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Remote Algorithm Engineer Jobs in North Carolina

galore staffing

... programming, and basic algorithms. - Familiarity with cloud environments and innovation ... hours and remote work options. Employer Details Galore Creative Staffing offers competitive ...

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... A solid foundation in computer science, with competencies in data structures, algorithms, and ...

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Remote Algorithm Engineer information

What is a remote algorithm engineer?

A Remote Algorithm Engineer is a professional who designs, develops, and optimizes algorithms for various applications, such as data analysis, machine learning, or software development, while working from a remote location. This role involves solving complex problems, collaborating with team members online, and implementing efficient solutions to improve system performance. Remote Algorithm Engineers often work in industries like technology, finance, healthcare, and more, utilizing programming languages and mathematical concepts to create effective algorithms.

What are the key skills and qualifications needed to thrive as a remote algorithm engineer?

To thrive as a Remote Algorithm Engineer, you need a strong background in computer science, mathematics, and algorithm design, often supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with version control systems and cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and clear communication skills are essential for excelling in a remote environment. These skills ensure the engineer can develop efficient solutions, collaborate effectively with distributed teams, and deliver high-quality work independently.

What are some common challenges faced by remote algorithm engineers, and how can they be addressed?

Remote Algorithm Engineers often face challenges such as effective communication with distributed teams, managing their own schedules, and ensuring seamless integration of their work with larger systems. To address these, it's important to leverage collaborative tools (like code repositories, project management platforms, and video conferencing), maintain clear and regular communication with colleagues, and participate in code reviews and design discussions. Establishing a structured routine and proactively seeking feedback can also help in staying aligned with project goals and team expectations.

What are the most commonly searched types of Algorithm Engineer jobs in North Carolina?

The most popular types of Algorithm Engineer jobs in North Carolina are:

What are popular job titles related to Remote Algorithm Engineer jobs in North Carolina?

For Remote Algorithm Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Algorithm Engineer jobs in North Carolina look for?

The top searched job categories for Remote Algorithm Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Algorithm Engineer jobs?

Cities in North Carolina with the most Remote Algorithm Engineer job openings:

Remote Algorithm Engineer jobs near you

SS Hackathon - AI Developer / AI Engineer

Concord, NC • On-site, Remote

NEOGOV - Test
See more jobs at NEOGOV - Testexternal

Full-time

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).

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