Generative AI Engineer

Role:- Generative AI Engineer

Exp:-05 to 12yrs

Location:-Bengaluru

Mode of Interview:- Virtual

Date of Interview:-6th June

Responsibilities:-

• Programming Languages o Python (primary for AI/ML): TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy
• R (for statistical modeling)
• Optional: Java, C++, or Julia for performance-critical tasks 2. 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)
• CI/CD for ML pipelines
• Model monitoring and retraining strategies Big Data & Cloud Platforms AWS SageMaker, Azure ML, or GCP AI Platform
• Experience with data lakes and data warehouses