Job Description
- 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).