Develop and implement machine learning models and algorithms to support our program objectives
Collaborate with cross-functional teams including data science, software engineering, and product management to build predictive models, forecasting tools, and recommendation systems
Analyze, optimize and maintain existing machine learning models
Participate in data model and architecture design
Train and evaluate models using statistical methods
Troubleshoot and identify issues with data models and data pipelines
Qualifications:
Bachelor's or Master's degree in computer science, data science, statistics, or related fields
Minimum of 3 years of experience in machine learning and data analysis
Strong programming skills in Python, R, Tensorflow and prompt engineering
Experience in data modeling, data architecture, and data pipeline design
Experience with big data platforms such as Hadoop, Spark, and Hive
Experience in cloud platforms like AWS/Azure/GCP
Experience in NLP, computer vision, deep learning techniques
Excellent communication and collaboration skills
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