We're hiring a Machine Learning Engineer to build, train, and deploy models for client data science and automation projects.
Responsibilities:
- Build and evaluate ML models for classification, forecasting, and NLP use cases
- Deploy models to production using cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML)
- Build data pipelines to support model training and monitoring
- Collaborate with AI consultants to translate business requirements into technical solutions
Requirements:
- 3-5 years building and deploying ML models in production
- Strong Python skills (pandas, scikit-learn, PyTorch or TensorFlow)
- Experience with at least one major cloud ML platform
- Understanding of MLOps practices (versioning, monitoring, retraining pipelines)
Skills
Python
PyTorch
MLOps
Cloud ML (AWS/GCP/Azure)
Data Pipelines