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Strong global brand, mid-level experience requirement, and broad AI/ML skillset make competition high.
Core ML/LLM and MLOps skills are transferable, though logistics domain experience is advantageous.
Explicit 2+ years plus mandatory ML, LLM, and MLOps tooling increases shortlisting strictness.
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Design, develop, and deploy AI/ML applications including integration of large language models to production-ready solutions.
Lead AI/ML technical decisions and contribute to Big Data architecture roadmaps within a product-oriented, Agile/DevOps team.
Provide mentorship and manage team performance, resolving multi-team challenges and collaborating across geographies and seniority levels.
Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field.
Minimum 2 years of experience as Data Scientist or Machine Learning Engineer.
Strong skills in advanced machine learning techniques, Python programming, and data visualization tools (Power BI, Tableau).
Fluent English (C1 level); Certifications related to AI/ML technologies preferred but not mandatory.
Experience working with petabyte-scale data and complex AI/ML pipelines in cloud environments (Azure, GCP) or on-premises.
Strong expertise in large language models, deep learning, and advanced AI techniques within logistics or similar domain.
Operates well in Agile/DevOps methodologies, with proven ability to lead technology decisions and cross-team collaborations in product-focused settings.