Search, Ml/Ai, Data Engineer

PSC Industries; Mexicali; Presencial; MXN 1,122,000 - 1,684,000; Jornada completa

Descripción de la vacante

A leading technology firm in Mexicali is seeking an AI/Machine Learning Engineer to contribute to innovative AI solutions. The role involves participation in agile software development, building data transformations, and ensuring robust big data systems. Ideal candidates will have experience in the automotive industry and strong skills in data processing, along with a Bachelor's degree in Computer Science. This position offers an exciting opportunity to innovate and collaborate within a supportive team.

Formación

• Experience in automotive industry and automotive parts standards such as ACES and PIES.
• Experience with big data technologies (e.g., Airflow, Hadoop, Spark).
• Strong understanding of Git and CI/CD pipelines.
• Excellent ability to write efficient SQL queries.

Responsabilidades

• Participate in all aspects of agile software development.
• Collaborate with engineering to assess model performance.
• Develop and maintain scalable, high-performing software solutions.
• Monitor data processing and ML workflows.

Conocimientos

Problem-solving

Communication

Data ingestion

Big data technologies

Experience in automotive industry

Technical documentation

SQL

Git and CI/CD pipelines

Educación

Bachelor's degree in Computer Science

Herramientas

Elasticsearch

AWS

Airflow

Spark

Python

Descripción del empleo

Overview

Job Title: AI/Machine Learning Engineer
Job Location: Mexicali, Mexico
Department: Trimble Construction

Are you passionate about the foundational elements of machine learning and eager to contribute to innovative AI solutions within a supportive team environment? This role offers an exciting opportunity to begin a career in AI/ML engineering and contribute to a forward-thinking organization that is always pushing boundaries.

Responsibilities

• 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, multi-dimensional 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 custom data wrangling to transform customer datasets for processing by ML models
• Monitor data processing and ML workflows to ensure customer data is accurately processed, debugging and resolving issues as needed
• Generate data artifacts and analytics to assess the quality of AI workflow results
• Collaborate with engineering to assess model performance and improve results
• Collaborate with Product Engineering to resolve issues during deployment and onboarding
• Collaborate with Customer Success and Account Managers to maintain customer relationships and satisfaction
• Develop tooling and playbooks to streamline technical delivery activities
• Develop and maintain RAG & vector embeddings for AI and semantic search
• Establish solid design and engineering practices for engineers and non-technical stakeholders
• Develop and maintain scalable, high-performing software solutions using the specified tech stack
• Architect and guide data pipelines and lakes; collaborate with cross-functional teams to design and implement new features
• Ensure code quality through functional testing; troubleshoot and debug issues for smooth functionality
• Collaborate across time zones via Slack, GitHub, documentation, and videoconferences
• Stay up to date with industry trends and best practices

Required skills and qualifications

• Experience in the automotive industry and automotive parts standards such as ACES and PIES
• Experience in data analysis, data ingestion and ETL (Extraction, Transformation & Loading)
• Experience with big data technologies (Airflow, Hadoop, MapReduce, 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 startup environment
• Experience with e-commerce platforms or solutions
• Experience with AWS and cloud services
• Ability to write and maintain clear technical documentation
• Experience with search technologies (full-text lexical and/or semantic vector-based search)
• Strong understanding of Git and CI/CD pipelines
• Experience building SaaS dashboards with graphs for analytics and KPIs
• Experience working with RESTful and GraphQL APIs
• Knowledge of Python, R, or Rust
• Excellent ability to write efficient SQL queries; strong debugging and optimization skills

Preferred skills and qualifications

• Bachelor\'s degree in Computer Science