Job Description & How to Apply Below
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):
Tensor Flow, PyTorch, Scikit-learn, Pandas, Num Py
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 Sage Maker, Azure ML, or GCP AI Platform
Experience with data lakes and data warehouses
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