AI Engineer (Applied AI / Machine Learning)

The Opportunity

We are seeking an AI Engineer to help bring machine learning and generative AI capabilities into real-world products and platforms. You will work at the intersection of data, models, and systems to deliver scalable, production-ready AI solutions.

Role Summary

Develop and operationalize machine learning and generative AI solutions, with a focus on model integration, evaluation, and production readiness.

What You’ll Do

• Select, fine-tune (where needed), and integrate ML and foundation models into production systems
• Design and manage the end-to-end ML lifecycle (data, experimentation, deployment, monitoring)
• Build robust evaluation frameworks to ensure model quality and performance
• Apply relevant techniques in NLP, LLMs, or computer vision depending on domain
• Develop data pipelines, feature engineering workflows, and model serving infrastructure
• Optimize performance, cost, and scalability across cloud and compute environments
• Collaborate with cross-functional teams to deliver AI-powered features

Qualifications

• Bachelor’s or Master’s in AI, Computer Science, Math, or related field
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience deploying ML models into production environments

Core Competencies

• Machine Learning Development
• MLOps & Model Operationalization
• Data & Model Quality
• Experimentation & Evaluation
• Software Engineering
• Technical Communication