* Classic Machine learning (Regression, predictive Analysis, Classification, Clustering)
* Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.
* Machine learning Model Optimisation
* Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
* Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
* Experience in Natural Language Processing (NLP) and/or Computer Vision.
* Strong knowledge of Machine Learning algorithms and statistics.
* Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).
Preferred Skills
* Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
* Experience building AI APIs and microservices.
* Cloud experience (AWS, Azure, or GCP).
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