Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value.
Lead and execute end-to-end AI/ML projects — from data exploration and model development to validation, deployment, and monitoring in production.
Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and Generative AI.
Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking.
Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and solution reviews.
Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams.
Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement.
Requirements
6+ years of hands-on experience delivering enterprise-grade AI/ML solutions
Advanced proficiency in Python and SQL
Experience working with cloud platforms (Azure preferred) and tools such as ADF, Function Apps and Web Apps
Strong expertise in applied text analytics, NLP, and Generative AI with real-world deployment exposure
Solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production
Prior experience leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines
Scientific rigor, strong business acumen, and problem-solving skills
Bachelor's or master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field (PhD is a plus)
Prior understanding of the business domain of shipping and logistics is an advantage
Benefits
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