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# AI Engineer

- **Company:** Logicplanet, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Big Data, Computer Programming, Data Visualization, DevOps, Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Power BI, Tensorflow, SQL Databases, Tableau (Software), Google Cloud, Pytorch, Apache Spark, Scikit Learn, Information Technology, Data Management
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/8f778e49-e182-41b0-aeb1-4d29e4fb3bbd

## About the Role

* Proven experience in AI/ML engineering with a strong portfolio of projects.
 * Expertise in cloud platforms (AWS, Azure, Google Cloud) for deploying machine learning solutions.
 * Proficiency in SQL and NoSQL databases for data management and analysis.
 * Strong programming skills in languages such as Python, R, or Java.
 * Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit learn).

Preferred Skills:

 * Experience with big data technologies (e.g., Hadoop, Spark).
 * Familiarity with data visualization tools (e.g., Tableau, Power BI).
 * Knowledge of DevOps practices and CI/CD pipelines for machine learning.
 * Experience in natural language processing (NLP) or computer vision., * Bachelor's or master's degree in computer science, Data Science, or a related field.
 * 7 10 years of relevant experience in machine learning and AI engineering.
 * Strong analytical and problem-solving skills.
 * Excellent communication and teamwork abilities

## Description

We are seeking a highly skilled AI Engineer with a strong background in AI/ML engineering and expertise in cloud platforms such as AWS, Azure, and Google Cloud. The ideal candidate will be responsible for designing, developing, and deploying machine learning solutions that drive business value. This role requires a deep understanding of both SQL and NoSQL databases to manage and analyze data effectively., * Design, develop, and implement machine learning models and algorithms to solve complex business problems.

 * Deploy machine learning solutions on cloud platforms (AWS, Azure, Google Cloud) ensuring scalability and performance.
 * Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
 * Optimize and fine tune machine learning models for improved accuracy and efficiency.
 * Conduct data analysis and preprocessing to prepare datasets for training and evaluation.
 * Monitor and maintain deployed models, ensuring they perform as expected in production environments.
 * Stay updated with the latest advancements in AI/ML technologies and methodologies.
 * Document processes, models, and results to ensure knowledge sharing and compliance.