Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Director of Technology (Product Development)

Role Description: <ul><li>The Jobholder is responsible for the overall management of Turkey supplier base within assigned raw and packaging material categories.</li><li>She/he will be ensuring excellent execution of the Global / Regional Category strategy and lead the COGs saving projects.</li><li>The job holder will handle the day-to day management of her/his materials supply base including supplier performance.</li><li>She/he is responsible for ensuring that materials for the factories are delivered as per the established KPIs by the relevant internal stakeholders.</li></ul> Responsibilities: Maximize value for money <ul><li>Establish procurement strategies for raw pack materials in line with global/regional category teams.</li><li>Lead the development and execution of Cost of Goods Sold (COGS) initiatives and specification changes in coordination with the relevant stakeholders.</li><li>Own Resilience program in Turkey in collaboration with SQA &amp; R&amp;D driving dual sourcing target.</li><li>Negotiate and challenge suppliers quality, price (where appropriate, non-regional/global category materials), service, lead times, minimum order quantities &amp; payment terms to get the best value for every dollar spent.</li><li>Provide Commercial leadership for new supplier introductions and approvals.</li><li>Provide local management of Purchase Price Variance (PPV) and buying performance metrics.</li></ul> Optimize and protect the supply chain <ul><li>Contribute to World-class management of Working Capital through Day Raws and Packs Outstanding (DRPO) initiatives (e.g. stock reductions).</li><li>Manage the contracting process including request for quotation (RFQs) &amp; tenders (where appropriate, non-regional/global category materials) and contract creation &amp; PO issuance (samples) in line with the policies and procedures.</li><li>Manage Mars Intellectual Property with the support of the regional IP Commercial representatives, using the appropriate Confidentiality agreements and supply contracts to ensure is protected. Ensure responsible and continuous supply.</li><li>Provide local expertise and market intelligence for the global category teams.</li><li>Provide Commercial leadership for new supplier introductions and approvals.</li><li>Provide necessary support to internal stakeholders in ensuring supply continuity, supplier issues, non-conformance, managing stocks and pipelines. o Ensure zero runouts due to materials availability.</li><li>Support SQA in developing supplier performance scorecards and provide commercial leadership for the proactive measurement of supplier performance (Supplier compliance scorecards).</li><li>Manage &amp; develop day to day relationship with suppliers and provide commercial leadership to resolve disputes, supplier issues and non-conformance when site internal stakeholders are unable to during the contractual period.</li><li>Monitor commodity trends periodically and provide local expertise and market intelligence for the global category teams to anticipate future risks/opportunities</li><li>Provide support to sustainability initiatives (local/regional/global) to ensure compliance to targets in relation to materials.</li><li>Work closely with internal stakeholders &amp; suppliers to ensure the right specifications are purchased.</li><li>Responsible for the requisition-to-pay process for the assigned scope of purchases and ensures that demands are met.</li></ul> Leverage External Capabilities <ul><li>Provide local expertise and market intelligence for the global category teams.</li><li>Provide Commercial leadership for new supplier introductions and approvals.</li></ul> Requirements: <ul><li>Bachelors degree - 1-3 years of Commercial/Purchasing experience preferably in the Fast-Moving Consumer Goods (FMCG) field - Fluent in English.</li><li>Preferably knowledge of SAP MM Modul Advanced user of MS Office applications especially Excel</li></ul>

Responsibilities: <ul><li>Collaborate with multi-functional network teams from PIE, Process &amp; Equipment Engineering, WLR, TD to improve product yields and reliability within your assigned process loop.</li><li>May require travel to global company sites to foster collaboration and drive execution.</li><li>Communicate module related issues to the Fab engineering and leadership teams.</li><li>Design, execute, and analyze experiments to improve fab process, yield, and quality.</li><li>Collect and interpret complex data to optimize Fab processes and increase yields.</li><li>Engage and/or lead cross-area engineering teams to tackle process issues.</li><li>Work closely with global partners to stay ahead of on module related topics and process alignment projects.</li><li>Collaborate with other PI module owners and sister fabs to drive business process alignment</li><li>Partner with IE, Process and Equipment Engineering and Production to better forecast and balance yield, output and process issues</li><li>Promote network synergy through improved benchmarking and standardization of known engineering best-known methods (BKMs), business process.</li></ul> Requirements: <ul><li>Bachelor’s or advanced degree in Engineering or Science is required</li><li>Strong analytical, logical, and critical thinking skills</li><li>Effective communicator, able to collaborate across all levels</li><li>Growth mindset with a passion for continuous learning</li><li>Internship or experience in the semiconductor industry is a plus</li><li>Demonstrated leadership and a track record of impact are highly desirable</li><li>Interest in and knowledge of the semiconductor industry and company is preferred.</li></ul>

Responsibilities: <ul><li>Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering</li><li>innovation and new approaches to solving enterprise technical challenges.</li><li>Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.</li><li>Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous</li><li>improvement to reduce complexity, increase consistency, and accelerate delivery.</li><li>Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,</li><li>observability, orchestration, automated deployment, data protection, and secure data consumption.</li><li>Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.</li><li>Partner with company leaders, the Data Office, Supervisory Affairs, Risk &amp; Compliance, other process owners, and other Technology and Business</li><li>stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.</li><li>Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.</li><li>Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on</li><li>team effectiveness.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment</li><li>Minimum of 5 years of data engineering experience leveraging public cloud capabilities.</li><li>Minimum of 7 years of experience in a large complex organization</li><li>Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.</li><li>Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders</li></ul>

Role Description: <ul><li>Automotive Industry offers products for vehicle electrification systems like chassis systems, convenience applications, driver information, infotainment solutions, miniaturization solutions, motor and powertrain applications etc.&nbsp;</li><li>The client Automotive BU is focused on developing new and improved vehicle architecture approaches to efficiently address these challenges in Connectivity from power to propulsion and safety.&nbsp;</li><li>The Manager R&amp;D Product development contributes to the development of organizational strategy and supports in implementation of operational plans.</li><li>Being part of Product development team responsible to develop for new products and sustenance of existing product lines of Automotive business unit of client.</li><li>This position drives development of PCB connectors for automotive applications including Board to Board, Wire to Board and Flex to Board connectors.</li></ul> Responsibilities: <ul><li>Managing experienced professional and/or supervisors who exercise independence in their assignments and providing them with the required guidance and also be a strong technical contributor.</li><li>Providing strategic leadership to foster growth of the business.</li><li>Interacting and cooperating with multiple organizational levels to meet schedule and technical expectations.</li><li>Administrating schedules and ensuring performance requirements.</li><li>Providing knowledge of engineering tools such as Creo, etc. and product domain expertise in multiple projects.</li><li>Assist Inside Device Connectivity (InDeCo) engineering teams with New Product Developments across a range of projects and executing on cost optimization/reduction (VA/VE) opportunities for the business.</li><li>Preparing design verification test plans, Design &amp; Process FMEAs.</li><li>Successfully facilitate transfer and support of new product introduction (NPI) into high volume manufacturing.</li><li>Contributing to technical function initiatives across various initiatives.</li><li>Reverse Engineering and benchmarking of competitor products.</li><li>Support product environmental compliance and approvals for all new products and platforms as required by our customers.</li><li>Be a strong technical partner and provide support to Product management teams.</li><li>Attend/support customer meetings, technology days and site visits as required.</li></ul> Requirements: <ul><li>Master’s degree in mechanical engineering or equivalent is preferred with minimum 8 years of experience in related fields.</li><li>Mechanical or equivalent engineering Degree with minimum 10 years of related product development experience.&nbsp;</li><li>Experience with product design of PCB Connector such as Board to Board, Flex to Board, Wire to Board is essential.</li><li>Knowledge in product design of plastic, terminals (sheet metal), fine pitch connectors, rubber components.</li><li>Working knowledge of driving diversity and inclusion, customer/market focus, result orientation, managing multiple priorities, envisioning the future, coaching and developing people and collaborating across boundaries</li><li>Extensive experience executing plans in a disciplined way and in holding people accountable.</li><li>Organized, methodical and self-motivated individual.</li><li>A person with the ability to achieve goals and the highest standards of performance in a dynamic fast paced environment.</li><li>Attention to detail and on time delivery.</li><li>Excellent judgment, timely and high-quality decision-making skills.</li><li>Proven ability to execute engineering deliverables.</li><li>Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives.</li><li>Fluent communication skills facilitate collaboration with own team, customers, internal business leaders and technology leaders to create value.</li><li>Individual must be self-motivated, have strong planning skills and be able to deal with and balance multiple competing priorities.</li></ul> Functional: Mandatory: <ul><li>Working knowledge of product development (Processes, Approaches, Tools and Techniques) &amp; Validation</li><li>Working knowledge of manufacturing processes like injection Mold, plating, assembly &amp; High-speed stamping</li><li>Working knowledge to apply Six Sigma / DFSS methodology to design, development, and delivery of technology products and process.</li><li>Working knowledge in use of CAD systems (CREO Part modeling &amp; Sheet Metal)</li><li>Interpretation of simulation results &amp; translating into product design</li><li>Working knowledge in Design for Manufacturability (DFM) &amp; FMEA&nbsp;</li><li>Proficient in Tolerance stack-up and GD&amp;T</li><li>Ability to generate design concepts and solve design problems&nbsp;</li><li>Working knowledge in prototyping methods</li><li>Working knowledge in Manufacturing process (Molding / Stamping / Plating)</li><li>Understanding of linear and non-linear analysis</li><li>Working knowledge of product life cycle.</li><li>Basic Knowledge in quality tools (8D, Why Why analysis, Fish bone….)</li><li>Awareness of recognition &amp; protection of IP (intellectual property) features</li><li>Basic knowledge of PPAP documentation.</li></ul> Preferred: <ul><li>Knowledge of customer application&nbsp;</li><li>Experience in development of automotive signal and power connectors.</li></ul> Department specific: <ul><li>Exposure to PCB Connector design</li><li>Ability to understand specifications for validation as per US CAR / LV 214 / Similar Specification</li><li>Knowledge about crimping technologies, Ultrasonic welding technologies, Laser welding technologies</li></ul>

Roe Description: <ul><li>Transportation Solutions BU makes products for Connecting and Sensing Data, Power and Signal for vehicles ranging from Two wheelers to Heavy Commercial trucks.</li><li>There is a clear business strategy till 2025 to support the business growth. The growth is driven mainly driven from localization of Core India Specific products and also New technology products.</li><li>To establish “Single source of Truth” by integrating and maintaining all Key performance metrics of SCM/CS LIVE through Tableau/Power BI</li><li>To define the Capacity/Demand ratio for each part at each source location and make a trigger mechanism for new capacity&nbsp;</li><li>To optimize the supply network by exploring opportunities to increase sea vs Air movement from Source country to India Warehouse and exploring clubbing opportunities at Source.&nbsp;</li><li>Need to closely work with SCM team and Global Logistics team for integrated results.</li><li>To continuously monitor the ageing stock (SCM) and ageing orders (CS)</li></ul> Responsibilities: Capacity/Demand ratio: <ul><li>Establish the C/D ratio of each part in each source plant and work with Planner for getting enhanced capacity as per demand.</li><li>Also work with Demand team and Sales &amp; Marketing to get validated 24 months forecast</li></ul> Supply Network Optimization: <ul><li>To optimize the supply network by exploring opportunities to increase sea vs Air movement from Source country to India Warehouse and also exploring clubbing opportunities at Source.&nbsp;</li><li>Need to closely work with SCM team and Global Logistics team for integrated results.</li></ul> Monitor ageing stock and orders: <ul><li>To continuously monitor the ageing stock (SCM) and ageing orders (CS) and work with CS/SCM/sales &amp; marketing to liquidate those stocks/orders.</li></ul> Analytics: <ul><li>Work with application and product marketing and managing alternate part master.</li></ul> Requirements:&nbsp; <ul><li>MBA in Supply Chain&nbsp;</li><li>Expertise in Excel</li><li>Understanding of Tableau/Power BI</li><li>Understanding in SAP IBP</li><li>2 to 5 years of experience Handling large scale transformational SCM projects like SAP IBP/APO.</li><li>Extensive exposure to Excel/Macros.</li><li>Experience in Plant production planning.</li><li>SAP IBP - Conduct the IBP execution starting from demand review, supply review and integrated reconciliation</li><li>Strategic agility - Long Term capacity planning.</li><li>Supply network planning - Supply Network optimization by choosing the right network (Factory - SKU’s – Depot) based on the minimum total delivered cost (Freight Cost, Conversion Cost, Raw material cost and Tax benefit).</li><li>Frequency from factory to warehouse).</li><li>Ability to understand customer requirements.</li><li>Stakeholder alignment - Developing relationships and partnerships with key customers, industry leaders and core suppliers.</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Administer and support enterprise VDI platforms including Omnissa Horizon, VMware ESXi, Citrix, and Nutanix environments.</li><li>Perform daily monitoring, maintenance, and operational support for VDI infrastructure and virtual desktop services.</li><li>Support endpoint management platforms including Microsoft Intune and Microsoft Endpoint Configuration Manager (MECM/SCCM).</li><li>Assist with device provisioning, software deployment, operating system patching, and endpoint compliance activities.</li><li>Support endpoint security technologies including Microsoft Defender for Endpoint and Trellix Endpoint Security.</li><li>Investigate, troubleshoot, and resolve VDI, endpoint, and endpoint security incidents.</li><li>Perform root cause analysis and support service restoration activities for production incidents.</li><li>Support platform upgrades, patching, maintenance windows, and technology refresh initiatives.</li><li>Monitor platform health, identify issues proactively, and escalate complex issues where required.</li><li>Maintain operational documentation, technical procedures, and support records.</li><li>Collaborate with infrastructure, network, security, and application support teams on issue resolution and platform improvements.</li><li>Participate in after-hours support and maintenance activities when required.</li></ul> Requirements: <ul><li>3-7 years of experience in End User Computing (EUC), VDI, or Endpoint Infrastructure support.</li><li>Hands-on experience supporting:&nbsp;</li><li>Omnissa Horizon / VMware Horizon</li><li>VMware ESXi and vCenter</li><li>Microsoft Intune</li><li>Microsoft Endpoint Configuration Manager (MECM/SCCM)</li><li>Microsoft Defender for Endpoint</li><li>Experience supporting enterprise-scale VDI environments.</li><li>Strong troubleshooting skills across virtual desktop and endpoint platforms.</li><li>Experience supporting production environments and incident management activities.</li><li>Good understanding of endpoint lifecycle management, software deployment, and patch management.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>

Responsibilities: <ul><li>Lead and develop a multidisciplinary technology team across chamber design, process development, systems engineering, controls, and integration.</li><li>Define and execute the chamber technology roadmap, product architecture, risk retirement plans, and development milestones.</li><li>Drive end-to-end technical execution of chamber development programs to meet performance, schedule, cost, quality, and reliability goals.</li><li>Provide technical guidance on chamber hardware, process performance, plasma or chemical interactions, materials compatibility, defectivity, cleanliness, and manufacturability.</li><li>Partner with product management, manufacturing, supply chain, service, and customer-facing teams to deliver customer-focused product solutions.</li><li>Lead customer issue resolution, including containment, root-cause analysis, corrective actions, recovery plans, and long-term product improvements.</li><li>Represent the technology organization in customer engagements, executive reviews, technical reviews, and escalation discussions.</li></ul> Requirements: <ul><li>Bachelor’s degree or higher in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Materials Science, Physics, or a related technical discipline; advanced degree preferred.</li><li>Significant experience leading semiconductor equipment, process module, or chamber development programs.</li><li>Proven ability to lead technical teams and drive cross-functional execution in a global, matrixed organization.</li><li>Strong knowledge of product development lifecycle, including feasibility, design validation, process integration, NPI, reliability, and manufacturing readiness.</li><li>Excellent communication and stakeholder management skills, with the ability to influence executive, customer, and engineering audiences.</li></ul>

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189 cost engineer gm Jobs found

Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Director of Technology (Product Development)

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189 cost engineer gm Jobs found

Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Director of Technology (Product Development)

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.