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Temporary Machine Learning Software Engineer Jobs in North Carolina

Software Engineer - Machine Learning

Charlotte, NC · On-site

$95K - $130K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United ... the machine learning function at a market-leading insurance company. As one of the first data ...

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

Requirements * 10 + years of Machine Learning/Software Engineer experience * Master's degree or bachelor's degree, computer science degree is highly desirable. * Strong software engineering ...

Requirements * 8-10 years of Machine Learning/Software Engineer experience * 2-3 years of people management experience. * Master's degree or bachelor's degree, computer science degree is highly ...

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning ...

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to ... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math ...

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... We build advanced software and machine learning systems that help the Department of Defense detect ...

Senior Machine Learning Test Engineer

Concord, NC · On-site +1

$102K - $133K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

$110K - $140K/yr

Be able to communicate collaboratively with Data Scientists and ML Software developers to ... Machine Learning applications. * You will develop data sets for POCs to demonstrate new insights.

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Temporary Machine Learning Software Engineer information

What is the difference between Temporary Machine Learning Software Engineer vs Data Scientist?

AspectTemporary Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; coding skillsBachelor's or Master's in CS, Statistics, or related fields; analytical skills
Work EnvironmentSoftware development teams, project-based rolesData analysis teams, research-focused roles
Employer & Industry UsageTech companies, startups, consulting firmsFinance, healthcare, tech, research institutions
Search & Comparison IntentOften compared for technical roles involving ML implementationCompared for data analysis and modeling expertise

The main difference is that a Temporary Machine Learning Software Engineer focuses on developing and deploying ML models within software projects, while a Data Scientist emphasizes data analysis, statistical modeling, and deriving insights from data. Both roles require strong technical skills, but their focus areas and typical tasks differ.

What are the most commonly searched types of Machine Learning Software Engineer jobs in North Carolina? The most popular types of Machine Learning Software Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Temporary Machine Learning Software Engineer jobs? Cities in North Carolina with the most Temporary Machine Learning Software Engineer job openings:

Software Engineer - Machine Learning

Tihinsurance

Charlotte, NC • On-site

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 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 note: this role is hybrid based in the posted locations, and we are open to remote for the right candidate.

#LI1

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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 unitsand/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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