

Position Requirements
Minimum Education Required:Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or Engineering.
Advanced Python, advanced English, and strong knowledge of cloud technologies, dashboards, and Big Data.
Programming Languages and Databases:Python, R, SQL, NoSQL.
Tools and Platforms:Amazon SageMaker, GCP Vertex AI, Databricks, Kubernetes, MLflow, Docker, Flask, FastAPI
Data Visualization Tools:Tableau, Power BI.
Libraries and Frameworks:Scikit-learn, Keras, Pandas, NumPy, SciPy, TensorFlow, PyTorch.
Version Control and Deployment:Git, CI/CD.
Models and Techniques:Regression, Decision Trees, Clustering, Natural Language Processing (NLP), Neural Networks.
Big Data and ETL Technologies:Apache Spark, PySpark, Hadoop, Databricks, ETL
Develop and apply analytical models for data interpretation.Create data visualizations using tools such as Tableau and Power BI.Implement Machine Learning and Deep Learning techniques to solve problems.Collaborate with multidisciplinary teams to develop innovative solutions in Big Data
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