Data Engineer focused on Search ML/AI

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Empresa

Torre

Descripción de la Empresa

Un grupo de apasionados reclutadores centrados en compartir fantásticas oportunidades de trabajo remoto, encontrar los mejores talentos y reclutar para las mejores empresas de todo el mundo. Aquí puedes encontrar: - Empleos a tiempo completo - Trabajos a tiempo parcial - Proyectos freelance - Prácticas remuneradas y no remuneradas Bienvenido, ¡trabajemos juntos!

Provincia

Buenos Aires

Localidad

argentina

Tipo de Contratación

Tiempo Completo

Descripción de la Plaza

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 non-technical people.

- Develop and maintain scalable and high-performing software solutions using the specified tech stack.

- Architect and provide guidance on building data pipelines and lakes.

- Collaborate with cross-functional 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 large-scale 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 problem-solving and communication skills.

- Experience working in a small team startup environment.

- Experience working on or implementing e-commerce 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 full-text lexical search and/or semantic vector-based 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.

Mínimo Nivel Académico Requerido

Estudiante Universitario

Mínimo Nivel de Inglés Requerido

Nativo

Mínima Experiencia Laboral Requerida

1 año
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