Data Engineer focused on Search ML/AI

hace 1 semana

Ciudad de México, Ciudad de México torre A tiempo completo
We're helping one of our clients, Web Shop Manager, hire for Data Engineer focused on Search, ML/AI.
"Empowering eCommerce success globally with advanced product data expertise and superior customer experience"

Compensation:
To be agreed upon.

Location:
Remote (for Argentina, México, Colombia and Brazil residents).

Skills:
Proficient in Big Data Technologies, AWS, ETL, Airflow, AWS Bedrock, Hadoop, Elasticsearch and Vector databases.

Responsibilities and more:

  • Participate in all aspects of agile software development, including design, implementation, and deployment.
  • Design, build and maintain data transformations efficiently and reliably for different purposes (e.g. indexing, reporting, growth analysis, multidimensional analysis).
  • Design, implement and maintain reliable, scalable, robust and extensible big data systems that support core products and business.
  • Design, develop and support data pipelines and workflows that integrate various sources of structured and unstructured data across our customers' landscape.
  • Assess and implement any customizations and custom data wrangling needed to transform customer datasets in a way that is best suited for processing by our ML models.
  • Monitor data processing and machine learning workflows to ensure customer data is successfully processed by our ML models, debugging and resolving any issues faced along the way.
  • Generate necessary data artifacts and analytics needed to assess the quality of results generated by different parts of the AI workflow to ensure they meet desired quality standards.
  • Collaborate closely with the engineering team to assess model performance and improve results as needed.
  • Collaborate closely with Product Engineering as needed to resolve any issues faced during customer deployment and onboarding.
  • Collaborate closely with Customer Success Managers and Account managers to maintain close customer relationships and ensure customer satisfaction.
  • Develop tooling and playbooks to streamline and automate key technical delivery activities to be repeatable and scalable.
  • Develop and maintain RAG & Vector embeddings for AI and semantic search.
  • Establish solid design and best engineering practice for engineers as well as nontechnical people.
  • Develop and maintain scalable and highperforming software solutions using the specified tech stack.
  • Architect and provide guidance on building data pipelines and lakes.
  • Collaborate with crossfunctional teams to design and implement new features.
  • Ensure code quality through functional testing.
  • Optimize applications for maximum speed and scalability.
  • Troubleshoot and debug issues to ensure smooth functionality.
  • Collaborate across time zones via Slack, GitHub comments, documents, and frequent videoconferences.
  • Stay up to date with industry trends and best practices.

Required skills and qualifications:

  • At least four years of experience in building largescale software applications.
Experience in the automotive industry and automotive parts standards such as ACES and PIES.

- ​​Experience in performing data analysis, data ingestion and ETL (Extraction, Transformation & Loading).

  • Experience with Big Data technologies (Airflow, Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.).
  • Experience with Elasticsearch & OpenSearch.
  • Experience with Vector Databases (Qdrant, Opensearch, Milvus).
  • Experience with AWS Bedrock & Q.
  • Excellent problemsolving and communication skills.
  • Experience working in a small team startup environment.
  • Experience working on or implementing ecommerce platforms or solutions.
  • Experience with AWS and cloud computing services.
  • Ability to write and maintain clear and concise technical documentation.
  • Experience in search technologies such as fulltext lexical search and/or semantic vectorbased search.
  • Strong understanding of Git and experience with CI/CD pipelines.
  • Experience building SaaS dashboards with graphs to display analytics and performance KPIs.
  • Experience working with RESTful and GraphQL APIs.
  • Knowledge of Python, R, Rust.
  • Excellent ability to write efficient SQL queries.
  • Excellent debugging and optimization skills.
  • Preferred skills and qualifications.
  • Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience.
  • Interest in learning new tools, languages, workflows, and philosophies.
  • Professional certification.


If you are a talented Data Engineer passionate about creating innovative solutions and thriving in a fast-paced startup environment, we would love to hear from you.

Please submit your resume, cover letter, and portfolio or GitHub showcasing your previous work.

Note:
This job description is for reference purposes only and is not an exhaustive list of responsibilities and qualifications.

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