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Machine Learning Ai Developer Jobs in North Carolina

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Master's degree in related field or 5+ years of equivalent experience in a research or DevOps ...

We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental ...

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 ...

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 ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

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Machine Learning Ai Developer information

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

Is machine learning AI developer a good career?

A machine learning AI developer is a highly in-demand role that involves designing algorithms and models to enable machines to learn from data. It offers strong job growth, competitive salaries, and opportunities across various industries such as technology, healthcare, and finance. Success in this field typically requires skills in programming, mathematics, and familiarity with tools like Python and TensorFlow.

What does a machine learning AI developer do?

A machine learning AI developer designs, builds, and maintains algorithms and models that enable computers to learn from data and make predictions or decisions. They work with programming languages like Python or R, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and engineers to deploy AI solutions in various applications.

What cities in North Carolina are hiring for Machine Learning Ai Developer jobs?

Cities in North Carolina with the most Machine Learning Ai Developer job openings:

Sr. Machine Learning/AI Engineer

Financial Independence Group

Cornelius, NC • On-site

$96K - $132K/yr

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Financial Independence Group (FIG) is one of the nation’s largest Finance and Insurance Marketing Organizations, focusing on expanding financial products and services. They are seeking a Senior Machine Learning/AI Engineer to architect and operationalize intelligent systems, develop machine learning models, and collaborate with cross-functional teams to drive organizational efficiency.
Responsibilities:
• Design, build, and deploy machine learning models and AI systems at scale.
• Develop LLM‑powered applications, including RAG pipelines, agent workflows, and automated decision‑support tools.
• Collaborate with cross‑functional partners to translate business needs into technical AI solutions.
• Work closely with data engineering to ensure strong data availability, quality, and ML readiness.
• Mentor engineers and analysts, guiding best practices in MLOps, model development, and responsible AI.
• Implement monitoring, observability, and model governance frameworks.
• Maintain high standards for security, safety, and compliance aligned with FIG’s AI governance.
• Evaluate new models, tools, and frameworks to continuously expand FIG’s AI capabilities.
• Present recommendations, insights, and solution designs to technical and non‑technical stakeholders.
Qualifications:
Required:
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit‑learn).
• Experience building and deploying machine learning models into production environments.
• Hands‑on experience working with large language models (LLMs), transformers, vector databases, embeddings, and retrieval‑augmented generation (RAG).
• Ability to design end‑to‑end AI pipelines from data ingestion and feature engineering to training, evaluation, deployment, and monitoring.
• Familiarity with prompt engineering, fine‑tuning, and model optimization techniques.
• Experience implementing MLOps workflows and tools (MLflow, Databricks, Weights & Biases, SageMaker, AgentCore or similar).
• Knowledge of agent frameworks (Strands, LangChain, Semantic Kernel, CrewAI, AutoGen).
• Knowledge of cloud technologies (AWS preferred), containerization and orchestration.
• Strong SQL skills and comfort working with modern data platforms (e.g., Snowflake, Redshift, BigQuery, Synapse).
• Experience deploying APIs, microservices, and distributed systems.
• Ability to evaluate model performance, identify failure modes, and optimize for accuracy, fairness, and reliability.
• Strong critical‑thinking skills paired with creativity in designing AI‑driven solutions.
• Experience conducting exploratory analysis, model experimentation, and error analysis.
• Ability to balance technical excellence with practical business impact.
• Ability to translate business needs into scalable AI solutions.
• Experience partnering with cross‑functional teams across engineering, data, operations, and leadership.
• Strong communication skills with the ability to present complex concepts clearly.
• Ability to mentor, guide, and influence teammates and stakeholders.
Preferred:
• Experience in financial services, insurance, wealth management, or other regulated industries.
• Prior involvement in AI governance, responsible AI frameworks, or risk assessments.
• Experience contributing to data governance, metadata management, or model lineage documentation.
• Familiarity with experimentation frameworks, A/B testing, or statistical modeling.
• Working knowledge of reinforcement learning, recommendation systems, or advanced NLP techniques.
Company:
Welcome to Financial Independence Group, or FIG Marketing. Founded in 1976, the company is headquartered in Cornelius, USA, with a team of 201-500 employees. The company is currently Growth Stage.