Senior Machine Learning Engineer

Pride Global; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology consulting firm seeks a Senior Machine Learning Engineer for a fully remote position in Brazil. The ideal candidate will have over 5 years of experience in applied machine learning, particularly in Pricing or Computer Vision. Responsibilities include developing ML solutions, mentoring junior staff, and collaborating with international stakeholders. This long-term role offers flexible hours and the opportunity to work on impactful ML systems.

Serviços

100% remote work

Long-term PJ contract

Flexible working hours

Qualificações

• 5+ years of industry experience in applied Machine Learning.
• Experience building, deploying, and maintaining ML/DL models in production at scale.
• Strong understanding of ML best practices (feature engineering, experiment design).

Responsabilidades

• Lead the development of Machine Learning solutions.
• Collaborate closely with Product and Engineering teams.
• Mentor junior team members.

Conhecimentos

Machine Learning experience

Fluent English

Python programming

Data engineering

Familiarity with ML libraries

Formação académica

Master's Degree or PhD in Computer Science or related field

Ferramentas

NumPy

Pandas

Scikit-learn

TensorFlow

Keras

PyTorch

Spark

Kafka

Apache Beam

Descrição da oferta de emprego

Overview

Senior Machine Learning Engineer (Pricing or Computer Vision) 100% Remote, Fluent English (required) Brazil-based | PJ Contract | Long-term

We are looking for a Senior Machine Learning Engineer to join our team on a long-term, fully remote PJ contract. This is a global environment with international stakeholders, and fluency in English is mandatory, as all communication and interviews are conducted in English.

This role is open to Brazil-based professionals with strong experience in Pricing / Optimization or Computer Vision, who are passionate about building and deploying production-grade ML systems that drive real business impact.

What you\'ll do

• Lead the development and deployment of Machine Learning solutions to solve complex business problems
• Own key components of ML systems, influencing technical direction and architectural decisions
• Develop clean, efficient, and scalable production-grade code
• Analyze large-scale datasets to generate actionable insights
• Apply state-of-the-art ML methodologies to build robust and scalable models
• Collaborate closely with Product, Engineering, and other stakeholders
• Mentor junior team members and help grow domain expertise within the team
• Contribute to the company\'s technical leadership through research, publications, or patents

Minimum Requirements

• 5+ years of industry experience in applied Machine Learning
• Master\'s Degree or PhD in Computer Science, Machine Learning, or a related field
• 3+ years of experience building, deploying, and maintaining ML / DL models in production at scale
• Strong understanding of ML best practices (feature engineering, A / B testing, experiment design, training & serving pipelines)
• Hands-on experience with ML algorithms and techniques (gradient boosting, deep neural networks, optimization, regularization)
• Experience in at least one of the following domains :
• Pricing / price estimation, personalization, recommender systems, computer vision, fraud detection & authentication, or marketing
• Strong Python skills and experience with scientific and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch)
• Solid data engineering experience with large-scale datasets
• Experience with Big Data tools such as Spark, Kafka, Apache Beam
• Experience with cloud platforms (AWS, GCP, or Azure)
• Proficiency in Python and SQL

Preferred Qualifications

• PhD in CS, ML, AI, or related field
• Experience applying ML to real-world business problems, preferably in retail or e-commerce
• Familiarity with MLOps tools and pipelines
• Strong sense of ownership, impact-driven mindset, and passion for high-quality ML solutions

Why join us

• 100% remote work (Brazil-based)
• Long-term PJ contract
• Flexible working hours aligned with Brazil time
• Opportunity to work on impactful ML systems in a global environment
• Strong technical ownership and growth opportunities