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Remote Machine Learning Ops Engineer Jobs in North Carolina

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

The engineer applies deep learning technologies to enable computers to visualize, learn, and ... Develop and implement AI and machine learning strategies across several healthcare domains

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... Work closely with data engineering and ML Ops functional roles to operationalize data science ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... Work closely with data engineering and ML Ops functional roles to operationalize data science ...

New

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics. * Drive execution ...

AI Software Engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

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 ...

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Remote Machine Learning Ops Engineer information

What are the most commonly searched types of Machine Learning Ops Engineer jobs in North Carolina? The most popular types of Machine Learning Ops Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Machine Learning Ops Engineer jobs? Cities in North Carolina with the most Remote Machine Learning Ops Engineer job openings:

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC • On-site, Remote

Other

Medical, Dental, Vision, Retirement

Re-posted yesterday


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).