Lead Data Engineer in Patexia

Patexia, a forward-thinking technology company specializing in intellectual property and patent solutions, is in search of a Lead Data Engineer to join our remote team. As a Lead Data Engineer, you will drive the utilization of advanced NLP tools and AI technologies to solve intricate challenges in entity resolution and patent data analysis.

Key Responsibilities:

1. Spearhead prompt engineering initiatives, leveraging OpenAI's ChatGPT, to address complex challenges in text processing effectively.
2. Utilize data engineering expertise, focusing on Google Cloud Platform (GCP) tools like BigQuery (BQ) and Google Cloud Storage (GCS), to ensure efficient data storage and retrieval.
3. Lead cross-functional teams in understanding project requirements, devising innovative solutions using NLP tools, and ensuring project success.
4. Seamlessly transition between Data Scientist, Data Analyst, and Data Engineer roles based on project demands.
5. Manage databases (SQL/NoSQL) for data management purposes and undertake essential data engineering tasks as required.
6. Articulate technical findings clearly and effectively communicate complex concepts to non-technical stakeholders.
7. Stay updated on the latest advancements in NLP technologies, evaluate their relevance to ongoing projects, and drive continuous innovation.

8. Document solutions comprehensively and actively contribute to knowledge sharing within the team.

    

Qualifications & Skills:

Must-Have:

1. Proven experience in prompt engineering, with a strong emphasis on OpenAI's ChatGPT.
2. Proficiency in data engineering, demonstrated through hands-on experience with GCP tools (BQ, GCS).
3. Solid understanding of NLP concepts and methodologies.
4. Ability to transition between Data Scientist, Data Analyst, and Data Engineer roles seamlessly.
5. Strong analytical abilities and adept problem-solving skills.
6. Excellent written and verbal communication skills.
7. Self-motivated and capable of working both independently and collaboratively within a remote team environment.

Good-to-Have:

1. Familiarity with advanced NLP techniques such as Regression Analysis, BERT, LLaMa, Transformers, and LSTM.
2. Experience with BigQuery Machine Learning (BQ ML) and vector databases.
3. Knowledge of Google Dataflow and Google Dataproc for data processing tasks.

We are particularly interested in candidates who have experience leading engineering teams and a track record of successfully implementing solutions on projects similar to our tech stack: React, Next.js, TypeScript,  PHP, Python, GCP.