Kira Studio · nan, · Hybrid
About the job
What can we expect from you?
Responsibilities
- Data AcquisitionDesign and implement efficient data scraping pipelines to extract data from a wide range of sources, including websites, APIs, and databases.
- Navigate complex data structures and handle various data formats, such as JSON, XML, and CSV.
- Data Cleaning and PreprocessingDevelop robust data cleaning processes to ensure data quality, consistency, and integrity.
- Apply advanced data preprocessing techniques to handle missing values, outliers, and inconsistencies in the collected data.
- Data TransformationTransform and structure the cleaned data into formats compatible with our LLMs, such as text, numerical, and categorical features.
- Optimize data representations to enhance the performance and accuracy of our AI models.
- Data IntegrationIntegrate the processed data into our existing data pipelines and storage systems, ensuring seamless data flow and accessibility.
- Collaborate with cross-functional teams to align data requirements and facilitate data-driven decision-making.
- Data Monitoring and MaintenanceContinuously monitor the data scraping pipelines to ensure data freshness, reliability, and scalability.
- Proactively identify and resolve data-related issues, such as data drift, inconsistencies, and performance bottlenecks.
- Educational BackgroundA bachelor's degree in Computer Science, Data Science, or a related field. Advanced degrees are a plus.
- Data Scraping ExpertiseExtensive experience in web scraping techniques, including using libraries like BeautifulSoup, Scrapy, and Selenium.
- Proficiency in handling dynamic web pages, authentication, and anti-scraping mechanisms.
- Data Preprocessing SkillsStrong knowledge of data cleaning, normalization, and feature engineering techniques.
- Familiarity with data preprocessing libraries like Pandas, NumPy, and scikit-learn.
- Programming ProficiencyExcellent programming skills in Python, with experience in data manipulation and analysis.
- Familiarity with SQL and NoSQL databases for data storage and retrieval.
- Problem-Solving AbilitiesStrong analytical and problem-solving skills, with the ability to tackle complex data challenges.
- Attention to detail and a meticulous approach to ensuring data quality and integrity.
- Communication and CollaborationExcellent communication skills to effectively collaborate with cross-functional teams and stakeholders.
- Ability to translate technical concepts and data requirements to non-technical audiences.
- Cutting-Edge TechnologiesWork with state-of-the-art LLMs and AI technologies to drive innovation and solve complex problems.
- Data-Driven CultureBe part of a data-driven organization that values evidence-based decision-making and continuous improvement.
- Collaborative EnvironmentCollaborate with a diverse team of experts, including data scientists, AI researchers, and domain specialists.
- Professional GrowthEnjoy opportunities for learning and professional development through training programs, conferences, and mentorship.
- Impactful WorkContribute to projects that have a significant impact on our organization's success and drive advancements in AI and data-driven solutions.
- Competitive CompensationReceive a competitive salary and comprehensive benefits package, reflecting the value you bring to our team.
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