Advanced Ai Solutions Lead

Bebeemachinelearning; Porto Alegre; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology firm in Porto Alegre is seeking a Senior Applied Scientist to lead advanced Machine Learning solutions. This role involves developing and deploying models, collaborating with diverse teams, and mentoring junior scientists. The ideal candidate will have over 5 years of Machine Learning experience, a relevant advanced degree, and strong expertise in Python and data engineering. Join us to make a significant impact in a collaborative work environment that values growth and innovation.

Serviços

Dynamic work environment

Collaborative teams

Ongoing training

Competitive salary and benefits

Qualificações

• 5+ years of industry experience in applied Machine Learning.
• 3+ years transforming ML models into production systems.
• Fluency in Python scientific libraries like NumPy and pandas.

Responsabilidades

• Develop and deploy Machine Learning models for business solutions.
• Mentor junior scientists to improve team capabilities.
• Analyze large datasets for data-driven insights.

Conhecimentos

Machine Learning

Deep Learning

Python

SQL

Data Engineering

Computer Vision

Formação académica

Master's degree or PhD in Computer Science, Machine Learning, or related field

Ferramentas

PyTorch

TensorFlow

Apache Beam

Spark

Descrição da oferta de emprego

Senior Applied Scientist Job Description

We are seeking a highly skilled Machine Learning Expert to lead the development and deployment of advanced solutions. This is an excellent opportunity for someone who combines strong technical expertise with leadership capabilities and a passion for building high‑impact solutions. The successful candidate will influence the technical direction of the team, collaborate closely with Product and Engineering partners, and drive innovation across data‑driven initiatives.

Responsibilities

• Lead end-to-end development and deployment of 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‑informed 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 scientists and engineers, fostering team expertise and growth.
• Contribute to organizational technical leadership through patent filings and publications in top‑tier venues.

Requirements

• 5+ years of industry experience in applied Machine Learning.
• 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.
• 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.

What We Offer

• A dynamic work environment with opportunities for growth and development.
• Collaborative teams with experts from diverse backgrounds.
• A competitive salary and benefits package.
• Ongoing training and education opportunities.
• The chance to make a meaningful impact on our business.