Data Scientist

• 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).