Senior Manager - Customer Experience

Management Accounting Team lead ( VP2)

Senior Talent Acquisition Specialist

Forward Deployed AI Scientist

Business Analyst SAP SD

Business Analyst SAP PP

Business Analyst – SAP MM

TA Specialist

Senior Software Engineer AI

Software Engineer AI

Responsibilities: <ul><li>Provide support to the section head in developing and implementing a strategic vision for the digital channels and customer experience that aligns with the companys overall goals and objectives.</li><li>Develop a roadmap for digital transformation initiatives, including timelines, resources, and budgets</li><li>Identify opportunities to improve digital channels and customer service by staying up-to-date with industry trends and implementing best practices.</li><li>Drive the development and enhancement of customer self-service digital solutions as the Business lead and work along with the IT team – App/ portal, Whatsapp/ Chatbot, Kiosks, Token machines, etc.</li><li>Improve overall customer experience across the prospect and customer journeys from lead generation till sale, and through to post-sale services.</li><li>Revise the processes offered on the self-service channels in context of a digital-first experience.</li><li>Provide the business with customer feedback and insights that enhance customer experience and engagement.</li><li>Ensure all digital touchpoints in the processes, and communications and templates going out to customers and prospects is up to date.</li><li>Collaborate with other departments, such as IT, Marketing, Sales, and Customer care to ensure smooth delivery and operations of digital channels.</li><li>Collaborate with cross-functional teams to drive process improvements for a digital-first approach.</li><li>Lead and oversee transformation projects related to call center operations, including implementing new technology, system upgrades, and process improvements.</li><li>Work closely with the CX team to incorporate customer insights into commercial strategy development, enhancing customer satisfaction and retention.</li><li>Represent the Customer experience team in cross-functional meetings, and provide regular updates to senior management.</li><li>Develop strategies to enhance the customer lifecycle and maximize lifetime value, driving both customer loyalty and revenue growth.</li><li>Leverage advanced analytics to track market performance, customer behavior, and competitive positioning, ensuring decisions are guided by actionable insights.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business Management/ Marketing/ Digital Transformation/ Customer Experience/ Business Analytics, or a related field. Master’s degree - preferred</li><li>Certifications in Business Analytics, Customer Journey Mapping, or Service Design - preferred</li><li>Min. 7-8 years relevant experience in digital technologies and tools with minimum 4 years managing teams and developing and implementing digital strategies.</li><li>Proven experience in delivering digital transformation initiatives within complex organizations, including the development and implementation of customer self-service channels such as WhatsApp, chatbots, and customer portals.</li><li>Prior experience in customer experience design or consumer research and/ or real estate industry is an added advantage</li></ul>

Responsibilities: <ul><li>Understand business function and analyse users requirements, make a clear scope of project and build consensus with users</li><li>Lead in analysis and scoping of data sourcing and functional enhancements, functional/application design, functional specifications, discuss and obtain users agreements</li><li>Obtain commitments from all identified stakeholders on creation of project plan and handle of project change management</li><li>Create project schedule, project activity list and control to keep the schedule and within budget</li><li>Prepare SIT test schedule and develop test cases</li><li>Arrange with users to conduct User Acceptance Test and arrange with development team to prepare necessary test environment and support functional testing</li><li>Monitor and report on the progress of UAT and follow up with the error resolution</li><li>Prepare necessary documents to facilitate and deliver the project (Release checklist, UAT results, etc)</li><li>Manage the technical delivery within timeline and with quality</li><li>Manage change request and defect with release control</li><li>Manage project issues, user and vendor expectations</li><li>Ensure end-user satisfaction and meeting service level agreement</li><li>Provide coaching to team and to build high performance team</li></ul> Requirements: <ul><li>Relevant experience in a Financial Institution for Management Accounting and Profitability Reporting</li><li>Financial applications (e.g. General Ledger, cost management, budget, forecast) in banking environmet</li><li>Good understanding of data from core banking and treasury products</li><li>Data mapping and data sourcing from data warehouse experience</li><li>Good understanding in SDLC phases</li><li>Capability in requirement analysis and functional design skills</li><li>Capability of self-learning and a quick learner</li><li>Be adaptable, flexible and be able to thrive in a challenging, fast-paced of a growing organization / environment</li><li>Good communication (written and oral) skills</li><li>Ability to network and influence others without direct oversight or supervision</li><li>Ability to develop and maintain productive working relationships with colleagues in distributed global locations</li></ul>

Responsibilities: End-to-End Recruitment: <ul><li>Manage full recruitment lifecycle: sourcing, screening, interviewing, offer negotiation, and closing&nbsp;</li><li>Handle multiple concurrent requisitions across different functions and seniority levels&nbsp;</li><li>Deliver high-quality hires within tight timelines&nbsp;</li></ul> Agency-Style Sourcing Excellence: <ul><li>Proactively source passive candidates via LinkedIn Recruiter (must-have)&nbsp;</li><li>Utilize additional sourcing channels such as databases, referrals, and direct outreach&nbsp;</li><li>Experience with China platforms (51job, Liepin, SEEK) is a strong plus but not required&nbsp;</li><li>Conduct market mapping, competitor analysis, and talent pipelining for key roles&nbsp;</li></ul> Stakeholder Management: <ul><li>Partner closely with hiring managers and HR across global teams&nbsp;</li><li>Translate hiring needs into actionable sourcing strategies&nbsp;</li><li>Provide insights on talent availability, compensation benchmarks, and market trends&nbsp;</li></ul> Candidate Management &amp; Offer Closing: <ul><li>Manage end-to-end candidate experience from engagement to offer acceptance&nbsp;</li><li>Drive offer negotiation and improve conversion rates&nbsp;</li><li>Maintain strong candidate engagement throughout the process&nbsp;</li></ul> Delivery &amp; Performance Focus: <ul><li>Work against hiring targets, SLAs, and priority requisitions&nbsp;</li><li>Maintain strong pipeline health and role visibility&nbsp;</li><li>Ensure fast execution in a high-volume, fast-paced environment&nbsp;</li></ul> Fully Remote Collaboration: <ul><li>Operate independently in a fully remote setup (Taiwan-based)&nbsp;</li><li>Work across time zones with global stakeholders&nbsp;</li><li>Use ATS, Teams, Outlook and other collaboration tools effectively&nbsp;</li></ul> Requirements: <ul><li>5–8+ years of recruitment experience&nbsp;</li><li>Strong agency / executive search background strongly preferred&nbsp;</li><li>Proven experience handling multiple requisitions in fast-paced environments&nbsp;</li><li>Experience recruiting mid-to-senior level roles&nbsp;</li><li>Fluent Mandarin &amp; English proficiency&nbsp;</li><li>Strong proficiency in LinkedIn Recruiter&nbsp;</li><li>Strong sourcing and headhunting capability (agency-standard expected)&nbsp;</li><li>Excellent stakeholder management and influencing skills&nbsp;</li><li>Strong negotiation and offer closing ability&nbsp;</li><li>High execution speed and prioritization ability&nbsp;</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Role Description: <ul><li>As our Business Analyst, SAP SD, you will design and optimize processes that integrate seamlessly with manufacturing and supply chain—providing accurate, timely, and actionable manufacturing insights.</li><li>This role focuses heavily on requirements gathering, gap-fit analysis, testing, documentation, solution design, reporting, support and adoption.</li><li>It also demands end-to-end ownership: from understanding business requirements and mapping processes to hands-on SAP configuration, testing, and deployment.&nbsp;</li></ul> Responsibilities: <ul><li>Lead the functional analysis of SD requirements and translating them into S/4HANNA SAP solutions.</li><li>Perform configuration of SAP SD module.</li><li>Integrate SD with other SAP modules FICO and MM as well as Salesforce workflows/processes.</li><li>Troubleshoot, perform root cause analysis and resolve SAP issues at functional, configuration and technical levels.</li><li>Maintain, enhance and optimise SAP S/4HANA solutions in production.</li><li>Conduct user training and create user documentation as needed.</li><li>Identify and implement automation, reporting, and process improvements.</li><li>Work with our third-party vendor on L2 and L3 support</li><li>Ensure system stability, performance optimisation, and support patch upgrades and OS patching activities.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Information Technology, or a related field (Master’s degree is a plus).</li><li>SAP S/4HANA Certification in SAP is a strong advantage, preferably SAP SD.</li><li>Ability to work on In-App Extensibility and BTP-based extensions and understanding of integration tools (SAP CPI, APIs) and CDS Views; experience in WRICEF objects</li><li>Minimum 3 years of SAP SD experience, including at least 1 full lifecycle implementation.</li><li>Proven ability to work both functionally and technically—from business process mapping to SAP configuration and testing.</li><li>Strong knowledge of SD with good understanding of Salesforce is highly preferred.</li><li>Experience integrating SD with FICO, MM, and PP modules and MES is highly advantageous</li><li>Ability to support one other module is highly advantageous.</li><li>Experience with SAP S/4HANA environments.</li><li>Excellent communication skills and the ability to work with cross-functional teams.</li><li>Strong analytical, problem-solving, self-driven and able to work independently to meet timelines.</li><li>Lead the functional analysis of SD requirements and translating them into S/4HANNA SAP solutions.</li><li>Perform configuration of SAP SD module.</li><li>Integrate SD with other SAP modules FICO and MM as well as Salesforce workflows/processes.</li></ul>

Responsibilities: <ul><li>Lead functional analysis workshops to gather and translate PP business requirements into SAP S/4HANA solutions.</li><li>Configure and support SAP PP module functionalities based on business needs.</li><li>Integrate SAP PP with modules including FICO, QM, AM, MM/EWM, and SD to support seamless production workflows.</li><li>Support SAP-MES integration and manufacturing process optimization.</li><li>Troubleshoot SAP issues, perform root cause analysis, and resolve functional, configuration, and technical problems.</li><li>Maintain, enhance, and optimize SAP S/4HANA solutions in production environments.</li><li>Collaborate with third-party vendors for L2 and L3 support activities.</li><li>Conduct user training sessions and prepare functional and technical documentation.</li><li>Identify opportunities for automation, reporting enhancements, and process improvements.</li><li>Ensure system stability, performance optimization, and support patch upgrades and releases.</li><li>Participate in testing activities including SIT, UAT, and regression testing.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Information Technology, Computer Science, or a related field.</li><li>Master’s degree is an advantage.</li><li>Minimum 7 years of SAP PP experience, including at least one full lifecycle SAP implementation.</li><li>Strong hands-on experience with SAP S/4HANA environments.</li><li>Proven expertise in SAP PP configuration, testing, and business process mapping.</li><li>Strong understanding of MES integration and manufacturing operations.</li><li>Experience integrating SAP PP with FICO, QM, AM, MM/EWM, and SD modules.</li><li>Ability to support at least one additional SAP module is highly advantageous.</li><li>Knowledge of SAP BTP extensions, In-App Extensibility, SAP CPI, APIs, CDS Views, and WRICEF objects is preferred.</li><li>SAP S/4HANA Certification, preferably in SAP PP, is highly desirable.</li><li>Excellent analytical, troubleshooting, and problem-solving skills.</li><li>Strong communication and stakeholder management abilities.</li><li>Self-driven, proactive, and capable of working independently within tight timelines.&nbsp;</li></ul>

Responsibilities: <ul><li>﻿Lead the functional analysis of MM and EWM requirements and translating them into S/4HANNA SAP solutions. </li><li> Perform configuration of SAP MM and EWM module. </li><li> Integrate MM/EWM with other SAP modules FICO, PP, AM, QM and SD as well as Ariba and IBP for seamless procurement and inventory management workflows/processes. </li><li> Troubleshoot, perform root cause analysis and resolve SAP issues at functional, configuration and technical levels. </li><li> Maintain, enhance and optimise SAP S/4HANA solutions in production </li><li> Conduct user training and create user documentation as needed. </li><li> Work with our third-party vendor on L2 and L3 support.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Information Technology, or a related field (Master’s degree is a plus).</li><li>SAP S/4HANA Certification in SAP is a strong advantage. Preferably in MM, EWM, SD, IBP, or Ariba.</li><li>Ability to work on In-App Extensibility and BTP-based extensions and understanding of integration tools (SAP CPI, APIs) and CDS Views; experience in WRICEF objects.</li><li>At least 4 years of SAP MM or EWM experience, including at least 1 full lifecycle implementations.</li><li>Proven ability to work both functionally and technically—from business process mapping to SAP configuration and testing.</li><li>Strong knowledge of MM, Inventory Management and Invoice Verification with basic knowledge of EWM is highly preferred.</li><li>Experience integrating MM/EWM with FICO, PP, AM, QM and SD modules together with IBP and Ariba is advantageous.</li><li>Ability to support one other module is highly advantageous.</li><li>Manufacturing industry experience strongly preferred.</li><li>Familiarity with SAP S/4HANA environments.</li><li>Excellent communication skills and the ability to work with cross-functional teams.</li><li>Strong analytical, problem-solving, self-driven and able to work independently to meet timelines As our Business Analyst, SAP MM, you will design and optimize processes that integrate seamlessly with manufacturing and supply chain—providing accurate, timely, and actionable procurement insights.</li><li>This role focuses heavily on requirements gathering, gap-fit analysis, testing, documentation, solution design, reporting, support and adoption.&nbsp;</li><li>It also demands end-to-end ownership: from understanding business requirements and mapping processes, to hands-on SAP configuration, testing, and deployment.</li></ul>

Responsibilities: <ul><li>Select the desired employees and develop, implement, and monitor the programs and processes used in recruitment and selection.&nbsp;</li><li>They source, recruit, screen, interview and recommend external and/or internal candidates to staff open requisitions.&nbsp;</li><li>Utilize the services of employment agencies and/or place employment ads in appropriate sources, including the intranet, Internet, and print media.&nbsp;</li><li>Responsible for developing and implementing recruiting plans and administering talent management efforts and employee referral programs, managing the resume tracking system and ensuring consistent corporate image throughout recruiting campaigns.&nbsp;</li><li>Lead end-to-end recruitment, ensuring alignment with organizational strategy and culture.</li><li>Manage end-to-end hiring process: Source, resume screen, phone screen, schedule interviews, Offer documentation and onboarding</li></ul> Requirements: <ul><li>Minimum 6+ years of experience required for this role.</li><li>Should possess expert knowledge and innovative skills to source and attract active &amp; passive talent from different sourcing channels (job boards, social media, referrals and local outreach to identify potential candidates</li><li>Communication and Stakeholder management is key to be successful in this role as you work with global stakeholders and matrix organization</li><li>Good understanding of the engineering manufacturing industries in the local market, able to map talents, develop business intelligence for sourcing strategies and techniques</li></ul> Qualification <ul><li>Experience in handling end-to-end Talent Attraction Process [Source to Onboard]</li><li>Be able to develop Recruiting Strategies basis the skill demand and complexities</li><li>Expert knowledge and Hands-on in preparing market research, Market/Talent mapping using various tools such as Talent Neuron, Draup, LinkedIn Talent Insight</li><li>Data driven: able to analyse, slice &amp; dice data, develop insights from data and be able to make decisions to drive hiring strategies</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

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18 geological mapping Jobs found

Senior Manager - Customer Experience

Management Accounting Team lead ( VP2)

Senior Talent Acquisition Specialist

Forward Deployed AI Scientist

Business Analyst SAP SD

Business Analyst SAP PP

Business Analyst – SAP MM

TA Specialist

Senior Software Engineer AI

Software Engineer AI

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18 geological mapping Jobs found

Senior Manager - Customer Experience

Management Accounting Team lead ( VP2)

Senior Talent Acquisition Specialist

Forward Deployed AI Scientist

Business Analyst SAP SD

Business Analyst SAP PP

Business Analyst – SAP MM

TA Specialist

Senior Software Engineer AI

Software Engineer AI

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