Related skills
nlp sql python kubernetes mlops📋 Description
- Design, develop, fine-tune, and evaluate ML/DL/LLM models.
- Apply supervised, unsupervised, and NLP modeling techniques.
- Optimize model performance: accuracy, latency, scalability, cost.
- Build and improve MLOps pipelines for training, deployment, monitoring.
- Deploy AI apps in Azure, AWS, or GCP; containerization.
- Monitor production models; detect drift and remediation strategies.
🎯 Requirements
- Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
- 3+ years in AI/ML or data science delivering production solutions.
- Strong Python and SQL; building scalable ML/NLP workflows.
- Deep hands-on experience with ML, DL, NLP; Generative AI and LLMs.
- Data preprocessing, feature engineering, model validation.
- Cloud deployment (Azure, AWS, GCP); Docker and Kubernetes.
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