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3 days ago
We are seeking a highly skilled Data Science Engineer to join our team. The ideal candidate will have hands-on experience in SAS to Python conversions, strong mathematics and statistics skills, and expertise in AI-specific utilities.
Key Responsibilities:- Responsible for SAS to Python code conversion.
- Develop and deploy cloud-based applications, including LLM/GenAI, into production.
- 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.
- 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.
- Basic knowledge of Spark, Hive.
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