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Executive Full Stack Machine Learning Engineer Jobs in Missouri

As a Full Stack Developer, you will collaborate closely with the newly formed teams to ensure ... Azure Developer, etc.) - are advantageous and show a commitment to ongoing learning. * Experience ...

As a Full Stack Developer, you will collaborate closely with the newly formed teams to ensure ... Azure Developer, etc.) - are advantageous and show a commitment to ongoing learning. * Experience ...

Our partner is looking for a Junior Full-Stack Engineer (AI Code Evaluation) based in Netherlands ... Fast-paced environment with strong learning and career growth potential. * Collaboration with ...

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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 popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Missouri? For Executive Full Stack Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Missouri look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Missouri are:
What cities in Missouri are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Missouri with the most Executive Full Stack Machine Learning Engineer job openings:
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Missouri as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
AI Full Stack Engineer, Manager - Tax Transformation

AI Full Stack Engineer, Manager - Tax Transformation

Deloitte

Saint Louis, MO • On-site

Other

Re-posted 18 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

72nd of 146 rated financial services


Job description

If you are a technology visionary with a passion for transforming global tax business with digital technology, consider working with the US Tax Transformation technology team. This is an exciting opportunity to support global execution of Deloitte's tax strategy as we shift from "doing digital" to "being digital" by reimagining how we engage with our clients, deliver our services, operate our business, and create value.

Recruiting for this role ends on May 31, 2027.

What You'll Do

As a Deloitte Tax AI Full Stack Engineer, Manager, you'll play a lead role in designing, developing, and deploying cutting-edge web applications and features that solve key business challenges. You'll work hands-on across the entire technology stack, collaborating closely with other engineers, data scientists, and business stakeholders to deliver robust, scalable solutions and integrate AI components into modern web applications.

Responsibilities:

  • Participate in requirements analysis and collaborate on software design and architecture with US colleagues, vendors, and global team members.
  • Write clean, scalable, and maintainable code using .NET programming languages; revise, refactor, and debug as needed.
  • Develop, support, and maintain technology solutions, ensuring applications meet client expectations in scope, functionality, quality, and delivery standards.
  • Test, deploy, and monitor applications, striving for high code quality and minimal bugs in production.
  • Leverage industry best practices in software development, version control, and Agile methodologies; participate in daily SCRUM calls and provide task updates.
  • Work collaboratively across on-shore and off-shore teams to foster a culture of teamwork and knowledge sharing.
  • Continuously learn and apply project management processes, development tools, and testing methodologies relevant to the team and projects.
  • Design and implement AI-driven features in enterprise web solutions (e.g., LLM-powered recommendations, intelligent search).
  • Collaborate with data science teams to integrate and productionize machine learning models.
  • Develop and optimize RESTful APIs for AI/ML services, including prompt engineering for GenAI solutions.
  • Utilize Azure AI/ML platform, vector databases, and related tools for the deployment and monitoring of AI features.

The Team

Deloitte Tax LLP's Tax Transformation Office (TTO) is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The TTO team focuses on enhancing Deloitte Tax LLP's ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, Six Sigma, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.

Qualifications 

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
  • Bachelor's degree in computer science or a relevant discipline.
  • 5 + years of experience in full stack web development and strong hands-on experience on C#, SQL Server, OOPS Concepts, Micro Services Architecture.
  • Demonstrated proficiency in modern front-end frameworks (e.g., Angular, React).
  • Proven hands-on experience on .NET Core, ASP.NET Core Web API, SQL, NoSQL, Entity Framework 6 or above, Azure, Database performance tuning, Applying Design Patterns, Agile.
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.
  • One of the following active accreditations obtained:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
    • If not CPA eligible:
      • Licensed Attorney
      • Enrolled Agent
      • Technology Certifications:
        • AWS Certified Solutions Architect
        • Certified SAFe Advanced Scrum Master
        • Certified SAFe Agile Software Engineer
        • Certified SAFe Agilist
        • Certified SAFe Architect
        • Certified SAFe DevOps Practitioner
        • Certified SAFe Practitioner
        • Certified SAFe Scrum Master
        • Certified Scrum Developer (CSD)
        • MCSD: Application Lifecycle Management Solutions Developer
        • MCSD: Web Applications
        • Microsoft Azure
        • Microsoft Certified Solutions Developer (MCSD)
        • Microsoft Certified Solutions Expert (MCSE)
        • Microsoft MCSD Certification
        • Professional Scrum Developer (PSD)
        • Professional Scrum Product Owner(PSCPO) - SCRUM.org

Preferred:

  • Practical experience integrating and utilizing AI/ML features in web applications, including prompt engineering and working with Gen AI models.
  • Familiarity with designing and integrating databases (SQL, NoSQL) and working with vector databases, RAG, and hybrid search approaches.
  • Prior experience developing agentic AI applications or GenAI-powered modules.
  • Experience with Azure (cloud hosting, DevOps/build/release pipelines), MongoDB, and Entity Framework.
  • Excellent troubleshooting and communication skills.
  • Strong verbal and written communication skills; strong listening, interpersonal, and facilitation skills.
  • Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.
  • Self-starter with solid analytical and problem-solving skills.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,025 to $261,625.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

If you are a technology visionary with a passion for transforming global tax business with digital technology, consider working with the US Tax Transformation technology team. This is an exciting opportunity to support global execution of Deloitte's tax strategy as we shift from "doing digital" to "being digital" by reimagining how we engage with our clients, deliver our services, operate our business, and create value.

Recruiting for this role ends on May 31, 2027.

What You'll Do

As a Deloitte Tax AI Full Stack Engineer, Manager, you'll play a lead role in designing, developing, and deploying cutting-edge web applications and features that solve key business challenges. You'll work hands-on across the entire technology stack, collaborating closely with other engineers, data scientists, and business stakeholders to deliver robust, scalable solutions and integrate AI components into modern web applications.

Responsibilities:

  • Participate in requirements analysis and collaborate on software design and architecture with US colleagues, vendors, and global team members.
  • Write clean, scalable, and maintainable code using .NET programming languages; revise, refactor, and debug as needed.
  • Develop, support, and maintain technology solutions, ensuring applications meet client expectations in scope, functionality, quality, and delivery standards.
  • Test, deploy, and monitor applications, striving for high code quality and minimal bugs in production.
  • Leverage industry best practices in software development, version control, and Agile methodologies; participate in daily SCRUM calls and provide task updates.
  • Work collaboratively across on-shore and off-shore teams to foster a culture of teamwork and knowledge sharing.
  • Continuously learn and apply project management processes, development tools, and testing methodologies relevant to the team and projects.
  • Design and implement AI-driven features in enterprise web solutions (e.g., LLM-powered recommendations, intelligent search).
  • Collaborate with data science teams to integrate and productionize machine learning models.
  • Develop and optimize RESTful APIs for AI/ML services, including prompt engineering for GenAI solutions.
  • Utilize Azure AI/ML platform, vector databases, and related tools for the deployment and monitoring of AI features.

The Team

Deloitte Tax LLP's Tax Transformation Office (TTO) is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The TTO team focuses on enhancing Deloitte Tax LLP's ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, Six Sigma, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.

Qualifications 

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
  • Bachelor's degree in computer science or a relevant discipline.
  • 5 + years of experience in full stack web development and strong hands-on experience on C#, SQL Server, OOPS Concepts, Micro Services Architecture.
  • Demonstrated proficiency in modern front-end frameworks (e.g., Angular, React).
  • Proven hands-on experience on .NET Core, ASP.NET Core Web API, SQL, NoSQL, Entity Framework 6 or above, Azure, Database performance tuning, Applying Design Patterns, Agile.
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.
  • One of the following active accreditations obtained:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
    • If not CPA eligible:
      • Licensed Attorney
      • Enrolled Agent
      • Technology Certifications:
        • AWS Certified Solutions Architect
        • Certified SAFe Advanced Scrum Master
        • Certified SAFe Agile Software Engineer
        • Certified SAFe Agilist
        • Certified SAFe Architect
        • Certified SAFe DevOps Practitioner
        • Certified SAFe Practitioner
        • Certified SAFe Scrum Master
        • Certified Scrum Developer (CSD)
        • MCSD: Application Lifecycle Management Solutions Developer
        • MCSD: Web Applications
        • Microsoft Azure
        • Microsoft Certified Solutions Developer (MCSD)
        • Microsoft Certified Solutions Expert (MCSE)
        • Microsoft MCSD Certification
        • Professional Scrum Developer (PSD)
        • Professional Scrum Product Owner(PSCPO) - SCRUM.org

Preferred:

  • Practical experience integrating and utilizing AI/ML features in web applications, including prompt engineering and working with Gen AI models.
  • Familiarity with designing and integrating databases (SQL, NoSQL) and working with vector databases, RAG, and hybrid search approaches.
  • Prior experience developing agentic AI applications or GenAI-powered modules.
  • Experience with Azure (cloud hosting, DevOps/build/release pipelines), MongoDB, and Entity Framework.
  • Excellent troubleshooting and communication skills.
  • Strong verbal and written communication skills; strong listening, interpersonal, and facilitation skills.
  • Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.
  • Self-starter with solid analytical and problem-solving skills.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,025 to $261,625.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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