SDE I - Python
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.