Supplier Quality Engineer

ASEAN Seating Sales Head

Project Manager Engineer

QC Laboratory Manager

Manager Customer Service & Trade Supply chain

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Commerical  Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Responsibilities: <ul><li>Act as a single-point-of-contact for topics and issues related to supplier quality within the Heredia, Costa Rica facility.</li><li>Lead supplier-related activities to ensure incoming quality is proactively planned, prepared, and ensured in advance before production part is approved and released.</li><li>Continually improve supplier performance through coaching, training, consequence enforcement, supplier awards and motivation, supplier restriction and disqualification, etc.</li><li>Measure and communicate supplier performance to those suppliers and the organization.</li><li>Evaluate, qualify, approve appropriate new, competitive suppliers (including search for new suppliers), in collaboration with the procurement teams.</li><li>Review and approve/reject/amend supplier Production Part Approval Process (PPAP) submissions for new product releases and qualifying changes to existing components.</li><li>Monitor quality data within the operating systems to ensure data accuracy and develop reporting systems to accurately document and record supplier trends and performance.</li><li>Periodically monitor quality specifications to ensure supplier compliance.</li><li>Work with engineering to clarify and change specifications regarding incoming goods when necessary.</li><li>Clearly communicate (and enforce) company requirements and expectations to suppliers.</li><li>Solicit, drive, monitor, review, approve, and validate containment/corrective/preventive actions by suppliers.</li><li>Facilitate supplier quality roadmaps leading to improved supplier performance.</li><li>Conduct process and system audits of suppliers and maintain working knowledge of ISO and TS quality system requirements.</li><li>Serve as Supplier Quality Lead / SME during internal audits and 3rd party inspections/audits (FDA, BSI).</li><li>Chair QBRs (Quarterly Business Reviews) with key suppliers.</li><li>Validate manufacturing and supplier processes, including activities associated with equipment installation qualification (IQ), operational qualification (OQ), and performance qualification (PQ).</li><li>Interact with cross-functional teams to resolve supplier-related quality issues.</li></ul> Requirements: Qualifications &amp; Background: <ul><li>Bachelor’s degree in Process Engineering, Manufacturing Engineering, or other engineering discipline plus 5+ years’ experience in a manufacturing environment.</li><li>Working knowledge and understanding of the Food and Drug Administration (FDA) 21 CFR 820 and International Organization for Standardization (ISO) – ISO 13485 and ISO 14971.</li><li>Bilingual (English / Spanish).</li><li>Experience in a Supplier Management role.</li><li>Experience conducting quality audits in a manufacturing environment.</li><li>Lean Six Sigma Green Belt Certification.</li><li>Proficiency in Microsoft Office.</li><li>Strong problem-solving and analytical skills for compiling and analyzing data.</li><li>Knowledge of DOE, SPC, Gage R&amp;R, and sampling plans.</li><li>Effective time management skills, applied to fast-moving and high-pressure environments.</li><li>Ability to work independently with little or no supervision, as well as in teams.</li><li>Willingness to travel (approximately 10%) to visit suppliers.</li></ul>

Responsibilities:&nbsp; <ul><li>Support sales VP to manage in charged ASEAN counties commercial + advance sales activities&nbsp;</li><li>Provides counsel, advice and recommendations on the competitive market trends, conditions and opportunities to assure proper consideration in the formulation of sales plans, customer strategies and guide related products strategy&nbsp;</li><li>Develops and manages specialized programs to acquire new business and improve existing business with profitable margin&nbsp;</li><li>Lead quotation activities and coordinate related department to deliver overall proposal on time and Lead price negotiation with customer until make final deal&nbsp;</li><li>Responsible for continuing margin improvement activities and manage normal ECN/VEVA etc change controls and LTA negotiation&nbsp;</li><li>Negotiates or assists in the negotiation of customer contracts&nbsp;</li><li>Maintains good relationships with OE customers, especially for key target customers and decision makers for collecting their needs and solve problems to exceed customers’ expectations&nbsp;</li><li>Keep alignments with related global/Asia sales group leaders&nbsp;</li><li>Support function head to complete long range plan and budget build up&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Fluent in English&nbsp;</li><li>Bachelor Degree in Arts (Engineer, Business, Finance, Economics)&nbsp;</li><li>Minimum of five (5) years working experience at Tier 1 or Tier 2&nbsp;</li><li>Minimum of Seven (10) years commercial Sales Experience&nbsp;</li><li>Reviewing cost and finance analysis model and build up quotation&nbsp;</li><li>Good communication and presentation skill&nbsp;</li></ul>

Responsibilities: Project Timeline: <ul><li>Identify and align projects goals and scope with PJM and PM, and breakdown tasks of tooling/process developments and qualification</li><li>Make/align tooling development and qualification timeline, assign tasks to Ops team include tooling development, materials purchase</li><li>Track and manage core team to execute project progress based on committed project schedule</li></ul> Project Cost: <ul><li>Lead Ops to simulate sample cost and production cost to achieve project landing zone target, lead Ops to optimize launch cost to the best</li><li>Budget and control scrap cost though leverage design and manufacturing process to meet project target during NPI phase</li></ul> Project Execution: <ul><li>Guide capacity planning, materials sourcing and manpower to support all builds in the plant.</li><li>Oversee the progression of tooling/process development, identify bottleneck and issues, organize Ops team to improve those bottleneck and issues.</li><li>Oversee risks assessment in project execution, stay interlock with PJM to make multination plan and conduct the planned activities in Ops.</li><li>Finalize the Safe Launch plan for the appropriate mix of product, tool capability and demand with the approval of the PjM, Quality, MDPE, and PjE. a. Lead Safe Launch team meetings to ensure successful HVM startup and manufacturing process qualification for attainment of required metrics for successful G5 handoff.</li><li>Align the budget with the Ops team with the tooling list provided by MPDE-A, control total capital spending against CER.</li><li>Lead and coordinate line setup to conduct LVM sample builds and coordinate HVM tool builds.</li><li>Lead Ops to make ramp up plan, include materials, operations and tool capacity ramp up, ensure manufacture team take over production control smoothly after G5.</li></ul> Product Sustaining: <ul><li>Product migration, as a receiving or sending leader to execute product move in or move out, including project timeline, investment, cost control, machine/material/manpower preparation, safety stock, safe launch, etc.</li><li>Lead product capacity analysis and expand it through re-investment per estimation.</li></ul> Requirements: <ul><li>Bachelor’s degree, engineering background is better</li><li>PMP certification preferred</li><li>At least 5 years related working experience in project management, 1~2 years’ experience in connector/cable/cable assembly is better</li><li>Fluent oral and written/reading in English</li><li>Experience in IT Project Manager, Data Center Business or digital networking project is an advantage.</li></ul>

Responsibilities: <ul><li>Establish and lead the QC laboratory, including analytical and microbiological functions, supporting sterile injectable IV bag production.</li><li>Oversee all testing activities: raw material, in-process, finished product, and stability testing, in compliance with applicable cGMP and regulatory requirements.</li><li>Support and manage startup, qualification, calibration, and maintenance of all QC lab equipment and systems to ensure operational readiness and regulatory compliance.</li><li>Develop and enforce strong data integrity practices, including procedures, training, and routine monitoring of laboratory systems and documentation.</li><li>Build and maintain a scientifically sound, compliant laboratory environment capable of supporting high-potent APIs and controlled substances.</li><li>Hire, train, and mentor laboratory personnel to ensure technical capability and compliance with laboratory and safety procedures.</li><li>Implement and maintain robust systems for documentation (SOPs, protocols, specifications), investigations (OOS, deviations), and CAPA management.</li><li>Lead and support analytical method transfers, validations, and technical investigations in collaboration with cross-functional teams.</li><li>Oversee microbiology operations, including environmental monitoring, utility sampling, sterility testing, and microbiological release activities.</li><li>Ensure inspection readiness and represent QC in audits, PAIs, and regulatory inspections.</li><li>Collaborate cross-functionally with QA, Validation, Engineering, Manufacturing, and Regulatory to ensure alignment and compliance across the site.</li><li>Ensure adherence to safety protocols, especially in handling high-potent materials and controlled substances.</li><li>Establish laboratory KPIs and drive continuous improvement in performance, compliance, and operational efficiency.</li></ul> Requrements: Qualifications / Experience: <ul><li>Bachelor’s or Master’s degree in Chemistry, Microbiology, or related scientific discipline.</li><li>8–12 years of pharmaceutical QC laboratory experience, including 3–5 years in a leadership role.</li><li>Experience with sterile injectable manufacturing, high-potent APIs, and controlled substances is required.</li><li>Deep knowledge of cGMP, FDA, ICH, USP, and applicable global regulatory standards.</li><li>Experience with startup or greenfield sites and laboratory buildouts preferred.</li><li>Demonstrated experience with method transfer, validation, and technical problem-solving.</li><li>Experience establishing equipment lifecycle programs, including qualification and maintenance.</li></ul> Skills / Competencies: <ul><li>Strong leadership with ability to build and develop high-performing lab teams.</li><li>Excellent technical knowledge in analytical and microbiological testing.</li><li>Deep understanding of data integrity principles and enforcement of best practices.</li><li>Proficiency in laboratory systems (LIMS, CDS, ELN) and equipment qualification.</li><li>Ability to manage complex lab operations in a startup environment.</li><li>Strong project management, documentation, and communication skills.</li><li>Commitment to patient safety, quality, and regulatory compliance.</li></ul>

Responsibilities: Customer Service: <ul><li>Manage a team of 4-5</li><li>Advance best in class customer relations via Quality, Delivery, Innovation and Responsiveness</li><li>Develop/Lead customer engagement projects and processes focused onIncreasing customer forecast accuracy</li><li>Review demand forecasts and order priority with production planning &amp; control team; establish supply schedules for raw material based on production schedule in S&amp;OP meetings</li><li>Resource and capacity planning for work load assessment.</li><li>Developing behavior analytics which enhance proactive customer engagement focused on minimizing waste and increasing the customer experience</li></ul> Trade Supply Chain Management: <ul><li>Manage a team of 4-5</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&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree preferred</li><li>MBA</li><li>15 years + relevant customer experience management background required.</li><li>SAP – 10+ years’ experience</li><li>Extensive transactional working experience in manufacturing industry under CS &amp; Supply chain.</li><li>Knowledge/understanding of Customer Relationship Management/CRM systems.</li><li>Preferred experience of Aerospace and Defense.</li></ul>

Role Description:&nbsp;<ul><li>Design &amp; Development of automotive connector system.</li></ul> Responsibilities: <ul><li>Responsible for mechanical design of Connectors based on customer requirement for TS.</li><li>Responsible to carry out detailed mechanical design work including 3D modelling, Proposal /detail drawings for costing / production, initiating simulation and prepare design verification / product validation plan per requirement.</li><li>Responsible for choosing standard parts, features, material as per internal guidelines which would meet the internal / customer target process and cost.</li><li>Responsible for preparing and presenting design reviews per manufacturability, update design per suggestion and keep record.</li><li>Responsible for carrying out design change requests in a timely manner / own the product responsibility&nbsp;</li></ul> Requirements: <ul><li>B.E/B. Tech in Mechanical Engineering (equivalent) / Diploma with Post graduation&nbsp;</li><li>Knowledge about various phases of product realization / product development.</li><li>Knowledge of state-of-the-art design tools such as Creo / CAD tools,</li><li>Basic knowledge in manufacturing process (Machining, Molding, Stamping, Plating, etc.,)</li><li>Following are added advantage - Geometric Dimension &amp; Tolerancing (GD&amp;T), GPS, Electrical &amp; Electronic Components design and Development.</li><li>1-4 years of experience in Concept Design and Development of products preferably in plastic and stamped parts.</li><li>Good knowledge in Creo software / CAD tools, PDM windchill / Similar,</li><li>Basic knowledge about Tolerance stack-up and GD&amp;T / GPS</li><li>Basic knowledge on Plastics &amp; Sheet Metal components will be added advantage.</li><li>Good Conceptual, problem solving and Analytical Skills.</li><li>Ability to communicate effectively and accurately across multi-cultural groups.</li><li>Excellent Communication and Presentation skills.</li></ul>

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

Role Description: <ul><li>We change the World; you will become passionate about your employer and the brand you represent. Everything is converging on the Internet, making networked connections more significant than ever before in our lives.</li><li>Our employees groundbreaking ideas impact everything.</li><li>Here, that means we take creative ideas from the drawing board to dynamic solutions that have real world impact.</li><li>Youll be part a team that cares about its customers, enjoys having fun, and youll take part in changing the lives of those in our local communities.</li><li>Come prepared to be encouraged and inspired.</li><li>The India Strategic Enterprise Segment is a truly vibrant sales organization that covers the diverse set of accounts in the Enterprise Space.</li><li>This position will be based out of Mumbai and will focus on a specific set of Enterprise accounts.</li><li>As part of the Enterprise System Engineering Team, you will be designing, architecting and empowering the strategy for the next generation of communications and application delivery for India’s leading businesses.</li><li>Youll collaborate as part of a disruptive Sales engineering team. We offer exhilarating, inspiring, global, high impact, and uniquely broad opportunities for your growth.</li></ul> Responsibilities <ul><li>Technical sales professional serving as a Technology/Product/Solution consultant.</li><li>Technical orchestrator for an array of resources, primary responsibility for ensuring successful completion of each pitstop from a technical perspective in the lifecycle selling motion.</li><li>Provides technical information and design/implementation mentorship in concert with Architecture Seller team(s).</li><li>Collaborates with the Account Manager on the customer account plan(s), jointly ensuring customer success.</li><li>Work with internal teams to orchestrate right solutions against customer requirements with competitive positioning</li><li>Educate customer on differentiation and establish technical leadership of our client as a brand.</li><li>Field role that serves as a Technology expert across solutions preferably within a multi-domain architecture approach.</li><li>Build relationship with Engineering Teams, field teams, architecture team, Business Units (BUs), Partners and customers.</li></ul> Requirements: <ul><li>Bachelor of Engineering degree or equivalent.</li><li>Excellent written, verbal communication, listening skills.</li><li>Min 10-12 years of presales experience in technical position .</li><li>Has prior experience in solution selling around products and technology.</li><li>Highly motivated, willing to learn and demonstrate high level of adaptability towards technology shift.</li><li>Understand the broader aspects of end to end architecture and have knowledge on one or more technology areas like Enterprise networks, Data center or Security.</li><li>Optimally handle objections in a customer conversation and lead with value selling.</li><li>Technical knowledge in the Networking Solutions/SDN Architecture/Network Security /Datacenter Networking technologies.</li><li>Strong whiteboarding/presentation skills.</li><li>Strong communication skills.</li></ul>

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

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143 material engineer Jobs found

Supplier Quality Engineer

ASEAN Seating Sales Head

ASEAN Seating Sales Head

Project Manager Engineer

QC Laboratory Manager

Manager Customer Service & Trade Supply chain

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Commerical Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

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Skills

Industry

Location

Jobtitle

143 material engineer Jobs found

Supplier Quality Engineer

ASEAN Seating Sales Head

ASEAN Seating Sales Head

Project Manager Engineer

QC Laboratory Manager

Manager Customer Service & Trade Supply chain

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Commerical Solution Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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JOBS BY LOCATIONS

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