Senior Machine Learning Engineer

October 5, 2023

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Altana Technologies

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A Shared Source of Truth for the Global Supply Chain

AI • machine learning • tech • supply chain • global trade

51 - 200

Description

• Altana provides the world’s only dynamic, intelligent map of the global supply chain • Using AI and machine learning models to connect with and learn from massive sets of public and private data • Through the Altana Atlas, companies and governments can understand the distant origins of products well beyond their own direct suppliers • Backed by leading investors and used by the world’s most important organizations • Altana’s mission is to power a new era of globalization organized around trusted supply chain networks • Join a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact • Work with world-scale public and proprietary datasets pertaining to all aspects of global trade • Build sophisticated Machine Learning models that generate unique insights for customers • Incorporate generative AI into supply chain exploration and analytics workflows • Develop, deploy and continuously improve machine learning models • Build and maintain supportable, scalable and evolvable machine learning pipelines • Work in a cross-functional team with software engineers, data scientists, and product managers • Generate new business ideas and enhance product offerings • Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment • Keep up-to-date with the latest advancements in machine learning and artificial intelligence

Requirements

• BS degree in Computer Science, Data Science, or equivalent experience • Passionate about applying SOTA ML techniques to solve real-world applied problems • 10+ years of professional experience as a data scientist or machine learning engineer • Extensive experience with Python Machine Learning toolsets • Proven track record of ownership and delivery of projects with major organizational impact • Strong written and verbal communication skills • Nice to have experience in building and tuning large language models • Familiarity with prompt engineering and chain-of-thought prompting for LLMs • Experience in multi-modal ML on text and images, and text and structured features • Working knowledge of cloud services like AWS, Azure, or GCP

Benefits

• Remote or hybrid work • Comprehensive healthcare package • Paid parental leave of 3 months for the primary caregiver and 1 month for the secondary caregiver • Opportunities for personal and professional development • Learn from diverse backgrounds and perspectives • Impact the world by enabling developing countries and identifying drug traffickers • Commitment to inclusion across race and ethnicity, gender, sexual orientation, age, religion, physical ability, veteran status, and national origin