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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Edi Architecture Inc - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $101,359.0 - $122,066.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Software as a Service, Cloud Computing, Computer Programming, Continuous Integration, High-Level Architecture, Python (Programming Language), Machine Learning, NumPy, Recommender Systems, Tensorflow, Azure Machine Learning, Data Processing, Feature Engineering, Pytorch, Apache Spark, Deep Learning, Reliability of Systems, Backend, Keras, Pandas, Containerization, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Docker, Unsupervised Learning - **Published:** June 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0d1c937153867963 ## About the Role Do you have experience in Unsupervised learning?, Do you have a Bachelor's degree?, * 2-6 years of professional experience in AI, machine learning, or related roles., * Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related quantitative field. Programming * Strong proficiency in Python. * Experience with ML/DL frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Machine Learning Knowledge * Solid understanding of supervised and unsupervised learning, deep learning, and evaluation metrics. * Experience with NLP, computer vision, or recommendation systems is a plus. Data & Tools * Experience working with SQL and large datasets. * Familiarity with data processing libraries such as Pandas, NumPy, and Spark. Communication * Strong verbal and written communication skills with the ability to explain AI concepts to non-technical stakeholders. Preferred Qualifications * Master's or Ph.D. in AI, Machine Learning, or a related field. * Experience with cloud platforms (AWS, Azure, or GCP) and cloud-based ML services. * Familiarity with MLOps tools (MLflow, Kubeflow, Airflow). * Experience with model versioning, CI/CD, and containerization (Docker, Kubernetes). * Prior experience in EdTech, SaaS, or large-scale AI systems. * Proven experience taking AI/ML models from research to production. Job Type ## Description We are seeking a motivated AI / Machine Learning Engineer with 2-6 years of experience to join our on-site team in Tempe. The ideal candidate has strong experience in machine learning, deep learning, and model deployment, along with a passion for solving real-world problems using AI. You will work closely with data scientists, software engineers, and product teams to develop and productionize AI-driven features across our platforms., Model Development * Design, build, train, and optimize machine learning and deep learning models for educational use cases such as personalization, recommendation systems, content classification, and student performance prediction. Data Processing * Clean, preprocess, and analyze structured and unstructured datasets. * Perform feature engineering to improve model performance. Deployment & MLOps * Deploy machine learning models into production environments. * Monitor model performance, data drift, and accuracy, and retrain models as needed. AI Research & Innovation * Stay current with the latest AI/ML research and technologies. * Experiment with new algorithms, architectures, and tools to improve system performance. Collaboration * Work with cross-functional teams including product, backend, and data teams to integrate AI solutions into applications. * Translate business and product requirements into scalable AI solutions. Documentation & Improvement * Document model architectures, experiments, and deployment processes. * Continuously improve AI pipelines, workflows, and system reliability. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Vectorize all the things! 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