Job Description:
- Hands-on experience working with SAS to Python conversions.
- Strong mathematics and statistics skills.
- Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
- Ability to understand business requirements.
- Use case derivation and solution creation from structured/unstructured data
- Storytelling, Business Communication, and Documentation
- Programming Skills SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras
- Exploratory Data Analysis
- Machine Learning and Deep Learning Algorithms
- Model building, Hyperparameter tuning, and Model performance metrics
- MLOps, Data Pipeline, Data Engineering
- Statistics Knowledge (Probability Distributions, Hypothesis Testing)
- Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
- ML services from Clouds such as AWS, GCP, Azure, and Databricks
- Optional - Databricks, Big Data -Basic knowledge of Spark, Hive
Roles & Responsibilities:
- Responsible for SAS to python code conversion.
- Acquire skills required for building Machine learning models and deploy them for production.
- Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills
- Develop and deploy cloud-based applications, including LLM/GenAI, into production.
