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Machine Learning Engineer - Logistics Modernization

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelMore than 10 years
Education levelBachelor's Degree

Description

Job description We are seeking a Senior Machine Learning Engineer with solid experience in developing and operationalizing Machine Learning models to drive AI-powered logistics modernization at scale. This professional will be responsible for developing, deploying, and monitoring models in production, ensuring high performance, observability, and end-to-end governance. **Key Responsibilities:** Develop, train, and deploy Machine Learning models for logistics optimization, including route planning, demand forecasting, inventory management, and network optimization; Collaborate with Engineering and Operations teams to transition models from prototype to production; Establish experimentation and governance practices, including versioning, A/B testing, and performance tracking; Implement monitoring, alerts, and dashboards for models and data pipelines in production. **Qualifications:** Strong hands-on experience with Machine Learning, especially neural networks; Proficiency in TensorFlow or PyTorch; Solid software engineering knowledge, including code reviews, feature branching, and CI/CD; Experience with observability tools such as MLflow, Datadog, and/or Databricks; Ability to balance Machine Learning fundamentals with real-world production challenges; Advanced English proficiency for working in an international environment. Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within our workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. Who are we? Amaris Consulting is an independent technology consulting firm that provides guidance and solutions to enterprises. With over 1,000 clients worldwide, we have been implementing solutions in large-scale projects for more than a decade — made possible by an international team of 7,600 professionals across 5 continents and in over 60 countries. Our solutions focus on four distinct business lines: Information Systems & Digital, Telecommunications, Life Sciences, and Engineering. We are focused on building and nurturing a top-tier talent community where every member of our team can reach their full potential. Amaris is your “stepping stone” to cross rivers of change, tackle challenges, and successfully achieve all your goals.

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Posted by

João Silva

Indeed · HR

Location

João Silva

Indeed · HR

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