The ML Engineer will be responsible for the design, development, training, and deployment of machine learning models. This role ensures that AI capabilities are production-grade, robust, and well-integrated with the company’s software stack.
What You’ll Be Doing
- Design, build, and train machine learning models using production-grade frameworks
- Translate AI product requirements into scalable model architectures
- Package models as APIs/microservices for product integration
- Build CI/CD pipelines for automated model training and release
- Evaluate model performance and handle versioning
What We’d Love To See
- Languages: Python, SQL
- Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
- 3–6 years of hands-on experience in applied machine learning and deploying models into production.
It’d Be Great If You Had
- Tools: MLflow, Docker, FastAPI, GitHub Actions
- Deployment platforms: GCP Vertex AI, AWS SageMaker
