AI Technician
2 weeks ago
Roles & Responsibilities
Key Responsibilities:
Model Development: Assist in building, training, and optimizing machine learning models using frameworks like TensorFlow and PyTorch. Data Preparation: Collect, clean, and preprocess data, performing exploratory data analysis (EDA). Model Training & Evaluation: Train models, evaluate their performance, and fine-tune them under supervision. Research & Experimentation: Experiment with new algorithms and techniques, and stay updated on AI trends. Deployment & Integration: Help deploy models into production environments and integrate them into applications. Documentation & Reporting: Document processes and create reports or visualizations on model performance. Collaboration: Work closely with senior engineers and teams to solve real-world AI problems.Required Skills:
Programming: Python (TensorFlow, PyTorch, Pandas, NumPy). Machine Learning Basics: Familiarity with ML algorithms and concepts. Mathematics & Data Analysis: Understanding of statistics, algebra, and data manipulation. Soft Skills: Curiosity, willingness to learn, collaboration, and problem-solving abilities.Ideal Candidate:
Education: Background in computer science or related fields. Experience: Project-based or internship experience with AI/ML frameworks. Learning Mindset: Passion for AI and a willingness to grow and learn on the job.This scope focuses on foundational skills, learning potential, and hands-on AI experience.
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