TCS - Artificial Intelligence Engineer - Machine Learning

Role & Responsibilities :

Programming Languages :

- Python (primary for AI/ML): TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy

- R (for statistical modeling)

- Optional: Java, C++, or Julia for performance-critical tasks

Machine Learning & AI :

- Supervised & Unsupervised Learning (classification, regression, clustering)

- Deep Learning (CNNs, RNNs, Transformers)

- Natural Language Processing (NLP): Tokenization, embeddings, LLM fine-tuning

- Generative AI: Prompt engineering, model deployment

Mathematics & Statistics :

- Linear algebra, calculus, probability, and optimization

- Statistical inference and hypothesis testing

Data Engineering & Preprocessing :

- Data cleaning, feature engineering, and handling large datasets

- Familiarity with PySpark or Spark MLlib for distributed ML

Model Deployment & MLOps :

- Containerization (Docker, Kubernetes)