About the Role We’re looking for an AI/ML Engineer to design, build, and deploy machine learning models that power real features used by our customers — not just experiments that stay in a notebook. You’ll work closely with product, data, and engineering teams to take AI from prototype to production.
What You’ll Do
- Design, train, and deploy machine learning models for [use case, e.g., recommendations, forecasting, automation]
- Build and maintain ML pipelines for data ingestion, training, and inference
- Monitor model performance in production and iterate based on real-world results
- Collaborate with engineering to integrate models into existing products and services
- Stay current with emerging AI/ML tools and evaluate where they create real value
What You’ll Need
- 3+ years of experience building and deploying ML models in production
- Strong Python skills; experience with frameworks like PyTorch, TensorFlow, or scikit-learn
- Familiarity with MLOps practices and cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)
- Solid understanding of data structures, statistics, and model evaluation
Bonus: experience with LLMs, vector databases, or generative AI applications