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Remote Mechanical Engineering Machine Learning Jobs in Raleigh, NC

Hitachi

Electro-Mechanical Engineer

Raleigh, NC · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The Opportunity In this role, you will ... Access to learning platforms and career development programs * Competitive health and retirement ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

... platform engineering teams. * Operationalize machine learning workflows and support AI-enabled ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

HedgeServ

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

TEKsystems

Data Engineer

Durham, NC · Remote

$150K/yr

Support and enhance enterprise MLOps capabilities and machine learning pipelines. * Enable ... Deep understanding of data engineering concepts, including: Data lakes Data pipelines Data ...

Redhat

Data Scientist

Raleigh, NC · On-site +1

... mechanisms to compare, test, and optimize AI/ML model accuracy, robustness, and reliability ... Apply statistical theory, machine learning algorithms, NLP and Transformer-based architectures ...

IQVIA

AI Solutions Delivery 3 (Remote)

Durham, NC · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology ... data scientists, developers, and clinical experts to translate clients' business needs into ...

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Showing results 21-40

All JobsMechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning Jobs in Raleigh, NC

Remote Mechanical Engineering Machine Learning information

See Raleigh, NC salary details

$44.2K

$100K

$161.9K

How much do remote mechanical engineering machine learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote mechanical engineering machine learning in Raleigh, NC is $100,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $123,000.00 per year, depending on experience, location, and employer.

What is a remote mechanical engineering machine learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Raleigh, NC?

For Remote Mechanical Engineering Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Raleigh, NC look for?

The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Mechanical Engineering Machine Learning jobs?

Cities near Raleigh, NC with the most Remote Mechanical Engineering Machine Learning job openings:

Remote Mechanical Engineering Machine Learning jobs near you
Infographic showing various Remote Mechanical Engineering Machine Learning job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $100,006 per year, or $48.1 per hour.

AI Platform Director - Data Engineering

Raleigh, NC • On-site, Remote

First Citizens Bank
See more jobs at First Citizens Bankexternal

$245K/yr

Full-time

Re-posted 29 days ago

First Citizens Bank rating

7.3

Company rating: 7.3 out of 10

Based on 107 frontline employees who took The Breakroom Quiz

Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina or Arizona

We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle—from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.

As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders—ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value. 


Responsibilities & Qualifications

AWS AI/ML Platform Ownership

  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation. 
  • Continuously enhance the platform’s automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines. 
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design. 

Machine Learning & GenAI Execution

  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.

 

Data & Engineering Collaboration

  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems

 

Model Governance & Risk Compliance

  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks. 
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform’s core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery. 
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)

 

Team Building & Leadership

  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies. 
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control.

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management.

OR

High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Qualifications

  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications

  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-JM1


Additional Information

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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