AI/ML Engineer

Job Title: AI / Machine Learning Engineer

At Edurech Technology, we are redefining education through intelligent, data-driven learning platforms. By leveraging artificial intelligence and machine learning, we build personalized, adaptive, and scalable solutions that enhance learning outcomes for students and educators worldwide. We are looking for a skilled AI / Machine Learning Engineer to help design, build, and deploy intelligent systems that power the future of education.

Job Summary

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.

Key Responsibilities

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.

Required Qualifications & Skills

Experience

• 2–6 years of professional experience in AI, machine learning, or related roles.

Education

• 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

Full-time

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Relocation assistance
• Tuition reimbursement
• Vision insurance

Work Location

In person

Job Type: Full-time

Pay: $101,358.61 - $122,066.28 per year

Work Location: In person