AI Engineer

✔️ Design, build, and deploy AI/ML models for real-world business applications.

✔️ Work with Python, TensorFlow, PyTorch, Scikit-learn, and NLP libraries.

✔️ Develop end-to-end machine learning pipelines including data ingestion, cleaning, modeling, and deployment.

✔️ Integrate AI models with applications using APIs, microservices, or cloud-based deployments.

✔️ Optimize model accuracy, performance, and inference speed.

✔️ Build scalable MLOps workflows using Docker, Kubernetes, and CI/CD tools.

✔️ Work with structured, unstructured, and big data sources for AI training.

✔️ Develop automation tools and scripts to streamline ML workflows.

✔️ Monitor deployed models for drift, degradation, and prediction accuracy.

✔️ Research and experiment with new ML algorithms and emerging AI technologies.

✔️ Collaborate with Data Engineers to improve data pipelines and feature engineering.

✔️ Document AI architectures, experiments, datasets, and performance benchmarks.

✔️ Work closely with product teams to incorporate AI into business solutions.

✔️ Implement model governance, explainability, and responsible AI practices.

✔️ Conduct A/B testing to evaluate the impact of AI features.

✔️ Ensure compliance with security, privacy, and data protection policies.

✔️ Maintain model versioning, lifecycle management, and reproducibility.

✔️ Build real-time prediction systems for dashboards and applications.

✔️ Perform hyperparameter tuning and model optimization.

✔️ Provide technical leadership on AI strategy and innovation.