A mega size logistic company has a few openings for Commercial Manager or Deputy Manager (contract logistic) to work on sales leads, design proposals and negotiate business deals.
To Perform Product Business Development and Customer Management:Establish and maintain network with customers, logistics service providers and government agenciesIdentify sales opportunities and pursue sales leads.Design pricing strategies for different products, which can be Singapore focus or regional focus across SEA bordersNegotiate proposals with customersIdentify opportunities for synergising physical solutions with digital initiatives.Gather market intel on trade / market / competitor updatesOrganize events for customer relationship management.
To operationalizing the Commercial deal for Customers:Develop process mapping with customers to identify supply chain pain pointsCollaborate with operations teams to re-design existing business processes or design new processes to resolve pain pointsWork with legal team on legal documents and facilitate signing of contracts with customersLiaise with Finance departments to implement concluded commercial termsTo be point of contact between customer and internal departments for day-to-day requests from customers.
To qualify for the role:Degree qualification in any disciplineAt least 4-7 years of sales experience with proven track record to meet and exceed sales quotas in the following verticals such as Life Science, Chemical, Industrial & Technology or RetailExperience in contract logistic, warehouse, transportation or freight is preferredPossess Business Development or Hunting SkillsExcellent interpersonal skillsGood record of successfully managing customer relationships.
R1222955
The mission of this job is to lead the development and integration of Agentic AI to accelerate product development with the help of Modeling and Simulations. Developed AI tools will disseminate Modeling and Simulation capabilities within the firm and hence provide a strong platform to competitively position the firm in the market.
The Lead AI Engineer will build Agentic AI and ML surrogates that automate simulation workflows, generate synthetic data at scale, deliver instant simulation predictions, and enable inverse design
ResponsibilitiesArchitect workflows for end-to-end automation of Modeling & Simulation steps via an agentic AI interfaceCreate framework for generating large and labeled synthetic datasets produced from automated parametric sweeps and DOE plans. Prepare data for rapid Machine Learning(ML) experimentationChoose and develop appropriate ML surrogates for the firm’s products to deliver instant estimates versus full physics runsDevelop inverse design methods to translate customer specs into optimized design candidates using surrogate modelsDemonstrate significant time savings by reducing developed workflow durations from days to minutes for at least one workflow, each validated against experimental data with 90% accuracyDiscuss, propose and present results to engineering and management teams
RequirementsMS or PhD preferred in Computer science, Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Materials Science or Applied PhysicsStrong working knowledge of Machine Learning techniques relevant to engineering data that include regression based surrogate modeling, Neural networks (e.g., CNNs, GNNs) where applicable to geometry or field dataDemonstrated experience in preparing simulation data for rapid ML experimentation and developing ML surrogate models for instant predictionsExperience in developing or applying inverse design methodsHands on experience in designing agentic AI systems or complex AI driven workflows, including multi step goal-oriented task execution, orchestration of multiple specialized components (agents, tools, APIs)Strong foundation in physics based Modeling & Simulation. Expert level use of CFD and FEM simulations specific to computational tools like Ansys, Comsol, Abaqus and/or opensource tools like openFoam is requiredStrong proficiency in Python /C/C++ for simulation software API’s and handling large simulation outputsDemonstrated experience in validating AI/ML outputs against experimental or trusted reference dataAny domain knowledge relating to Multiphysics, multiphase and porous flows is an advantageR1108900
