20 feb
Unosquare
Nuevo Casas Grandes
**About the Role**:We are looking for a **Senior Machine Learning / Backend Engineer** to join our team.
This role is ideal for someone with **deep expertise in Python, AWS infrastructure, and machine learning,**who thrives in an environment that demands scalability, automation, and rapid iteration.
You will play a critical role in building and optimizing data processing pipelines, integrating AI-driven solutions, and enhancing observability for image and ecommerce-related workflows.
**Key Responsibilities**:- Develop and maintain a serverless processing pipeline for image assets.- Enhance observability and tracking, adding metadata on image ownership and provenance.- Integrate ML models to compare and process images,
automating decision-making workflows.- Support ML experiments for improving image processing efficiency and accuracy.- Leverage AWS Bedrock for fine-tuning models.- Develop and maintain scalable infrastructure using AWS services like EC2, SQS, Lambda, S3, DynamoDb, Cloudwatch, RDS, Elasticsearch, and serverless computing.- Collaborate on improving data quality, data processing, and logging to ensure robust ecommerce data flows.- Design systems that are horizontally scalable, addressing increasing data complexity and load.- Build and optimize backend data pipelines using Python.- Implement observability and monitoring layers to track system performance and health.
**What You Bring**:- Strong backend engineering skills with a focus on **Python** and **AWS.
**:- Hands-on experience with **serverless architecture, S3, SQS, Lambda, and observability tools.
**:- Experience with **computer vision, OpenCV, and image processing workflows.
**:- Familiarity with notebooks for **ML iteration (Jupyter, Colab,
or similar)**.- Ability to work independently and iterate on models and backend infrastructure.
**We offer**:- 100% remote work.- Direct contract with Unosquare.- Creer path and growth opportunities.- Other benefits.
**Experience**:- Python: 5 years (required)- Computer Vision: 2 years (required)- AWS: 4 years (required)- OpenCV: 1 year (required)**Language**:- English (required)
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.