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Contract Machine Learning Software Engineer Jobs in North Carolina

CoVar

Software Engineer

Durham, NC

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 ...

CRC Group

Machine Learning Engineer

Charlotte, NC · On-site

$140 - $180/hr

## Machine Learning EngineerApplylocations: Charlotte NC - 600 S Tryon St.: Morrisville NC, 3015 ... Specific activities may change from time to time. 1. Develop customized coding, software ...

Autodesk

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 ...

Targan Inc

Senior Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Develop and implement machine learning derived software to solve business problems. * Integrate ... This document does not create an employment contract, implied or otherwise, other than an "at will ...

Sunergi Inc

$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.

Tror AI for everyone

Software Engineer

Charlotte, NC · On-site

... Contract Need 10+ years of experience consultants. Core Skill Requirements: * 6-8 years of strong ... Conceptual understanding of machine learning fundamentals and model telemetry. Additional Skills

Teladoc

Senior Machine Learning Scientist

Concord, NC · On-site +1

Develop modular, well-tested, production-quality software using Python, Spark and SQL to build scalable data engineering, feature engineering, machine learning and AI pipelines following software ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

Job Summary : Qualcomm Technologies, Inc. is focused on advancing machine learning compiler ... Software Engineering, Systems Engineering, or related work experience • Master's degree in ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of ... Solid C++ programming skills * Proven ability to lead teams and deliver complex software projects ...

CRC Group

Machine Learning Engineer

Charlotte, NC · On-site

... the machine learning function at a market-leading insurance company. As one of the first data ... Specific activities may change from time to time. 1. Develop customized coding, software ...

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Showing results 21-40

All JobsContract Machine Learning Software Engineer JobsContract Machine Learning Software Engineer Jobs in North Carolina

Contract Machine Learning Software Engineer information

How does a contract machine learning software engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

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

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

What are the key skills and qualifications needed to thrive as a contract machine learning software engineer?

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

What is a contract machine learning software engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.

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 are popular job titles related to Contract Machine Learning Software Engineer jobs in North Carolina?

For Contract Machine Learning Software Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Software Engineer jobs in North Carolina look for?

The top searched job categories for Contract Machine Learning Software Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Contract Machine Learning Software Engineer jobs?

Cities in North Carolina with the most Contract Machine Learning Software Engineer job openings:

Contract Machine Learning Software Engineer jobs near you

Software Engineer

CoVar

Durham, NC

Full-time

Re-posted 19 days ago

Job description

Software Engineer

About CoVar

CoVar is a small, mission-driven AI/ML R&D software company based in Durham, NC and McLean, VA. We build advanced software and machine learning systems that help the Department of Defense detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that save lives. Our team is composed of curious, passionate engineers who care deeply about using AI to solve real-world problems that matter.

About this position

We are looking for a motivated, detail-oriented Software Engineer who thrives in an environment where reading, understanding, and improving complex codebases is just as important as writing new code. In this role, you will develop and maintain real-time, computationally intensive applications involving data processing, real-time communications, and machine-learning algorithm integration.

You'll work closely with a team of ML engineers and software developers, contribute to system architecture and performance optimization, and help ensure our tools are robust, efficient, and production ready. You will have the opportunity to work on meaningful, high-impact projects in a close-knit engineering team. If you enjoy building systems end-to-end, optimizing performance, and understanding how software interacts with hardware at a deep level, you'll fit right in.

Important Note:

This is a software engineering role and not a prompt engineering role. Candidates with strong LLM prompting skills but limited understanding of software engineering fundamentals will not be successful here.

Minimum qualifications

  • B.S. in Computer Science or related field, preferably M.S., Ph.D, and/or 3+ years of experience
  • Expertise in Python with a minimum of two years of demonstrated hands-on professional development experience and exposure to scientific/computational libraries such as NumPy, SciPy, pandas, scikit-learn, PyTorch, etc.
  • Experience developing real-time, computationally-focused applications
  • Working knowledge of SQL and experience with one or more of MySQL, PostgreSQL, or SQLite
  • Strong fundamental understanding of computing hardware architectures and how they influence software architectural decisions
  • Experience with software development processes, including version control, documentation, testing, and code review
  • Excellent technical communication skills and a customer-service mindset
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance (US citizenship is required)

Preferred qualifications

  • Linux application development
  • Experience with embedded systems or deploying AI/ML solutions on edge hardware (highly desirable)
  • Familiarity with real-time systems, edge hardware optimization, and performance profiling
  • Experience with signal processing, pattern recognition, image processing, and/or machine learning techniques
  • Prior Department of Defense project experience

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com