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Freelance Machine Learning Engineer Jobs in Shelby, NC

ABB

Data Scientist - People Analytics

Dallas, NC · Hybrid

Leverage programming languages and platforms such as Python, R, Snowflake, NoSQL, and data lakes to build predictive models, scalable frameworks, and machine learning solutions. * Translate people ...

Devoteam

Cloud Engineer

Alexis, NC

$52.25 - $69.75/hr

... Marketing Digital, Machine Learning, Ingenieria y desarrollo del Software. Devoteam ha sido ... a Cloud Engineer para incorporarse a nuestro equipo de manera estable y en modalidad 100 ...

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Machine learning, Data Warehousing Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of ...

IBM

Site Reliability Engineer Intern 2027

Lowell, NC · On-site

$47.75 - $63.50/hr

... machine learning to generative AI-to help make organizations more responsive, productive, and ... Job Title Site Reliability Engineer Intern 2027 Date posted 11-Aug-2026 Job ID 128513 City ...

IBM

Site Reliability Engineer Intern 2027

Lowell, NC · Hybrid

$47.75 - $63.50/hr

... machine learning to generative AI-to help make organizations more responsive, productive, and ... Job Title Site Reliability Engineer Intern 2027 Date posted 11-Aug-2026 Job ID 128513 City ...

IBM

Site Reliability Engineer Spring Co-op 2027

Lowell, NC · On-site

$47.75 - $63.50/hr

As a Site Reliability Engineer, you will work in an agile, collaborative environment to build ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

IBM

Site Reliability Engineer Spring Co-op 2027

Lowell, NC · On-site

$47.75 - $63.50/hr

As a Site Reliability Engineer, you will work in an agile, collaborative environment to build ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Data Engineering|Databricks Technical Skills 2 Technology|Big Data - Data Processing|PySpark ... Machine Learning, Data warehousing Additional Required Qualifications • Bachelor's degree or ...

IBM

Software Developer Spring Co-op 2027

Lowell, NC · On-site

... machine learning to generative AI-to help make organizations more responsive, productive, and ... Job Title Software Developer Spring Co-op 2027 Date posted 12-Aug-2026 Job ID 128506 City ...

IBM

Software Developer Intern 2027

Lowell, NC · On-site

$16.25 - $21.25/hr

... machine learning to generative AI-to help make organizations more responsive, productive, and ... Job Title Software Developer Intern 2027 Date posted 11-Aug-2026 Job ID 128497 City / Township ...

IBM

Software Developer Intern 2027

Lowell, NC

$16.25 - $21.25/hr

... machine learning to generative AI-to help make organizations more responsive, productive, and ... Job Title Software Developer Intern 2027 Date posted 11-Aug-2026 Job ID 128497 City / Township ...

Curtisswright

Controls Engineer

Gastonia, NC

$100K - $110K/yr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... hardware/machine automation. What You Bring * Bachelor's degree in mechanical engineering or ...

Curtiss-Wright

Controls Engineer

Gastonia, NC · On-site

$100K - $110K/yr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... hardware/machine automation. What You Bring * Bachelor's degree in mechanical engineering or ...

Curtiss-Wright

Controls Engineer

Gastonia, NC · On-site

$100K - $115K/yr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... hardware/machine automation. What You Bring * Bachelor's degree in mechanical engineering or ...

Curtiss-Wright

Controls Engineer

Gastonia, NC · On-site

$100K - $115K/yr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... hardware/machine automation. What You Bring * Bachelor's degree in mechanical engineering or ...

Curtiss-Wright

Controls Engineer

Gastonia, NC · On-site

$100K - $115K/yr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... hardware/machine automation. What You Bring * Bachelor's degree in mechanical engineering or ...

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Freelance Machine Learning Engineer information

See Shelby, NC salary details

$14

$45

$125

How much do freelance machine learning engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for freelance machine learning engineer in Shelby, NC is $45.23, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $58.56 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

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

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

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

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are popular job titles related to Freelance Machine Learning Engineer jobs in Shelby, NC?

For Freelance Machine Learning Engineer jobs in Shelby, NC, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning Engineer jobs in Shelby, NC look for?

The top searched job categories for Freelance Machine Learning Engineer jobs in Shelby, NC are:

What cities near Shelby, NC are hiring for Freelance Machine Learning Engineer jobs?

Cities near Shelby, NC with the most Freelance Machine Learning Engineer job openings:

Freelance Machine Learning Engineer jobs near you

Network Engineer, AI Infrastructure Repair

Forest City, NC • On-site

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$193K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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