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# AI/ML Engineer

- **Company:** Skyline Career LLC
- **Location:** United States (Remote available)
- **Salary:** $90,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Data Structures, Apache Hadoop, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Unstructured Data, Pytorch, Apache Spark, Deep Learning, Generative AI, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines, Docker
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=30f07c5b6836e11b

## About the Role

Do you have experience in Statistics?, Do you have a Master's degree?, * Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field

 * Strong programming skills in Python
 * Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
 * Knowledge of data structures, algorithms, and statistics
 * Experience with SQL, APIs, and cloud platforms like AWS, Azure, or GCP
 * Strong analytical and problem-solving skills

Preferred Skills

 * Experience with NLP, Generative AI, or Deep Learning
 * Familiarity with Docker, Kubernetes, and MLOps tools
 * Knowledge of big data technologies such as Spark or Hadoop
 * Experience deploying ML models in production environments

## Description

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will work with large datasets, build scalable ML pipelines, and collaborate with cross-functional teams to develop intelligent applications that solve real-world business problems., * Design, build, and deploy machine learning and AI models

 * Develop data pipelines and preprocess structured/unstructured data
 * Train, evaluate, and optimize ML algorithms for performance and accuracy
 * Work with large datasets using Python, SQL, and cloud technologies
 * Collaborate with data scientists, software engineers, and business teams
 * Implement deep learning, NLP, or predictive analytics solutions as needed
 * Monitor and maintain ML models in production environments
 * Research and apply the latest AI/ML technologies and best practices


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