Generative AI Engineer
Location
Bengaluru, Karnataka
Job Type
Full-time
Category
Computer Occupations
Posted
June 01, 2026
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)<...
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)<...