Web Scraper (Python and AI Expert)

UpworkPHNot specifiedexpertScore: 82
PythonWeb ScrapingCloudflareComputer VisionAI automationData ScrapingArtificial IntelligencePython Script
Summary Main Job Function ● AI & Machine Learning Development ○ Build, train, and optimize machine learning models using Vertex AI, TensorFlow, PyTorch, or scikit-learn. ○ Apply AI techniques to real-world use cases, including computer vision, predictive analytics, and automation. ● Data Collection & Processing ○ Design and implement data scraping solutions using tools such as Scrapy, or Selenium to gather structured and unstructured data from various online sources. ○ Clean, preprocess, and organize datasets for machine learning and analytics projects. ● Data Engineering & Analysis ○ Manage and query large datasets using BigQuery and SQL. ○ Create ETL pipelines to integrate and transform data from multiple sources. ● Application & API Development ○ Deploy AI/ML models into production and integrate them into web or mobile applications. ● Collaboration & Documentation ○ Work closely with cross-functional teams to deliver AI-powered features. ○ Prepare technical documentation and share knowledge with the team. ○ Regular updates on JIRA for the ticket progress. Qualifications ● Education: Bachelor’s degree in Information Technology, Computer Science, or related field. ● Technical Skills: ○ Proficiency in Python and related frameworks/libraries (TensorFlow, PyTorch, OpenCV, Pandas, NumPy, Scrapy, Selenium, etc.) ○ Strong background in Machine Learning and Data Scraping ○ Experience with Google Cloud Platform services, especially Vertex AI and BigQuery ○ Knowledge of Computer Vision tools and techniques ○ Experienced in JIRA for task management and issue tracking. ● Other Skills: ○ Strong analytical and problem-solving abilities ○ Good understanding of software engineering best practices ○ Works effectively in cross-functional teams (Stakeholders, PMs, QA, Data Engineers) ○ Open to learning new frameworks, tools, and approaches quickly ○ Can explain technical concepts clearly to both technical and non-technical audiences ○ Proactively identifies improvements and takes responsibility for deliverables ○ Ensures accuracy in coding, model outputs and data integrity ○ Can prioritize tasks effectively in fast-paced environments
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