Trade Finance Officer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

 IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Commercial Planning Analyst

Senior AI Engineer

Staff Simulation Engineer - CFD

Role Description: <ul><li>The Trade Finance Officer will be responsible for supporting the company’s trade finance operations to ensure timely and accurate execution of import and export transactions.</li><li>The role involves preparing and processing trade finance instruments, coordinating with banks and suppliers, and ensuring compliance with established policies and international trade regulations.</li><li>The role requires strong expertise in letters of credit (LCs), bank guarantees, documentary collections, and other trade finance instruments.</li></ul> Responsibilities Trade Finance Operations: <ul><li>Support the end-to-end processing of trade finance transactions, including Letters of Credit (LCs), guarantees, collections, and other trade products.</li><li>Prepare and review trade documentation to ensure accuracy, completeness, and compliance with UCP 600, Incoterms, and international trade regulations.</li><li>Liaise with banks, suppliers, and internal departments to facilitate the issuance, amendment, and settlement of LCs and guarantees.</li><li>Track and monitor trade finance transactions and facility utilization to ensure timely execution and effective liquidity management.</li></ul> Import Letter of Credit: <ul><li>Preparation &amp; submission of LC Application as per shared PFI, agreed trade terms, and LC draft</li><li>Carrying out Trade Finance Compliance and Due Diligence checks before issuance of LC</li><li>Liaise with banks and suppliers to process LC documentation, amendments, and confirmations as required.</li></ul> Export Letter of Credit: <ul><li>Issue Proforma Invoices (PFIs) to Oil Marketing Companies (OMCs) allocated under the PBPA bid or carrying vessel.</li><li>Share LC drafts and a list of confirming banks with OMCs to ensure the LC is workable and aligned with the applicable UCP version.</li><li>Verify the availability of confirming banks within approved limits before proceeding.</li></ul> Cash Flow &amp; Working Capital Management: <ul><li>Support the optimization of cash flow by accurately processing and tracking trade finance transactions in line with working capital objectives.</li><li>Monitor collections, supplier payments, and financing requirements related to trade operations to ensure timely execution.</li><li>Coordinate with the Treasury team to provide trade-related inputs for liquidity planning and forex management.</li></ul> Requirements: Qualifications &amp; Experience:Education Qualification <ul><li>Bachelor’s degree in Finance, Accounting, Business, or a related field.</li></ul> Professional Qualification <ul><li>Strong knowledge of trade finance instruments, UCP 600, Incoterms, and cross-border&nbsp;payments.</li><li>3–5 years of experience in trade finance, corporate banking, or treasury.</li><li>Experience in liaising with banks, financial institutions, and regulatory.</li><li>Hands-on experience with ERP systems (SAP, Oracle, or similar) and trade finance platforms.</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: <ul><li>Involves working closely with industrial partners to evaluate their technical readiness, helping them align with client architectural plays and providing technical direction to develop new solutions and services offerings</li><li>Collaborate with partners to help them build IoT solutions aligned with our client strategy.</li><li>Provide strategic feedback on technology trends and develop business plans for partner enablement.</li><li>Lead partner training initiatives and assist in positioning our client solutions effectively.</li><li>Work cross-functionally with internal teams to adapt or create solutions addressing partner needs.</li><li>Create and deliver compelling solution demonstrations and prototypes</li><li>Provide feedback to product and engineering teams to improve IoT SDKs, APIs, and documentation.</li></ul> Requirements: Industry &amp; Partner Experience: <ul><li>Experience working with partner companies or Gold/Select resellers</li><li>Exposure to automation environments, particularly with Rockwell Automation, Honeywell, or other industrial control vendors</li><li>Familiarity with the integration of OT (Operational Technology) and IT networks</li></ul> Technical Expertise: <ul><li>Strong hands-on knowledge of networking technologies (routing, switching, wireless, security)</li><li>Understanding of security solutions (e.g., ASA/FTD Firewalls, ISE, Umbrella, Duo, etc.)</li><li>Knowledge of network design and architecture in industrial or enterprise environments</li><li>(Optional) Experience with cloud networking (Meraki, SD-WAN, Azure, AWS, etc.)</li></ul> Presales &amp; Commercial Skills: <ul><li>Experience in a presales or customer-facing technical role</li><li>Ability to design and architect solutions based on customer requirements</li><li>Skilled at creating technical proposals, BoMs, solution documentation, and presenting to clients</li><li>Strong communication skills to interface with both technical and business stakeholders</li><li>Familiarity with commercial engagement models (SOWs, pricing, licensing)</li><li>Certifications (Preferred but not mandatory)</li><li>Certifications: CCNP, CCIE (preferred), or other relevant certifications</li><li>Industrial certifications: Rockwell Certified Network Engineer (RCNE), Honeywell Network Specialist, etc.</li><li>Cloud certifications (AWS/Azure/Meraki) – optional</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the Global Demand Planning Cycle of the S&amp;OP process: Own and execute the monthly demand process from system handover to consensus sign-off. </li><li>Coordinate inputs from Sales, Product Management, and Finance, and ensure outputs feed into supply planning and S&amp;OP.</li></ul> Improve Forecast Accuracy:&nbsp; <ul><li>Drive measurable improvements in MAPE, Bias, and Forecast Adherence. Use data-driven techniques and root-cause analysis to understand gaps and implement corrective actions.</li></ul> Bridge Strategy and Execution:&nbsp; <ul><li>Translate commercial assumptions and market intelligence into an aligned, actionable forecast that drives capacity, procurement, and financial planning.</li></ul> Advance Tools and Reporting:&nbsp; <ul><li>Develop and maintain robust forecasting reports and KPIs using Excel, Power BI (or Tableau), and SAP IBP. </li><li>Push the team toward automated, visual, and insightful reporting.</li><li>Facilitate Consensus and Governance: Orchestrate monthly consensus meetings and prepare executive-ready materials that clearly communicate changes, assumptions, and risks.</li></ul> Support Constrained Planning:&nbsp; <ul><li>Collaborate with the Supply Planner to identify constraint-driven adjustments and simulate scenarios to evaluate trade-offs.</li><li>Enhance Collaboration and Accountability: Act as the single point of contact for demand planning across regions. Push for timely inputs, challenge assumptions, and ensure cross-functional accountability.</li></ul> Lead Process Improvements:&nbsp; <ul><li>Identify inefficiencies and design solutions—whether it’s template optimization, system enhancements, or training stakeholders on best practices.</li></ul> Support S&amp;OP Strategy:&nbsp; <ul><li>Contribute actively to the broader S&amp;OP cycle, including confidence-level strategies, forecast version control, and long-range planning exercises.</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain, Engineering, Business, or related field; Master’s preferred</li><li>Minimum 5 years of experience in demand planning or S&amp;OP in a multinational environment</li><li>Demonstrated ability to work independently and proactively influence cross-functional teams</li><li>High proficiency in Excel and Power BI (or Tableau); experience with SAP IBP is strongly preferred</li><li>Strong business acumen and communication skills; able to translate data into decisions</li><li>Fluent in English</li></ul>

Responsibilities: <ul><li>Work together with Sales / Commercial team also external key distributors to consolidate sales data from different countries / market, ensuring the data accuracy, cleanliness, and integrity.</li><li>Lead the maintenance and enhancement of commercial reporting processes, including the preparation of monthly reports and the development of automated reporting solutions and dashboards.</li><li>Provide sales team with commercial analysis and reporting to support team objectives and decision-making processes.</li><li>Initiate and standardize templates (Excel and PowerPoint) for projects as required</li><li>Formulate and execute new commercial KPI tracking mechanisms to support performance evaluation.</li><li>Participate in sales / commercial pertinent projects / Global project (ie. Game Plan / Distributor Excellence Program) and collaborate cross-functionally to ensure successful implementation and alignment with organizational objectives.</li><li>Work together with Sales / Commercial team to drive the commercial plans (Calendar of Activities).</li><li>Help to manage our JBP (Joint Business Plan) and contracts through data availability</li></ul> Requirements: <ul><li>Bachelors degree in related field</li><li>Minimum 2 years working at medium to large FMCG company</li><li>Advanced Microsoft Office Excel (Commercial Dashboard, XLookup, IF conditional, Data consolidation, Data cleaning, Conditional formatting) and Power Point</li><li>Good command in English</li><li>Takes ownership, self-determination, always looking to improve, collaborative approach on cross-functional working</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Role Description: <ul><li>Executes complex simulations in CFD and Thermal to optimize design and manufacturing.</li><li>Develops complex Multiphysics simulation methods that meets design requirements in thermal management of Electronic Systems, especially in high-speed transceivers, connectors, and their assemblies.</li></ul> Responsibilities: <ul><li>Leading the development and implementation of complex Thermal simulation models to optimize manufacturing, designs or processes.</li><li>Perform calculation &amp; simulation on temperature distribution over system.</li><li>Conducted thermo-mechanical and structural simulations to support design optimization, material selection, and validation from concept to production.</li><li>Proficient in simplifying complex CAD geometries for efficient structural and thermal simulation analyses</li><li>In-depth knowledge of mechanical design, conductive, convective, &amp; radiation heat transfer, and fluid flow mechanics.</li><li>Collaborate with designer, manufacturing, and testing teams to correlate CFD &amp; Thermal Simulation results with physical testing</li><li>Experience with DOE (Design of Experiments) and optimization techniques.</li></ul> Requirements: <ul><li>BE/ B.Tech (Mechanical)</li><li>M Tech (Mechanical) (preferred)/ PHD</li><li>Knowledge of products, design processes and methodology.</li><li>Proficiency in state-of-the-art&nbsp;</li><li>Proficiency in use of MS Office tools.</li><li>Knowledge of associated manufacturing processes (molding, stamping, plating, crimping &amp; assy).</li><li>Knowledge about the Soldering, crimping &amp; welding technologies.</li><li>Knowledge on technical paper publications &amp; applying for patents.</li><li>8- 12 years of industry experience.</li><li>Expertise in Ansys Workbench.</li><li>Experience on connector products (Plastic and Sheet Metal parts).</li><li>Knowledge on material science (Metals, Resins &amp; hyper elastic material) and implement for simulation.</li><li>Correlation of Test and simulation data / results.</li><li>Expertise on CAE tools, Optimization techniques, and testing methods.</li><li>Implementing of LEAN / 6 Sigma / Kaizen techniques to live projects.</li></ul>

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105 financial models Jobs found

Trade Finance Officer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Commercial Planning Analyst

Senior AI Engineer

Staff Simulation Engineer - CFD

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105 financial models Jobs found

Trade Finance Officer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Commercial Planning Analyst

Senior AI Engineer

Staff Simulation Engineer - CFD

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.