Responsibilities: Develop and deploy AI/ML models using Python. Work on data preprocessing, feature engineering, and model training. Build and integrate APIs for AI-based applications. Collaborate with cross-functional teams to deliver AI-driven solutions. Optimise model performance and scalability. Stay updated with the latest trends in AI/ML. Requirements: Strong proficiency in Python. Hands-on experience with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn). Understanding of machine learning algorithms (supervised/unsupervised learning). Experience with data handling using Pandas and NumPy. Knowledge of APIs and backend integration (Flask/Django). Basic understanding of statistics and data structures. Good to Have: Experience with deep learning and NLP. Familiarity with generative AI / LLMs. Knowledge of cloud platforms (AWS, GCP, Azure). Experience with MLOps tools and deployment pipelines. Exposure to Docker/Kubernetes.
