Related skills
nlp python tensorflow pytorch mlops📋 Description
- Build scalable NLP and ML models in a cross-functional data team
- End-to-end production pipelines; not just modeling
- Define ML approaches; build data and model pipelines
- Test, validate, deploy, and monitor ML solutions for impact
- Optimize models for production throughput and uptime
- Automate deployments, testing, and monitoring (MLOps)
🎯 Requirements
- 2+ years in ML Engineer or Algorithm Engineer role
- Expert-level Python with production-grade ML code
- Solid ML concepts: training, evaluation, optimization
- Experience with PyTorch or TensorFlow; related libraries
- Familiarity with MLOps: MLflow, Kubeflow, or AWS SageMaker
- Strong problem-solving and collaboration; good communication
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