficiency, cost, reliability, and user experience.
• Implement model and application observability, including prompt logs, retrieval quality, hallucination indicators, drift signals, feedback loops, cost telemetry, and service health.
• Embed security, privacy, Responsible AI, and model risk controls into AI application design and delivery.
• Create production documentation, runbooks, release notes, test evidence, and audit-ready implementation records.
Qualifications:
Required:
• 7+ years in AI/ML engineering, platform engineering, software engineering, or applied machine learning.
• Hands-on experience with LLMs, transformers, embeddings, RAG, semantic search, and GenAI application patterns.
• Strong Python engineering skills with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
• Experience deploying production AI services using APIs, containers, Kubernetes, CI/CD, cloud-native services, and monitoring platforms.
• Practical knowledge of model evaluation, fine-tuning, inference optimization, and secure data handling.
Preferred:
• Banking, risk, compliance, financial crime, operations, or enterprise technology background.
• Experience with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow, or model gateways.
• Exposure to model risk, AI governance, audit controls, AI cost governance, and private or open-source LLM deployments.
Company:
NTT DATA, Inc. is a trusted global innovator of business and technology services. Founded in 1988, the company is headquartered in Plano, USA, with a team of 10001+ employees. The company is currently Late Stage.