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Executive Full Stack Machine Learning Engineer Jobs in Ohio

Judge Group, Inc.

Full Stack Developer

Columbus, OH · On-site

... a Software Engineer, you will design, develop, test, deploy, maintain, and improve software ... machine learning. Additional Information * This role requires strong problem-solving skills ...

CapTech Consulting

Full-Stack Engineer

Columbus, OH

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Learning & Development - Programs offering certification and tuition support, digital on-demand ...

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

CapTech Consulting

Full-Stack Engineer

Columbus, OH · On-site

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Learning & Development - Programs offering certification and tuition support, digital on-demand ...

SynergisticIT

Jr. Java Programmer (Remote)

Toledo, OH · On-site

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

CSafe Global

Full Stack Engineer

Monroe, OH · On-site

Join our team as a Full Stack Engineer and be the hands-on technical owner for modern, data-aware applications ( including AI-powered features ) in a Microsoft/Azure environment. You'll set ...

Path Robotics

Machine Learning Engineer, Perception

Columbus, OH · On-site +1

$100K - $138K/yr

... learning, and Python programming to tackle challenges in our field alongside our talented teams. What You'll Do Experienced: * Implement, validate, and iterate on machine learning algorithms for weld ...

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Executive Full Stack Machine Learning Engineer information

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Ohio? The most popular types of Full Stack Machine Learning Engineer jobs in Ohio are:
What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Ohio? For Executive Full Stack Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Ohio look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Ohio are:
What cities in Ohio are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Ohio with the most Executive Full Stack Machine Learning Engineer job openings:
Executive Full Stack Machine Learning Engineer jobs near you
Full Stack Developer

Full Stack Developer

Judge Group, Inc.

Columbus, OH • On-site

Other

Re-posted 3 days ago

Job description

Location: Columbus, OH Salary: Negotiable Description: Our client is currently seeking a Full Stack Developer
Overview
As a Software Engineer, you will design, develop, test, deploy, maintain, and improve software solutions. You will work on complex technical challenges, contribute to scalable systems, and collaborate with cross-functional teams to deliver high-quality applications.
Responsibilities
  • Design, develop, and troubleshoot scalable software solutions, applying creative and non-traditional approaches to solve complex technical problems.
  • Write secure, high-quality, and maintainable production code, ensuring system reliability and performance.
  • Develop architecture and design artifacts for complex applications, ensuring alignment between design constraints and implementation.
  • Analyze large and diverse datasets to generate insights, visualizations, and reporting that drive continuous improvement.
  • Identify hidden issues and patterns in systems and data, and use insights to improve code quality, system architecture, and operational efficiency.
  • Collaborate effectively within engineering teams and contribute to knowledge-sharing initiatives, including communities of practice and emerging technology discussions.
  • Foster an inclusive team environment that values diversity, equity, and respect.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 3+ years of experience in software development, system design, and application engineering.
  • Experience with Java and frameworks such as Spring or Spring Boot.
  • Experience designing, building, testing, and maintaining applications in a production environment.
  • Experience working with modern programming languages and database query languages (e.g., SQL).
  • Understanding of the Software Development Life Cycle (SDLC).
  • Experience with distributed systems, microservices architecture, and event-driven technologies (e.g., Apache Kafka).
  • Familiarity with tools and technologies such as containers, Oracle databases, Splunk, Dynatrace, and cloud platforms (e.g., Pivotal Cloud Foundry).
  • Understanding of agile methodologies and best practices, including CI/CD, system resiliency, and security principles.
Preferred Qualifications
  • Experience with modern front-end technologies (e.g., JavaScript frameworks).
  • Experience with public cloud platforms, such as AWS.
  • Experience working within large-scale enterprise environments.
  • Exposure to specialized technical domains such as cloud computing, artificial intelligence, or machine learning.
Additional Information
  • This role requires strong problem-solving skills, attention to detail, and a commitment to delivering high-quality software.
  • You will have opportunities to work on cutting-edge technologies and contribute to impactful engineering initiatives.

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This job and many more are available through The Judge Group. Please apply with us today!

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