Design, develop, and maintain intelligent applications that leverage machine learning within an Azure Cloud environment.
Requirements
- Proficiency in Python with experience using ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or ML.NET.
- Strong understanding of machine learning concepts: supervised/unsupervised learning, model evaluation, and deployment.
- Proficiency in C-Sharp, C++, and JavaScript, with experience integrating AI/ML solutions into production systems.
- Experience with databases (e.g., PostgreSQL) and ORM frameworks (e.g., Entity Framework).
- Experience with full-stack development using frameworks such as React and .NET.
- Experience with MLOps practices including CI/CD pipelines for ML, model versioning, retraining automation, and monitoring.
- Experience deploying and scaling AI/ML applications in a cloud-native environment.
Responsibilities
- Design, develop, and optimize machine learning models for use cases such as classification, prediction, and anomaly detection.
- Build and maintain end-to-end ML pipelines, including data ingestion, preprocessing, training, validation, deployment, and monitoring.
- Integrate ML models into full-stack web applications using modern frameworks and cloud technologies.
- Develop and debug REST APIs and services for AI/ML model deployment.
- Document ML workflows, pipelines, and applications for both technical and non-technical audiences.
Other
- The role is primarily 100% onsite with the possibility for some remote work.
- The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
