Cloud Platforms: Hands-on experience with Azure, AWS, or Google Cloud, especially their AI and machine learning services.
Programming: Proficiency in languages and frameworks like Python, Java, C#, and .NET.
Machine Learning & GenAI Frameworks: Strong knowledge of TensorFlow, PyTorch, Scikit-learn, SciPy, NumPy, Pandas, Hugging and other large language models.
NLP Techniques: Expertise in text preprocessing.
Web Technologies: Knowledge of Javascript, HTML, CSS, and ASP .NET.
Data Storage and Processing: Experience with Databricks, SQL, and NoSQL databases.
MLOps: Basic understanding of CI/CD tools (e.g., Azure DevOps, Jenkins), containerization (e.g., Docker, Kubernetes), and version control (e.g., Git).
Monitoring/Logging: Experience with tools like Prometheus, Grafana, and Azure Monitor.