Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI): Building and deploying scalable machine learning models to automate industrial supply chain processes with an accent on end-to-end pipeline ownership, production model monitoring, and data scalability. Focus on designing high-impact ML solutions, mentoring team members, and refining ML infrastructure to drive efficiency in a high-growth environment.
Location: Remote-first, must be based in North or South America
Company
is a profitable, remote-first startup transforming the $10T global industrial supply chain industry through AI-driven automation.
What you will do
- Design, build, and maintain scalable machine learning models for logistics automation.
- Manage projects end-to-end, from data exploration to production deployment and monitoring.
- Collaborate with engineering teams to align ML features with customer business needs.
- Provide technical leadership, code reviews, and mentorship within the ML team.
- Evaluate and implement frameworks to enhance ML infrastructure and development workflows.
Requirements
- Senior-level experience in building and deploying production-grade machine learning models.
- Proven ability to design scalable data pipelines for large datasets.
- Strong proficiency in Python and ML frameworks like PyTorch, TensorFlow, or scikit-learn.
- Experience with data processing tools such as Pandas and Spark.
- Must be based in North or South America.
- Ability to work independently in a fast-paced, product-focused startup environment.
Nice to have
- Experience in high-growth startups or small, agile teams.
- Familiarity with MLOps practices and relevant tooling.
Culture & Benefits
- Remote-first, flexible work environment.
- Strong engineering culture prioritizing code quality and sustainable velocity.
- Opportunity to impact global supply chains and reduce industrial waste.
- Culture of ownership and collaboration with a diverse, high-performing team.
- Strong product-market fit in a critical, large-scale industry.
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