Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Senior Team Lead

Supply Planning Leader

Material Planning Analyst

Manager, Process Engineer (Deposition)

Inside Sales Engineer

Engineering Development Associate

Responsibilities: Deploy and Land: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region.</li><li>Cover discovery, scoping, development, integration, user acceptance testing (UAT), hypercare and rollout.</li><li>Embed with operations.</li><li>Participate in business stand-ups.</li><li>Visit the ramp and cargo floor.</li><li>Understand local data realities rather than making assumptions.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data.</li><li>Avoid handing over prototypes for someone else to productionise.</li><li>Scale deployment by reducing the cost and time required to deploy solutions across additional stations.</li><li>Achieve this through reusable integrations, configuration and runbooks.</li></ul> Build on the Platform, Not Around It: <ul><li>Consume data through the semantic layer and governed data platform.</li><li>Avoid parallel pipelines, local definitions and workarounds.</li><li>Apply Centre of Excellence (CoE) patterns and guardrails.</li><li>Follow reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows.</li><li>Implement RAG and retrieval patterns.</li><li>Implement agentic and tool-use patterns.</li><li>Apply evaluation frameworks.</li><li>Establish observability.</li><li>Maintain production cost control.</li></ul> Make Insight Self-Service: <ul><li>Build data products, not report queues.</li><li>Design governed, reusable datasets and semantic models.</li><li>Enable operations teams, airlines and forwarders to answer their own questions.</li><li>Put insight in front of the customer.</li><li>Deliver station and customer-facing analytics.</li><li>Enable natural-language access to operational data.</li><li>Ensure appropriate access, residency and confidentiality controls.</li><li>Design for the user, not the requester.</li><li>Ensure every product identifies the decision it changes and the person responsible for making it.</li><li>Instrument usage.</li><li>Retire products that are not used.</li><li>Consolidate fragmented reporting rather than extending it.</li></ul> Close the Loop: <ul><li>Feed field learnings back.</li><li>Convert integration problems into hardened patterns for the CoE and requirements for the platform team.</li><li>Own adoption and benefits.</li><li>Instrument deployments.</li><li>Track usage and benefits against the business case.</li><li>Report results accurately.</li><li>Be the technical face to the business and customers.</li><li>Translate between operations, the CoE and platform engineering.</li><li>Success in the First 12 Months</li></ul> Requirements: Experience: <ul><li>6+ years of experience in software or ML engineering.</li><li>Experience must include customer-facing or business-embedded delivery.</li><li>Demonstrated track record of scoping and delivering complex systems end to end in ambiguous, fast-moving environments.</li><li>Ability to remain accountable after go-live.</li><li>Production experience with LLM or ML systems.</li><li>Experience with prompt and agent design.</li><li>Experience with RAG.</li><li>Experience with evaluation frameworks.</li><li>Experience with deployment at scale.</li><li>Understanding of how model behaviour influences product experience.</li><li>Strong Python and API development skills.</li><li>Experience with FastAPI or equivalent.</li><li>Comfortable working across backend and frontend development.</li><li>Ability to build a working system independently.</li><li>Practical experience with Docker.</li><li>Practical experience with Kubernetes.</li><li>Practical experience with CI/CD.</li><li>Practical experience with cloud data platforms.</li><li>Experience integrating batch and real-time data against complex enterprise data sources.</li><li>Strong understanding of analytics.</li><li>Experience with semantic and dimensional modelling.</li><li>Knowledge of modern BI.</li><li>Experience designing data products that non-technical and external users can operate independently.</li><li>Aviation, logistics or complex operations experience is advantageous but not mandatory.</li><li>Willingness to learn operations directly from the operational floor is essential.</li></ul> Qualifications: <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or a related field.</li></ul>

Responsibilities: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region: discovery, scoping, build, integration, UAT, hypercare and rollout.</li><li>Embed with the operation. Sit in business stand-ups, walk the ramp and the cargo floor, and specify the local data reality rather than assuming it.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data, not prototypes handed to someone else to productionise.</li><li>Scale deployment. Reduce cost and time-to-deploy from station N to station N+1 through reusable integrations, configuration and runbooks.</li><li>Consume through the semantic layer and the governed data platform. No parallel pipelines, no local definitions, no workarounds.</li><li>Apply CoE patterns and guardrails: reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows: RAG and retrieval, agentic and tool-use patterns, evaluation frameworks, observability and cost control in production.</li><li>Build data products, not report queues. Design- governed, reusable datasets and semantic models that let operations, airlines and forwarders answer their own questions.</li><li>Put insight in front of the customer. Deliver station and customer-facing analytics, including natural-language access to operational data, with the access, residency and confidentiality controls customer data demands.</li><li>Design for the user, not the requester. Every product names the decision it changes and who makes it. Instrument usage, retire what nobody opens, consolidate the long tail rather than extend it.&nbsp;</li><li>Feed the field back. Every integration problem you solve becomes a hardened pattern for the CoE and a requirement for the platform team.</li><li>Own adoption and benefits. Instrument what you deploy, track usage and benefit against the business case, and report it honestly.</li><li>Be the technical face to the business and to customers, translating between operations, the CoE and platform engineering.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>6+ years in software or ML engineering, including customer-facing or business-embedded delivery.</li><li>Track record of scoping and shipping complex systems end to end in ambiguous, fast-moving environments, and staying accountable after go-live.</li><li>Production experience with LLM or ML systems: prompt and agent design, RAG, evaluation frameworks, deployment at scale, and an understanding of how model behaviour shapes product experience.</li><li>Strong Python and API development (FastAPI or equivalent); comfortable across backend and front-end enough to build a working system alone.</li><li>Practical depth in Docker, Kubernetes, CI/CD, and cloud data platforms; batch and real-time integration against messy enterprise sources.</li><li>Fluency in the analytics half of the job: semantic and dimensional modelling, modern BI, and designing data products that non-technical and external users can operate without help.</li><li>Aviation, logistics or complex operations exposure is an advantage, not a prerequisite. Willingness to learn the operation from the floor is not optional.</li><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or related field.&nbsp;</li></ul>

﻿Responsibilities: Data Collection &amp; Integration: Collect and consolidate data from multiple sources, including: <ul><li>CMDB platforms (e.g., Remedy)</li><li>IT Asset Management (ITAM) systems</li><li>Vendor lifecycle and support data</li><li>Security, vulnerability, and patching sources</li><li>Ensure data consistency and alignment across asset, configuration, and lifecycle repositories</li><li>Validate data accuracy, completeness, and currency</li></ul> Technology Obsolescence Analysis: <ul><li>Identify EOL, EOS, and obsolete technologies across hardware, software, OS, databases, middleware, and cloud services</li><li>Analyze lifecycle risks by technology type, vendor, business unit, and criticality</li><li>Support prioritization of remediation based on risk, business impact, and exposure</li></ul> Reporting &amp; Dashboarding: <ul><li>Design, develop, and maintain interactive dashboards and reports using:</li><li>Power BI / Tableau</li></ul> Create Standard Views Covering: <ul><li>Obsolescence risk heatmaps</li><li>Aging and lifecycle timelines</li><li>Remediation progress and trends</li><li>Compliance and audit‑ready metrics</li><li>Enable self‑service analytics for stakeholders where appropriate</li></ul> CMDB &amp; Asset Management Support: <ul><li>Support the alignment of CMDB data with actual deployed assets</li><li>Identify gaps, redundancies, or inaccuracies in configuration and asset records</li><li>Drive improvements in asset lifecycle tagging, ownership, and criticality classification</li><li>Collaborate with ITSM, ITAM, and platform teams to improve data quality and governance</li></ul> Stakeholder &amp; Decision Support: <ul><li>Provide insights and analysis to:</li><li>Domain leads and task force leads</li><li>Project managers and delivery teams</li><li>Risk, security, and audit stakeholders</li><li>Translate complex data into clear, actionable insights for non‑technical audiences</li><li>Support business case development and roadmap planning with data evidence</li></ul> Data Governance &amp; Continuous Improvement: <ul><li>Define and document data definitions, metrics, and reporting standards</li><li>Automate data refreshes and reporting pipelines where possible</li><li>Identify opportunities to improve lifecycle visibility and predictive risk analysis</li></ul> Requirements: <ul><li>5–8+ years of experience in a data analyst or reporting role within IT or technology functions</li><li>Experience supporting modernization, risk, lifecycle, or transformation initiatives is a strong advantage</li><li>Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field</li><li>Power BI or Tableau certification</li><li>ITIL or IT Asset Management certification is a plus</li><li>Data &amp; Analytics Skills</li><li>Strong experience in data analysis and visualization</li><li>Hands on expertise in:</li><li>Power BI (DAX, data modeling, performance optimization)</li><li>Tableau (dashboards, calculated fields, storytelling)</li><li>Strong SQL skills for querying large datasets</li><li>Experience working with structured and semi structured data</li></ul>

Responsibilities: <ul><li>Gather and analyze user requirements for dashboard, monitoring, and reporting enhancements.</li><li>Design, develop, and maintain operational dashboards and monitoring solutions based on business and technical requirements.</li><li>Create, modify, and optimize queries to extract, analyze, and present data for business and operational reporting.</li><li>Develop reports and analytics that provide actionable insights into system performance, availability, and operational health.</li><li>Support and administer enterprise monitoring tools such as Splunk and Geneos.</li><li>Troubleshoot monitoring alerts, dashboard discrepancies, and reporting-related issues.</li><li>Participate in system implementation, enhancement, testing, and deployment activities.</li><li>Ensure compliance with organizational standards, governance, and audit requirements.</li><li>Prepare and maintain technical documentation, user guides, and operational procedures.</li><li>To identify area of monitoring coverage to be improved; and work with relevant teams to enable monitoring solution to improve monitoring coverage.</li><li>To identify area of triage efficiency to be improved; and work with relevant teams to implement solution to improve triage efficiency.</li><li>To identify area of automation of service recovery ability to be improved; and work with relevant teams to implement solution to automate service recovery ability.</li><li>To work with various stakeholders (i.e., service automation, level 2 (group) and level 3 production support etc) to implement application monitoring, service end-to-end dashboard, and automation of service recovery.</li></ul> Requirements: <ul><li>Strong hunter mentality with a passion for creating new business opportunities and opening new partner relationships.</li><li>Experience in business development, channel sales, partner sales, technology sales, or customer acquisition roles.</li><li>Comfort with outbound prospecting, cold outreach, networking, pipeline generation, and opportunity development.</li><li>Understanding of cloud technologies, managed services, software licensing, cybersecurity, or broader IT solutions.</li><li>Strong commercial acumen with the ability to influence stakeholders and build strategic business relationships.</li><li>Self-motivated, resilient, and driven by achieving growth targets, partner acquisition goals, and business outcomes.</li></ul>

Responsibilities: <ul><li>Lead &amp; participate in the design, development, and maintenance of FMF-related applications.&nbsp;&nbsp;</li><li>Conduct impact analysis and internal data mapping during the design phase.&nbsp;&nbsp;</li><li>Collaborate with business analysts and stakeholders to finalize technical requirements.&nbsp;&nbsp;</li><li>Perform defect analysis and resolution.&nbsp;&nbsp;</li><li>Write and maintain Unix/Linux shell scripts to support automation and integration.&nbsp;&nbsp;</li><li>Execute SQL queries and updates to support application logic and reporting.&nbsp;&nbsp;</li><li>Manage and mentor junior developers, ensuring quality and timely delivery.&nbsp;&nbsp;</li><li>Coordinate with testing, infrastructure, and compliance teams to ensure smooth deployment and support.&nbsp;&nbsp;</li><li>Provide regular updates to project managers and escalate risks/issues with proposed resolutions.&nbsp;&nbsp;</li><li>Lead technical implementation of vendor products (e.g., Firco™ Continuity).&nbsp;&nbsp;</li><li>Perform gap analysis between internal requirements and vendor product capabilities.&nbsp;&nbsp;</li><li>Liaise with vendors to address product limitations, customization needs, and integration challenges.&nbsp;&nbsp;</li><li>Ensure compliance with internal standards and regulatory requirements during implementation.&nbsp;&nbsp;</li><li>Document technical specifications, deployment procedures, and support guides.&nbsp;</li></ul> Requirements&nbsp;&nbsp; <ul><li>Experienced in software development roles, with at least 2 years in a senior or lead capacity.&nbsp;&nbsp;</li><li>Proven eperience in banking or financial services, especially in compliance or payments.&nbsp;&nbsp;</li><li>Strong understanding of SDLC processes and experience in technical design and impact analysis.&nbsp;&nbsp;</li><li>Experience implementing and managing vendor products in enterprise environments.&nbsp;&nbsp;</li><li>Proficient in Unix/Linux shell scripting and SQL.&nbsp;&nbsp;</li><li>Hands-on experience with Java for defect resolution and enhancements.&nbsp;&nbsp;</li><li>Familiarity with payment technologies (SWIFT messaging, transaction flows) and AML systems&nbsp;&nbsp;</li><li>Experience with DevOps practices and CI/CD tools (Jenkins, Artifactory, SonarQube) will be an added&nbsp;</li><li>advantage&nbsp;&nbsp;</li><li>Degree in Computer Science, Engineering, or a related field.&nbsp;&nbsp;</li><li>Additional certifications in payment or compliance technology are advantageous&nbsp;&nbsp;</li></ul>

Role Description: <ul><li>Supply Planning Leader is accountable for end-to-end supply planning across an assigned product portfolio and multiple distribution centers.</li><li>The role ensures timely, cost-effective product availability while balancing customer service, inventory health, working capital, capacity, and logistics performance. This leader converts demand into feasible supply plans, manages risks and constraints, and drives cross-functional execution and continuous improvement in a global, matrix environment.</li></ul> Responsibilities: <ul><li>Develop and execute supply plans aligned with customer demand, inventory targets, business priorities, capacity, material availability, supplier constraints, and transportation lead times.</li><li>Ensure finished-goods availability and timely replenishment across distribution centers, regional warehouses, and source plants by driving MRP recommendations and monitoring plan adherence.</li><li>Lead weekly and monthly supply reviews and actively support S&amp;OP and S&amp;OE by providing supply status, reviewing demand outlook, recommending trade-offs, and driving approved actions.</li><li>Optimize safety stock, MRP policies, inventory deployment, stock coverage, turns, availability, and working capital while maintaining healthy inventory levels.</li><li>Manage phase-in and phase-out planning for the assigned portfolio.</li><li>Identify demand-supply gaps, capacity bottlenecks, material constraints, revenue risks, and service opportunities; lead root-cause analysis, recovery plans, prioritization, and allocation decisions.</li><li>Support customer-service targets, including Fill Rate, STR, OTIF, and PP Confirmation, by aligning commitments with realistic supply capabilities.</li><li>Partner with Demand Planning, Procurement, Manufacturing, Logistics, Customer Service, Product Management, and Sales on material availability, inventory strategy, supply risks, and executive reviews.</li><li>Prepare monthly and annual inventory and freight projections and improve sourcing and transportation economics, including ocean buying from source.</li></ul> Requirements: <ul><li>Bachelor’s degree in Supply Chain Management, Engineering, Operations, Business, or a related field.</li><li>10+ years of experience in supply planning, materials planning, inventory management, manufacturing, distribution, OEM, automotive, industrial, or aftermarket environments.</li><li>At least 4 years of team-leadership experience, with demonstrated stakeholder management, influencing, communication, and problem-solving capability.</li><li>Experience working effectively in fast-paced, global, matrix, and ambiguous environments.</li><li>Strong knowledge of supply and demand planning, forecasting, inventory optimization, capacity and constraint management, distribution networks, transportation, warehousing, and S&amp;OP/S&amp;OE.</li><li>Proficiency in SAP MRP and inventory planning, SAP IBP, and advanced Microsoft Excel; strong Microsoft PowerPoint and analytics capability.</li></ul>

Role Description: <ul><li>The purpose of this role is to make product available to meet customer demand – and that includes delivery to the appropriate location, on time, in sufficient quantity.</li><li>Supply chain role is focused on doing that in the most efficient and effective way.</li></ul> Responsibilities: <ul><li>Order management, shortage management, meet or exceed desired service levels and inventory targets as defined</li><li>To focus on part availability, on time delivery to the customer, Quality and Cost Reduction by utilizing resources effectively.</li><li>Driving supply chain and logistics excellence and ensuring the compliance of all statutory requirements in order to achieve Business goals.</li><li>Provide innovative planning and logistics solutions to find and implement efficiencies with cross-functional teams</li><li>Drive and assist in the identification and implementation of continuous improvement opportunities and customer satisfaction opportunities to deliver superior service.</li><li>Support procurement exercises by providing operational market intelligence and benchmarking.</li><li>Use of technological tools and internal data to generate reports that detail efficiencies as well as areas needing improvement.</li><li>Responsible for Inter Company procurement &amp; allocations from vendors in US/Europe/Asia</li><li>Scheduling and Releasing order on affiliates located all over the world as per the domestic requirement.</li><li>Taking order confirmation and ensuring shipments are handed over to forwarder in time</li><li>Oversee execution of shipments in different ways like Sea, Air Freight &amp; Couriers from different origins like Europe, Korea, Japan, USA, Thailand, Brazil etc. in co-ordination of different freight forwarders.</li></ul> Requirements: Technical Skill <ul><li>SAP MM.</li><li>Advance Excel EDUCATION/KNOWLEDGE.</li><li>Graduate Degree holder from any stream – Preferably Engineering.</li><li>Good knowledge of SAP or a similar ERP-system.</li><li>Excellent communication and partnership skills with CFTs.</li><li>Minimum 2-3 years working experience in Supply Chain functions.</li><li>Experience with SAP is highly desirable.</li><li>Exposure to Data Analytical tools and Data Management would be added advantage.</li><li>Innovation demeanor Problem solving.</li><li>Passion for technology.</li><li>Results driven.</li><li>Clear and concise communication.</li></ul>

Responsibilities: <ul><li>Lead the development and scaling of next-generation advanced packaging technologies, leveraging expertise in thin film deposition processes including Physical Vapor Deposition (PVD), Chemical Vapor Deposition (CVD), and/or Atomic Layer Deposition (ALD) to enable customer roadmaps and address critical technology challenges.</li><li>Drive process and technology roadmap development for advanced packaging, 3D integration, and related semiconductor applications through collaboration with customers, research organizations, and cross-functional engineering teams.</li><li>Manage engineers in utilizing techniques to characterize hardware, define methods and new technologies and apply them to characterize hardware, and/or perform hardware characterization on extremely complex systems for entire range of products for division</li><li>Interact with key customers to resolve extremely complex process engineering issues to address customers High Value Problems (HVP) for an entire range of products for the division.</li><li>Ensures effective product/technology demonstrations.</li><li>Leads collaboration efforts with executive managers and junior managers to ensure strategic execution.</li><li>Leads market share improvement efforts.</li></ul> Requirements: <ul><li>7-10+ years of semiconductor equipment R&amp;D experience.</li><li>2+ years of people management/team leadership experience.</li><li>Strong background in:&nbsp;</li><li>CVD, PVD, ALD, Etch</li><li>Thin-film technologies</li><li>Experience in equipment/process R&amp;D and product development.</li><li>Strong English communication skills.</li></ul>

Responsibilities: <ul><li>Identify Sales Opportunities: Proactively identify and pursue new sales opportunities through research, networking, loss accounts and outreach.</li><li>Lead Generation : Generates leads and qualifies prospects for external sales engineers</li><li>Quotations: Generates Standard quotations for products, tubings, hoses and parts.</li><li>Customer Relationship Management: Build and maintain strong relationships with existing and potential customers, ensuring their needs are met and exceeded.</li><li>Securing Orders: Secure orders for repeat business and simple new orders, ensuring customer satisfaction and loyalty.</li><li>Support Sales Engineers: Assist sales engineers by setting up meetings with prospective customers and providing them with necessary information and support.</li><li>Market Research: Conduct market research to stay informed about industry trends, competitor activities, and customer needs.</li><li>Sales Reporting: Maintain accurate records of sales activities, customer interactions, and pipeline status in the CRM system.</li><li>Collaboration: Work closely with the sales colleagues to develop and implement effective sales strategies.</li><li>Customer Feedback: Gather and analyse customer feedback to improve services, and sales processes.</li><li>Training and Development: Continuously improve your knowledge of our products and services, as well as sales techniques and industry best practices.</li></ul> Requirements: <ul><li>Ideally you will have technical experience working with mechanically engineered / process equipment products or services.&nbsp;</li><li>This role requires you to work with various key clients and customers – the ability to be agile, solve problems effectively and make commercially astute decisions on the go is essential. Comfortable working with KPIs.&nbsp;</li><li>Ideally you will have knowledge in a Sales function preferably in a Business-to-Business environment; an understanding of Customer Relationship Management and Enterprise Resource Planning systems would be an asset.&nbsp;</li><li>Due to the nature of our business, the ability to collaborate across countries/departments within a corporate environment would be an asset.&nbsp;</li></ul>

Role Description: <ul><li>The TS Operations &amp; Engineering Rotation Program is an accelerated development program designed for high-potential early-career professionals.</li><li>Through a series of cross-functional rotations, participants gain hands-on experience across Engineering and Operations, build broad business knowledge, and develop the skills needed for future leadership opportunities.</li><li>Your first rotation will be within our Engineering organization, where you will contribute to real business challenges, collaborate with experienced professionals, and help deliver innovative solutions for global customers.</li><li>This is not a shadowing program. From day one, you will take ownership of meaningful work, use data to solve problems, and help deliver measurable business results.</li></ul> Responsibilities: <ul><li>Contribute to engineering projects from concept through implementation and validation.</li><li>Apply data-driven problem solving to improve products, processes, and business outcomes.</li><li>Partner with cross-functional teams including Manufacturing, Quality, Operations, Supply Chain, and Project Management.</li><li>Support product development, testing, and continuous improvement activities.</li><li>Participate in customer-focused engineering initiatives to help meet performance and quality requirements.</li><li>Analyze technical challenges and recommend practical, effective solutions.</li><li>Present project results, insights, and recommendations to engineering and business stakeholders.</li></ul> Responsibilities: <ul><li>Bachelors or Masters degree in Engineering or a related technical field from a highly regarded university.</li><li>1-3 years of professional work experience in engineering, manufacturing, operations, or a related technical environment.</li><li>Strong analytical and problem-solving skills with the ability to learn quickly.</li><li>Practical experience with CAD tools in design or product development, complemented by knowledge of finite element analysis (FEA) simulation.</li><li>Knowledge of AI-enabled tools and data analytics.</li><li>Ability to work effectively in cross-functional and multicultural teams.</li><li>Strong communication skills with the ability to present ideas and recommendations clearly.</li><li>Fluent English a must</li></ul>

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145 erp software Jobs found

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Senior Team Lead

Supply Planning Leader

Material Planning Analyst

Manager, Process Engineer (Deposition)

Inside Sales Engineer

Engineering Development Associate

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Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Senior Team Lead

Supply Planning Leader

Material Planning Analyst

Manager, Process Engineer (Deposition)

Inside Sales Engineer

Engineering Development Associate

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