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Weekend Artificial Intelligence Machine Learning Jobs in Raleigh, NC

Deloitte

AI Data Engineer Senior Consultant

Raleigh, NC · On-site

$111.30K - $133.70K/yr

Preferred : • Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field • Cloud or artificial intelligence or machine learning certification • ...

AstraZeneca

Agentic AI Scientist

Durham, NC

Min Bachelors degree in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in ...

Duke University

AI Engineer

Durham, NC · Hybrid

$110.50K - $132.80K/yr

Master's degree with a focus on artificial intelligence, machine learning, or software engineering. Other Requirements * Experience working with sensitive or regulated data and an understanding of ...

Duke University

AI Engineer

Durham, NC · On-site

$110.50K - $132.80K/yr

Master's degree with a focus on artificial intelligence, machine learning, or software engineering. Other Requirements * Experience working with sensitive or regulated data and an understanding of ...

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

Min Bachelor's degree in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding ...

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

Min Bachelors degree in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in ...

AstraZeneca

Agentic AI Scientist

Durham, NC

Min Bachelors degree in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding skills ...

Deloitte

Finance Analytics & AI Manager

Raleigh, NC

One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range ...

Collibra

Senior AI Engineer

Raleigh, NC · Hybrid

$101.60K - $139.50K/yr

Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra's data products * Collaborating with cross-functional teams and mentoring ...

UNC-Chapel Hill

Research Assistant

Chapel Hill, NC · On-site

$25 - $35/hr

The candidate will work with Artificial Intelligence and Machine Learning. Primary responsibilities include assisting with data science tasks in large clinical cohorts. Minimum Education and ...

Vanguard-IP

Patent Agent #21136 Raleigh

Raleigh, NC

Relevant technical experience in data science, machine learning, artificial intelligence, Internet of Things, wireless communications, sensors, semiconductors, optics, or equivalent sectors is a plus.

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How much do weekend artificial intelligence machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for weekend artificial intelligence machine learning in Raleigh, NC is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $27.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Artificial Intelligence Machine Learning Specialist, and why are they important?

To thrive as a Weekend Artificial Intelligence Machine Learning Specialist, you need a solid background in mathematics, statistics, and programming, typically with a degree in computer science or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools and cloud platforms, are often required along with relevant certifications. Strong problem-solving abilities, time management, and effective communication skills help professionals excel during limited weekend hours. These competencies ensure that complex AI/ML tasks are efficiently addressed and projects move forward even within a condensed work schedule.

What are some common challenges faced by professionals working in a weekend Artificial Intelligence Machine Learning role?

Professionals in weekend AI/ML roles often face the challenge of balancing project deadlines with limited working hours, which requires strong time management and prioritization skills. Collaboration can also be more complex, as team members may work on different schedules, making clear communication and documentation especially important. Additionally, staying updated with rapidly evolving AI/ML tools and frameworks can be demanding, so dedicating time for continuous learning is essential. Despite these challenges, weekend roles can offer flexibility and the opportunity to work on cutting-edge projects while accommodating other commitments.

What are Weekend Artificial Intelligence Machine Learning jobs?

Weekend Artificial Intelligence Machine Learning jobs are positions that allow professionals to work specifically on weekends, focusing on tasks related to AI and machine learning. These roles can involve data analysis, model development, algorithm optimization, or supporting AI projects, often in a part-time or contract capacity. They are ideal for individuals seeking flexible work schedules or those wanting to gain experience in AI/ML outside of traditional weekday hours. Such positions are available in various industries, including tech, healthcare, finance, and more.

What is the difference between Weekend Artificial Intelligence Machine Learning vs Data Scientist?

AspectWeekend Artificial Intelligence Machine LearningData Scientist
Required CredentialsRelevant certifications in AI/ML, programming skillsDegree in Data Science, Statistics, or related fields
Work EnvironmentPart-time, project-based, flexible hoursFull-time, office or remote, collaborative teams
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonOften compared for AI/ML roles with flexible schedulesBroader data analysis roles, often full-time

Weekend Artificial Intelligence Machine Learning roles focus on part-time, flexible projects requiring AI/ML skills and certifications, often in tech environments. Data Scientists typically work full-time in data analysis, requiring advanced degrees and broader industry applications. Both roles involve data handling but differ in work hours, environment, and career scope.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Raleigh, NC? The most popular types of Artificial Intelligence Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Weekend Artificial Intelligence Machine Learning jobs in Raleigh, NC? For Weekend Artificial Intelligence Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Weekend Artificial Intelligence Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Weekend Artificial Intelligence Machine Learning jobs in Raleigh, NC are:
Weekend Artificial Intelligence Machine Learning jobs near you
AI Data Engineer Senior Consultant

AI Data Engineer Senior Consultant

Deloitte

Raleigh, NC • On-site

$111.30K - $133.70K/yr

Full-time

Posted 10 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that transforms technology platforms and drives innovation. They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and GenAI foundations for Human Capital AI products and analytics, collaborating with various teams to deliver reliable and scalable AI solutions.
Responsibilities:
• Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and delivered solutions, including application programming interfaces, services, pipelines, and containerized or serverless components
• Build and operationalize large language model-enabled capabilities, including copilots, knowledge assistants, summarization, and policy question-and-answer solutions using secure endpoints, tool calling, and reusable prompt and context patterns
• Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry
• Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills
• Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and incident response practices for production artificial intelligence and data solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field
• 4+ years of experience building and delivering large language model or generative artificial intelligence solutions using Claude-, GPT-, or Gemini-class models, including prompt design, context design, tool calling, evaluation, and production integration
• 4+ years of experience implementing retrieval-augmented generation, document processing, embeddings, and vector or hybrid search in enterprise environments
• 4+ years of experience in data engineering, including data modeling, batch or streaming pipelines, structured and unstructured data processing, and feature engineering
• 4+ years of experience building production inference services and enterprise integrations using application programming interfaces, Representational State Transfer (REST), GraphQL, event-driven patterns, continuous integration and continuous deployment, infrastructure as code, Docker, Kubernetes, and monitoring tools
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field
• Cloud or artificial intelligence or machine learning certification
• 4+ years of experience with Workday, SAP SuccessFactors, Oracle HCM, Salesforce, or human resources data domains
• 4+ years of experience operationalizing machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management
• 4+ years of experience using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute
• 4+ years of experience translating business requirements into acceptance criteria and release increments
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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