Leading Expert In Advanced Machine Learning Solutions

Bebeemachinelearning; Porto Alegre; Presencial; BRL 200.000 - 300.000; Tempo integral

Resumo da oferta

A technology firm in Porto Alegre is seeking a skilled professional to lead the development of innovative Machine Learning solutions. The ideal candidate will have extensive experience in applied ML, a relevant advanced degree, and a proven track record in deploying ML models at scale. Responsibilities include developing scalable ML solutions, analyzing data for insights, and mentoring junior staff. This position is perfect for someone passionate about building impactful solutions in a collaborative environment.

Qualificações

• 5+ years of industry experience in applied Machine Learning.
• 3+ years of experience building, deploying, and managing ML models.
• Deep understanding of ML best practices including A/B testing.

Responsabilidades

• Develop and deploy end-to-end Machine Learning models.
• Analyze large-scale datasets for insights.
• Collaborate with cross-functional teams on ML solutions.

Conhecimentos

Applied Machine Learning

Programming in Python

Data Engineering

Machine Learning frameworks

Big Data tools (Spark, Kafka)

Cloud platforms (AWS, GCP, Azure)

Formação académica

Master’s degree or PhD in relevant field

Ferramentas

NumPy

pandas

PyTorch

TensorFlow

Keras

Scikit-Learn

Descrição da oferta de emprego

Job Overview

We are seeking a highly skilled professional to lead the development and deployment of cutting‑edge Machine Learning solutions. This is an excellent opportunity for someone who combines strong technical expertise with leadership capabilities and a passion for building high‑impact solutions.

Responsibilities

• Develop and deploy end-to-end Machine Learning models to solve complex business problems.
• Write and maintain clean, efficient, scalable code following industry best practices.
• Analyze large‑scale datasets to extract insights and support data‑driven decision‑making.
• Apply state‑of‑the‑art ML methodologies, including deep learning and modern frameworks, to build robust models.
• Take ownership of key system components and influence the broader technical strategy.
• Collaborate with cross‑functional stakeholders to design deployable, production‑ready ML solutions.
• Mentor junior professionals, fostering team expertise and growth.
• Contribute to organizational technical leadership through patent filings and publications in top‑tier venues.

Required Skills and Qualifications

• 5+ years of industry experience in applied Machine Learning.
• A Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related field.
• 3+ years of experience building, deploying, and managing ML and deep learning models in production at scale.
• A deep understanding of ML best practices (A/B testing, pipelines, feature engineering, experiment design).
• Strong knowledge of algorithms and techniques such as gradient boosting, deep neural networks, transformers, and optimization methods.
• Experience in Computer Vision; experience in Causal Inference is highly desirable.
• Expertise with Python scientific libraries (NumPy, pandas, Polars) and ML frameworks (PyTorch, TensorFlow, Keras, Scikit‑Learn).
• Strong data engineering skills and comfort working with large-scale datasets.
• Experience with big data tools (Apache Beam, Kafka, Spark).
• Experience with cloud platforms: AWS, GCP, or Azure.
• Fluency in Python and SQL.

Preferred Qualifications

• PhD in CS, ML, AI, Statistics, OR, or related fields.
• Experience applying ML to real-world retail industry problems.
• Familiarity with modern MLOps tools and pipelines.
• An impact-driven mindset and commitment to delivering high-quality models.
• Demonstrated leadership capabilities with experience guiding or managing technical teams.