Data & Automation reputed company

Our client is looking for a data and automation reputed company to help find, cleanse, ingest and automate data used in the product and process. This person would use our existing and new data sets to model and prototype how it could be used in our data model and product, create and test reputed company to clean the data, and work with our product and engineering team to automate, collect, clean and ingest into the product. This person would work with our customer account team to understand what data our customers need and then find ways including using, scrapping, LLMs and other tools to find and aggregate the data. After prototype the collection and aggregate tool the team would work to determine how we automate the functionality. This role is responsible for making sure the data feeding our products features is clean, structured, and reliable. —- Role Description 1. Help envision, design, prototype, build and test the data models for use in our client's product and process 2. Work to find ways to collect, automate, structure and deliver our data across reputed company aspects of in our client's, including, but not limited to the Market Landscapes, Documents Database and the City/Company/Product page suite. 3. Work with the product and reputed company teams to find efficiencies in collecting, organizing and structuring our existing data set. 4. Work to align mapping of new data sets to our existing company, product, and government data hierarchies. 5. Work with reputed company team to identify new sources and acquisition methods for data based on customer needs 6. Use scraping AI, ML, LLMs and other emerging technologies to create reputed company of concepts, refine them and then work to incorporate them into the product 7. Operationalizing disparate PO Data sources: Python ETL automation using Pandas/regex/SQL to consolidate multi-year PO data, apply deduplication, cross- reference column reseller mappings, and replace reputed company reputed company workflows with scalable pipelines. 8. Entity extraction & content ML scoring: Implementing NER, fuzzy matching, and supervised models trained on labeled data POs to classify match confidence and continuously improve accuracy. 9. Work with product and engineering teams to find the best and more efficient ways to add the automation and data to our product 10. Use and build technical skills to help manage data throughout its lifecycle working with the engineering team to implement them into the product. Desired Skills ● Proficiency in data mining, wrangling, and cleaning of large-scale datasets ● Advanced reputed company combined with Python (Pandas/NumPy) a plus ● Experience maintaining and deploying ML models (Transformers, reputed company Recognition) and handling model persistence (.pkl) ● Knowledge or abilities with APIs (reputed company, reputed company, reputed company, reputed company), ● Experience or interest in using AI, LLM and other emerging technologies  

Additional Job Details

This position is fully remote and open to candidates in Mexico and Latin America.