AI Engineer - OPS00033

Dev.Pro; São Paulo; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A global software development company in São Paulo seeks a skilled AI / ML Engineer to build and maintain scalable, production-ready AI systems on GCP. You will work closely with the Lead AI/Data Architect and contribute to high-impact solutions in image processing and metadata generation. The ideal candidate has over 2 years of experience with Python and cloud-based workflows, with strong communication skills. This position offers challenging projects and the chance to grow your expertise in modern AI tools.

Serviços

Opportunity to work on innovative projects

Collaborative team environment

Career growth opportunities

Qualificações

• 2+ years of hands-on experience with Python and cloud-based ML/data pipelines.
• Solid experience with Google Cloud Platform (GCP).
• Ability to write scalable, production-ready pipeline code.
• Understanding of image processing, embeddings, and metadata systems.

Responsabilidades

• Build and maintain AI and data pipelines on GCP.
• Implement image ingestion and metadata extraction pipelines.
• Write efficient, scalable Python code for ML and data workflows.
• Optimize pipeline cost, performance, and throughput.

Conhecimentos

Python

Google Cloud Platform (GCP)

Docker

Git

CI/CD workflows

Communication skills

Ferramentas

Vertex AI

Gemini APIs

Descrição da oferta de emprego

We are a US-based outsource software development company that has been delivering exceptional software experience to our clients since 2011, helping technology companies to become industry leaders.

Over the past few years, we’ve been hiring specialists all over the world while our main development centers were in Ukraine. Now, we keep expanding and start growing our centers in different parts of the world. Dev.Pro is open to hire specialists from other countries as well as Ukrainians who live outside of Ukraine now. We stand with Ukraine and keep supporting our people by offering a friendly remote environment while adhering to the values of democracy, human rights, and state sovereignty.

As a company of professionals, Dev.Pro offers challenging and interesting projects with world-leading clients, a modern technology stack, and career opportunities for both technical and non-technical specialists.

About this opportunity

We invite a skilled AI / ML Engineer to join our team. In this hands‑on role, you’ll build and maintain AI‑powered pipelines on GCP, creating scalable solutions for image analysis and metadata generation. You’ll work closely with the Lead AI/Data Architect to implement components, integrate APIs, and deliver production‑ready AI solutions at scale.

What's in it for you

• Build scalable, production‑ready AI systems for real‑world applications
• Grow your expertise in modern AI tools like Google Gemini 2.5 Pro and Vertex AI
• Collaborate closely with a fast‑moving, innovative team to deliver high‑impact solutions

Is that you?

• 2+ years of hands‑on experience with Python and cloud‑based ML/data pipelines
• Solid experience with Google Cloud Platform (GCP)
• Ability to write scalable, production‑ready pipeline code
• Understanding of image processing, embeddings, and metadata systems
• Familiarity with Docker, Git, and CI/CD workflows
• Strong communication skills and flexibility to align with U.S. time zones

Desirable

• Experience with Vertex AI and Google Gemini APIs, preferably Gemini 2.5 Pro
• Experience with Media & Entertainment workflows, media ingestion, and tagging standards

Key responsibilities and your contribution

In this role, you’ll build and maintain AI and data pipelines on GCP, implementing scalable solutions for image analysis and metadata generation.

• Implement image ingestion, preprocessing, and metadata extraction pipelines
• Integrate Gemini 2.5 Pro APIs for tagging and structured outputs
• Write efficient, scalable Python code for ML and data workflows
• Build and maintain services on GCP (Cloud Functions, Cloud Run, Pub/Sub, Cloud Storage, BigQuery, Vertex AI)
• Automate cataloging for large image datasets
• Optimize pipeline cost, performance, and throughput
• Implement testing, logging, monitoring, and CI/CD practices
• Deliver iterative, production‑ready outputs in weekly sprints