A supervisory role focused on maintaining compliance with US Customs Brokerage Regulations, specifically Section 321 and Type 86, while managing team performance and development.
Compensation
$70,000 - $90,000
Responsibilities
Works to maintain full compliance and adherence with US Customs Brokerage Regulations for Section 321, Type 86 Compliance in Air and Ocean
Monitors and ensures team performance is in line with SEKO’s compliance policy and department goals
Provides clear instruction to team to ensure timely and orderly file flow including release, billing, and auditing
Monitors problem files and ensures corrective action implemented as needed in conjunction with bonded CFS
Responsible for staying updated in all business and legislature changes surrounding Section 321
The Export Compliance Manager is responsible for leading and administering all export compliance activities for the assigned site, ensuring adherence to U.S. export regulations and company policies.
Compensation
Salary range: $131,729.30 - $163,399.80 Several factors contribute to actual salary, including experience in a similar role or performing comparable job responsibilities, skills, training, and other qualifications.
Responsibilities
Lead and administer all export compliance activities for the assigned site
Ensure strict adherence to U.S. export regulations and company policies
Oversight licensing, documentation, internal controls, training, auditing, and issue resolution
Conduct export jurisdiction and classification determinations
Review engineering change orders (ECOs) and product modifications for compliance impacts
Requirements
BA/BS or equivalent experience
Nice to have: MBA
Nice to have: Export compliance experience in aerospace and defense industry
Lead advanced analytics workstreams focused on core restaurant operations, guest experience, and business performance.
Compensation
A reasonable estimate of the current base pay range for this position is $133,000.00–$187,000.00. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors.
Responsibilities
Lead advanced analytics workstreams focused on core restaurant operations, guest experience, and business performance.
Develop and evolve Voice of the Guest analytics by integrating internal surveys, external restaurant reviews, Customer Care contacts, digital feedback, and other guest sentiment data sources.
Analyze structured and unstructured data using relevant analytical techniques, including natural language processing, clustering, regression modeling, classification, optimization, and other statistical or machine learning methods.
Synthesize insights across multiple datasets—including first- and third-party data—to identify trends, explain performance drivers, and uncover opportunities.
Influence key stakeholders across Operations, Digital, Marketing, Finance, and Restaurant Experience by connecting guest feedback insights to business decisions, strategic priorities, and measurable outcomes.
Requirements
Bachelor’s Degree in a quantitative, analytical, or business-oriented field
Lead and coordinate naval architecture and newbuilding project activities from concept through delivery, managing multidisciplinary engineering work and driving design reviews, approvals, and trade‑off studies for Maersk’s next‑generation vessels.
Responsibilities
Lead naval architecture and newbuilding project activities from concept development and specification through detailed design, construction and delivery.
Plan, coordinate and follow up engineering activities, interfaces, risks and decisions across project teams, shipyards and site offices.
Drive design reviews, plan approval topics, technical evaluations and trade‑off studies with internal and external partners.
Continuously challenge how we can make our vessels safer, smarter, more efficient and more sustainable.
Translate technical analyses into clear recommendations that enable well‑informed decisions.
Requirements
Bachelor's or higher degree in Naval Architecture
Nice to have: Experience with shipyards during newbuilding design and construction
Develop and deliver AI solutions, manage roadmap, pilot and production releases, evaluate datasets, provide user guidance and support multilingual operations.
Compensation
Competitive Salary: RM 4,000 - RM 5,000
Responsibilities
Develop AI delivery roadmap with use cases, data dependencies, business owners, baselines and acceptance criteria
Test pilots and production releases for agreed priority initiatives, supported by reusable integrations and documented operating procedures
Create evaluation datasets, monitoring dashboards and benefit reports showing quality, adoption, operating cost and operational impact
Provide user guidance, technical handover and a feedback loop that improves recommendations, knowledge and forecasts after deployment
Seeking a backend-focused ML Engineer with hands-on experience shipping ML-powered features in production to build infrastructure and services for personalized experiences.
Compensation
base salary for this role will be $205k - $235k
Responsibilities
Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
Integrate and orchestrate ML models and third-party ML APIs (e.g., LLM providers, recommendation engines, embeddings services) into production systems
Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
Own the reliability, performance, and scalability of ML-adjacent backend systems
Lead and deliver analytics projects, develop data science solutions, and advocate data science practices across Visa's global markets.
Responsibilities
Manage and deliver analytics projects from conception to completion
Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques
Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients
Enhance existing analytic techniques by promoting new methodology and best practices in analytics
Develop metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions
Requirements
Bachelor’s degree in an analytical field such as data science, computer science, computer engineering, mathematics
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