Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

VP, Senior Data Engineering Manager

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist  VP2

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>Lead process integration (PI) structural uniformity and cross loop integration for critical modules (e.g., capacitance loop), owning end to end integration strategies to resolve yield, quality, and reliability gaps. </li><li>Drive physics&nbsp;and process based integration solutions through close collaboration with cross module process owners, PI subject matter experts, and key suppliers to optimise integration structures and achieve BIC yield and quality targets.</li><li>Develop and apply model based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry dependent effects) to diagnose structural non uniformity. Define, implement, and continuously strengthen critical inline monitoring and defence lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity.</li><li>Own and advance product integration programs and loop level domain expertise, maintaining deep technical knowledge across node transitions. </li><li>Proactively drive node over node “shift left” integration, including early implementation of uniformity, bevel, and backside best known methods (BKMs) during development phases to accelerate whole wafer (centre-to-edge) yield and quality ramp.</li><li>Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and performance gaps, and lead business process creation, optimization, and re engineering to improve benchmark performance, cycle time, and development productivity.</li><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.</li></ul> Requirements: <ul><li>Bachelors/Masters/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years experience in process related role in the semiconductor industry.</li><li>With more than 7 years of relevant industry experience/knowledges.</li><li>Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.</li><li>Good model-based problem solving, together with data-driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device-related issues, and address root cause.</li><li>Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to company sites as necessary for face-to-face collaboration.</li><li>Strong interpersonal skills and customer/co-worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.</li><li>Good multi-tasking, verbal and written communication skills.</li><li>Ability to apply baseline digital fluency and role appropriate AI literacy to use AI enabled tools responsibly and effectively for research, analysis, content creation, problem solving, operational tasks, and achieving business outcomes</li></ul>

Responsibilities: <ul><li>Enable technology ramp in high-volume production for CMOS and memory devices.</li><li>Improve device performance with a focus on variability reduction and robustness.</li><li>Support and execute design and test optimization to enhance manufacturability and performance.</li><li>Identify and implement process simplification and working methodology improvements.</li><li>Lead or actively contribute to cross-functional problem-solving for device, yield, and quality issues.</li></ul> Requirements: <ul><li>Minimum 5 years of relevant working experience is requiredA masters or Ph.Ddegree in Physics or Engineering areas is preferred.</li><li>Working experience in wafer fab process or process integration engineeringDirect experience in advanced CMOS device technology such as FinFET or GAA is preferable.</li><li>Proven knowledge in semiconductor physics and understanding of transistor operations, scaling limitations and reliability, basic knowledge of CMOS circuits and characterisation methods.</li><li>Understanding of wafer fabrication process areas, including tool sets, process mechanisms, tuning knobs, etc.</li><li>Excellent data analysis skills using software (JMP, SPOTFIRE, etc).</li><li>Strong task ownership, self-motivated to work with other team members to make progress collaboratively.</li><li>Open-minded attitude to learn new skills and could adapt to a new working environment swiftly.</li><li>Good digital literacy with MS OfficeProgramming capability such as Python is a plus.</li><li>Occasional international business travel is required for this position.</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>Responsible for sales and business development for Two-Wheeler (2W) OEM customers within clients Automotive Business Unit.</li><li>Drive key account growth, customer acquisition, and execution of Component Aggregate Manufacturer (CAM) and Harness Maker (HM) development strategies.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Drive revenue growth for assigned 2W OEM accounts across Karnataka &amp; Tamil Nadu Region</li><li>Develop and execute account strategies aligned with Automotive BU objectives</li><li>Maintain strong relationships with key stakeholders across OEMs including procurement, engineering, and program teams&nbsp;</li><li>Identify and develop new business opportunities with 2W OEMs and emerging EV players&nbsp;</li><li>Lead Component Aggregate Manufacturer (CAM) engagement activities including RFQs, pricing, negotiations, and contract closure&nbsp;</li><li>Collaborate with engineering and product teams for new product introductions and customization&nbsp;</li><li>Drive Harness Maker (HM) ecosystem development for increased wallet share&nbsp;</li><li>Track market trends, competitor activity, and customer strategy in 2W segment&nbsp;</li><li>Ensure accurate sales forecasting and pipeline management&nbsp;</li><li>Drive design-in activities and support project lifecycle from concept to SOP</li><li>Intensive travel &amp; expected to be at customer’s location (more than 75% working days) within Karnataka &amp; Tamil Nadu Region</li></ul> Key Performance Indicators (KPIs)&nbsp; <ul><li>Retention and growth of existing business across assigned accounts&nbsp;</li><li>Comprehensive competition mapping and strategic counter-planning&nbsp;</li><li>Deep understanding and effective promotion of our client portfolio&nbsp;</li><li>Driving new product development (NPD) aligned with customer needs&nbsp;</li><li>Achieve and exceed revenue growth targets year-on-year&nbsp;</li><li>Maintain healthy Accounts Receivable (AR) and ensure timely collections&nbsp;</li><li>Build and sustain a strong 5-year revenue pipeline&nbsp;</li><li>Identify, understand, and capitalize on future trends in the 2W (ICE &amp; EV) industry&nbsp;</li><li>Increase our client content per vehicle/platform&nbsp;</li><li>Coordinate with cross-functional teams (CFTs) to drive new project wins and execution&nbsp;</li><li>Strong understanding of 2W ICE and EV architectures to enable solution selling&nbsp;</li></ul> Requirements:&nbsp; Qualifications &amp; Experience&nbsp; <ul><li>Bachelor’s degree in Engineering (Mechanical/Electrical/Electronics preferred); MBA is a plus&nbsp;</li><li>5-10 years of experience in automotive sales/business development&nbsp;</li><li>Strong exposure to Two-Wheeler OEMs in India&nbsp;</li><li>Experience in connectors, wiring harness, or automotive components preferred&nbsp;</li><li>Proven track record in key account management and business growth&nbsp;</li></ul> Skills&nbsp; <ul><li>Strong negotiation and influencing skills&nbsp;</li><li>Excellent relationship management&nbsp;</li><li>Strategic thinking and execution&nbsp;</li><li>Technical understanding of automotive electrical/electronic systems&nbsp;</li><li>Strong communication and presentation skills&nbsp;</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 monitoring platforms and tools.</li><li>Define and implement monitoring standards, metrics, thresholds, and alerts.</li><li>Develop and maintain monitoring dashboards and reporting solutions.</li><li>Monitor application performance, system health, and service availability across enterprise environments.</li><li>Analyze monitoring data, identify trends, and proactively address potential issues.</li><li>Troubleshoot monitoring platform issues and work closely with support teams to resolve incidents.</li><li>Collaborate with application, infrastructure, and operations teams to improve monitoring coverage and effectiveness.</li><li>Drive continuous improvement initiatives in monitoring and observability practices.</li></ul> Requirements: <ul><li>Minimum 12 years of overall IT experience.</li><li>6-9 years of hands-on experience in Application Performance Monitoring (APM) or Observability.</li><li>Strong administration experience with monitoring tools such as:&nbsp;</li><li>Geneos</li><li>Grafana</li><li>Prometheus</li><li>Dynatrace and/or Datadog</li><li>AWS monitoring services</li><li>Experience creating and maintaining dashboards using Grafana, Power BI, SharePoint, or similar platforms.</li><li>Strong understanding of application performance, availability, capacity, and infrastructure monitoring.</li><li>Experience configuring monitoring rules, thresholds, alerts, and notification workflows.</li><li>Knowledge of incident management and ticketing tools such as Remedy and JIRA.</li><li>Strong troubleshooting, analytical, and stakeholder management skills.</li></ul>

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298 infrastructure lead engineer Jobs found

Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

VP, Senior Data Engineering Manager

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist VP2

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298 infrastructure lead engineer Jobs found

Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

VP, Senior Data Engineering Manager

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist VP2

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.