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Executive Full Stack Machine Learning Engineer Jobs in North Carolina

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Machine Learning Engineer Lead

Raleigh, NC · On-site

$99K - $131K/yr

Job Summary The Machine Learning Engineer Lead will define and lead the architecture of scalable AI/ML and agentic systems across the global product portfolio. This senior technical leadership role ...

We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our ...

$110K - $140K/yr

The Machine Learning Engineer role is all about building, recruiting, management, internal communication and delivery - getting the product out the door, while ensuring the team is hitting their mark.

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

Showing results 21-40

Executive Full Stack Machine Learning Engineer information

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 North Carolina?

The most popular types of Full Stack Machine Learning Engineer jobs in North Carolina are:

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in North Carolina?

For Executive Full Stack Machine Learning Engineer jobs in North Carolina, the most frequently searched job titles are:

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The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities in North Carolina with the most Executive Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

CRC Group

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st Shift (United States of America)
Please review the following job description:
We are building the foundation of the machine learning function at a market-leading insurance company. As one of the first data science hires, you will play a pivotal role in shaping our ML strategy, frameworks, and operating model. This is a unique opportunity to be hands-on, developing and maintaining production-grade solutions while influencing the long-term vision and scaling of our ML capabilities.
Key Responsibilities
Strategic Contribution
  • Partner with the Head of ML, product and data teams to define and implement the company-wide ML framework and best practices.
  • Contribute to the roadmap for ML development, adoption and team growth.

Hands-On Development
  • Ideate, design and build ML and AI prototypes to validate priority use cases and solve complex business problems to drive tangible value, while collaborating with product and business teams.
  • Develop and deploy production-grade ML models and data pipelines.
  • Build orchestration and integration frameworks for ML models and pipelines.
  • Develop and maintain CI/CD pipelines for ML solutions, including test automation, to ensure successful deployment of updated models

Operational Excellence
  • Monitor, maintain, and retrain models in production to ensure performance and compliance.
  • Manage data updates, versioning, and integrity for deployed solutions.
  • Implement robust monitoring and alerting systems for ML services.

Team Building
  • Help establish processes, tools, and standards for a growing ML team.
  • Mentor future hires and contribute to a collaborative, innovative culture.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Develop customized coding, software integration, perform analysis, configure solutions, using tools specific to the project or the area.
2. Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing.
3. Build non-functional monitoring capabilities and provide escalated support for highly complex applications in production.
4. Build in and maintain security controls and monitoring in support of company standards.
5. Typically lead moderately complex projects and participate in larger, more complex initiatives.
6. Solve complex technical and operational problems. Act as a resource for teammates with less experience
7. May oversee the work of a small team.
8. In an Agile environment: Responsible for delivering high quality working software and automating manual/reusable tasks working directly, and engage with, the business from the beginning of the design work. Leverage continuous engineering practices to deliver business value regarding effectiveness of the design. Actively participate in refining user stories. Responsible for design, developing, and maintaining automated unit testing, and supporting integration and functional testing. Responsible for providing automated monitoring capabilities, providing warranty support, and providing knowledge transfer to production support. Develop code in accordance with the acceptance criteria established by the Product Owner.
QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's Degree and six to ten years of experience or equivalent education and software engineering training or experience
Technical Skills
  • Strong proficiency in Python and ML frameworks.
  • Experience with Databricks and Azure for data engineering and ML workflows.
  • Familiarity with MLOps tools (MLflow, Lakehouse Monitoring, Azure DevOps) and CI/CD practices.
  • Solid understanding of data science and engineering principles and model lifecycle management.

Experience
  • 5+ years total in data analytics, infrastructure, engineering and science roles.
  • 2+ years in applied ML engineering or data science roles.
  • Proven track record of deploying ML models into production environments.
  • Familiarity with monitoring, retraining, and maintaining ML systems at scale.

Soft Skills
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills to influence stakeholders and explain technical concepts.

Nice-to-Have:
  • Knowledge of insurance industry data and business processes

2. In-depth knowledge in information systems and ability to identify, apply, and implement best practices
3. Understanding of key business processes and competitive strategies related to the IT function
4. Ability to plan and manage projects and solve complex problems by applying best practices
5. Ability to provide direction and mentor less experienced teammates. Ability to interpret and convey complex, difficult, or sensitive information
Location: Charlotte, Dallas, Raleigh, Alpharetta
General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being - physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan.
CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.
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