Machine Learning Engineer
3 weeks ago
About the Role:
We are seeking an experienced AI/ML engineer who will collaborate closely with cross-functional teams to develop and deploy AI/ML-powered features and tools.
Main Responsibilities:
- Pioneering cutting-edge AI/ML solutions to enhance end-to-end logistics processes.
- Collaborating seamlessly with cross-functional teams to craft machine learning algorithms.
- Establishing efficient data pipelines that serve as the lifeblood of our machine learning models.
- Crafting, training, and fine-tuning machine learning models using a diverse array of tools and frameworks.
- Curating and curating data sets by collecting, cleansing, and preprocessing data.
- Spearheading feature engineering efforts to identify and select pertinent features.
- Employing a thoughtful approach in the selection of machine learning algorithms and techniques.
- Designing and executing robust evaluation methodologies to gauge the effectiveness of machine learning models.
- Implementing the deployment of machine learning models into production environments.
Requirements:
- Bachelor's degree (or equivalent) in computer science, mathematics, or a related field.
- 5+ years of dedicated AI/ML and NLP experience.
- Demonstrated expertise in designing and creating AI/ML models for ranking and recommendation systems.
- Experience with Graph-based algorithms and infrastructure.
- Exceptional communication and collaboration aptitudes.
- An innovative mindset with a fervor for continuous skill development.
- Outstanding problem-solving and analytical capabilities.
- Proficient coding skills (Python, Java, C#, etc.).
- Familiarity with data structures, data modeling, and software architecture.
About Marken:
Marken is a wholly owned subsidiary of UPS and is a critical part of UPS Healthcare.
We offer a state-of-the-art GMP-compliant depot network and logistic hubs for clinical drug product storage and distribution worldwide.
We support cell and gene therapy logistics services from clinical to commercial, while maintaining the leading position for Direct-to-Patient and Home Healthcare services, biological sample shipments, and biological kit production.
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