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Internship role focused on designing, developing, and implementing machine learning models to address business problems and support production environments. Collaboration with cross-functional teams and focus on continuous learning and technological advancements included.
Job Responsibility:
Design, develop, and implement machine learning models and algorithms to solve complex business problems
Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into products
Preprocess and analyze large datasets to extract meaningful insights and prepare data for modeling
Optimize and fine-tune machine learning models to enhance performance, accuracy, and efficiency
Conduct experiments and evaluate various machine learning techniques to identify the best approaches for specific use cases
Develop and maintain scalable ML pipelines and infrastructure for deploying models in production environments
Stay updated with the latest advancements in machine learning, artificial intelligence, and related technologies
Write clear, maintainable code and create comprehensive documentation for ML models and processes
Monitor and troubleshoot deployed models, ensuring they perform as expected in real-world settings
Communicate findings, progress, and results to stakeholders through reports, presentations, and visualizations
Requirements:
Enrolled in University
Knowledge about Machine Learning, Deep Learning and Gen AI
Additional skills include Accountability, Action Planning, Active Learning, Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity, Long Term Planning, Managing Ambiguity, Office Administration, Policy and Procedures, Recordkeeping, Risk Assessment, Service and Support Planning
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