As an AI Engineer, you will design, build, and deploy machine learning models and intelligent systems that drive our products. You’ll collaborate closely with data scientists, product teams, and software engineers to deliver AI solutions that are scalable, reliable, and innovative.

Key Responsibilities

• Develop, train, and deploy machine learning and deep learning models for production use.

• Collaborate on data collection, processing, and feature engineering for AI pipelines.

• Build scalable APIs and services to deliver AI capabilities within Magentic’s products.

• Optimize model performance for speed, accuracy, and efficiency in real-world scenarios.

• Stay current on the latest AI research and bring new ideas into our tech stack.

• Contribute to engineering best practices, code reviews, and technical documentation.

What We’re Looking For

• 3+ years of experience working on AI/ML systems in production environments.

• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, scikit-learn.

• Experience designing and deploying models using cloud platforms (AWS, GCP, or Azure).

• Solid understanding of data structures, algorithms, and software engineering principles.

• Experience with APIs, data pipelines, and model-serving infrastructure.

• Strong problem-solving and communication skills; ability to work cross-functionally.