Senior Machine Learning Strategist

Bebeeartificial; Manaus; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology firm in Brazil is seeking a Lead AI Engineer to spearhead the design and deployment of scalable AI and machine learning solutions. The role includes architecting robust AI infrastructures and implementing intelligent automation for data-driven decision-making. Candidates should have hands-on experience with Generative AI, good proficiency in GCP, and advanced skills in Python. This role offers significant growth opportunities and collaboration with cross-functional teams, ensuring high-quality model performance in production environments.

Qualificações

• Hands-on experience with Generative AI, AI / ML, and Data Science.
• Proficient in GCP and its AI / ML ecosystem.
• Advanced Python skills for AI / ML development.

Responsabilidades

• Designing and deploying robust AI / ML infrastructure.
• Architecting scalable machine learning pipelines.
• Implementing intelligent automation.

Conhecimentos

Generative AI

AI / ML

Data Science

RAG-based solutions

GCP proficiency

Python

Ferramentas

Vertex AI

Google Gemini

Vector Search

Google ADK

LangChain

LangGraph

CrewAI

Descrição da oferta de emprego

Job Overview

The Lead AI Engineer role entails spearheading the design, development, and deployment of scalable machine learning and AI solutions. This encompasses building end-to-end ML pipelines, implementing intelligent automation, facilitating data‑driven decision‑making, and supporting enterprise‑level personalization initiatives.

Key Responsibilities

• Designing and deploying robust AI / ML infrastructure
• Architecting scalable machine learning pipelines
• Implementing intelligent automation and enabling data‑driven decision‑making
• Supporting enterprise‑level personalization initiatives

Required Skills and Qualifications

• Hands‑on experience with Generative AI, AI / ML, Data Science, and RAG‑based solutions
• Strong proficiency with GCP and its AI / ML ecosystem, including Vertex AI, Google Gemini, and Vector Search
• Experience with agent frameworks such as Google ADK, LangChain, LangGraph, and CrewAI
• Advanced skills in Python for AI / ML development

Benefits and Growth Opportunities

This role offers a unique opportunity to work closely with cross‑functional teams, architect robust AI / ML infrastructure, and ensure high‑quality model performance in production environments.