Overview
On Site
$80,000+
Full Time
Skills
GEN AI
ML
Data Scientist
LLMs & Diffusion Models
Prompt Engineering
RAG Pipelines
Vector Databases
MLOPS & Deployment
Python & PyTorch
TensorFlow
Data Manipulation & Analysis
Data Visualization
Deep Learning
Job Details
1. GenAI-Specific Skills:
- Understanding of GenAI Architectures:Knowledge of models like LSTMs, VAEs, and GANs is essential.
- Familiarity with LLMs and Diffusion Models:Understanding of popular GenAI models such as GPT, BERT, LLaMA, Claude, Stable Diffusion, and DALL E is important.
- Prompt Engineering:The ability to optimize prompts for GenAI models is crucial for effective results.
- RAG Pipelines:Knowledge of Retrieval-Augmented Generation (RAG) pipelines for incorporating external knowledge into GenAI models.
- Vector Databases:Understanding of vector databases used for storing and retrieving information relevant to GenAI models.
- MLOps and Deployment:Experience with MLOps and deployment frameworks like Docker, MLflow, Weights & Biases, and KServe is valuable for deploying GenAI models.
2. Data Science Skills:
- Programming: Proficiency in Python, PyTorch, and TensorFlow is necessary.
- Statistics and Probability: Understanding of statistical concepts and probability theory is important for data analysis and model evaluation.
- Data Manipulation and Analysis: Skills in data cleaning, preprocessing, and exploring data using various techniques.
- Data Visualization: Creating visualizations to communicate insights and findings from data.
- Machine Learning: Knowledge of machine learning algorithms, model training, and evaluation.
- Deep Learning: Understanding of deep learning architectures and techniques.
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