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Aerotek Manufacturing Ltd Jobs overseas

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Senior Data Scientist – Manufacturing Intelligence, Machine Learning & AI at Ford Motor Company
Portland, Oregon, United States - Full Time
Skills Needed
Python, Sql, Machine Learning, Anomaly Detection, Time Series Analysis, Gcp, Mlops, Feature Engineering, Statistical Modeling, Bigquery, Vertex Ai, Semantic Modeling, Data Pipelines, Supervised Learning, Unsupervised Learning, Data Visualization
Specialization
Requires a degree in a technical field and 5+ years of professional experience in data science and machine learning. Proficiency in Python, SQL, and cloud platforms (preferably GCP) is essential, along with the ability to handle noisy industrial data.
Experience Required
Minimum 5 year(s)
Senior Specialist Manufacturing Engineering – Hydraulic and Industrial Hose at Continental
Hanover, Lower Saxony, Germany - Full Time
Skills Needed
Manufacturing Engineering, Process Industrialization, Hydraulic Hose Manufacturing, Industrial Hose Manufacturing, Extrusion, Braiding, Curing, Pressure Testing, Crimping, Fat/Sat, Technical Leadership, Problem Solving, Supplier Coordination, Process Optimization, Project Management, English Fluency
Specialization
Requires a degree in Mechanical, Manufacturing, Materials Engineering, Chemistry, or a similar field with extensive experience in hose manufacturing. Must be fluent in English and willing to travel globally 40-50% of the time.
Experience Required
Minimum 10 year(s)
製造業界向けセールスマネージャー(SAPソリューション/自動車業界IT）/ Sales Manager for Manufacturing indus at Capgemini Portugal
Tokyo, , Japan - Full Time
Skills Needed
Account Management, Sap Solutions, It Consulting, Strategic Thinking, C Level Communication, Solution Selling, Contract Negotiation, Business Analysis, English Proficiency, Japanese Proficiency, Salesforce, Microsoft Office, Project Management, Stakeholder Management, Rfp Response, Digital Transformation
Specialization
Requires sales experience in intangible goods such as IT software or consulting, with specific knowledge of the Japanese automotive or manufacturing industries. Must possess high-level communication skills in both Japanese and English to manage stakeholders and lead complex projects.
Experience Required
Minimum 5 year(s)
Manufacturing Team Member I - 1st shift - 5am-3:30pm - Mon-Thurs - KTB at ZAH Group
Mansfield, Texas, United States - Full Time
Skills Needed
Semi Automated Equipment Operation, Light Assembly, Packaging, Press Operations, Quality Inspection, Measuring Tools, Blueprint Reading, Troubleshooting, 6s Standards, Lean Manufacturing, Basic Math, Computer Skills
Specialization
Requires a high school diploma or equivalent with basic English, math, and computer skills. Candidates must be able to lift up to 35 pounds and work overtime as needed.
Field Marketing Manager – Industry Marketing Manufacturing/Automotive at ServiceNow
Munich, Bavaria, Germany - Full Time
Skills Needed
Field Marketing, Demand Generation, B2b Marketing, Event Management, Strategic Planning, Data Analysis, Roi Analysis, Campaign Management, Vendor Management, Sales Alignment, Crm, Tableau, Microsoft 365, Ai Tools, Communication, Project Management
Specialization
Requires a Bachelor or Master's degree in business or marketing and several years of B2B field marketing experience in the technology sector. Candidates must possess exceptional communication skills in German and English and the ability to travel within the region.
Experience Required
Minimum 2 year(s)
Manufacturing Operations Technical Programme Manager – Silicon and Packagin at Fractile
Bristol, England, United Kingdom - Full Time
Skills Needed
Technical Programme Management, Semiconductor Production, Packaging Design, Supply Chain Management, Foundry Management, Osat Management, Npi, Risk Management, Project Planning, Cross Functional Execution, Jira, Confluence, Plm Systems, Yield Tracking, Production Ramp, Stakeholder Management
Specialization
Requires 5+ years of technical project or programme management experience in semiconductors or complex hardware. Must have a strong understanding of semiconductor production flows and experience working with foundries and contract manufacturers.
Experience Required
Minimum 5 year(s)
Business Development Director - Manufacturing, Infrastructure and Environme at Version 1 Cedar
London, England, United Kingdom - Full Time
Skills Needed
Consultative Selling, Business Development, C Suite Engagement, Pipeline Management, Digital Transformation, Strategic Partnership Management, Financial Forecasting, Value Proposition Development, Contract Negotiation, Stakeholder Management, Lead Generation, Tender Response Writing
Specialization
Proven track record of consultative selling to CxO level stakeholders and achieving sales targets against global systems integrators. Deep knowledge of business-technology topics relevant to manufacturing, infrastructure, and environmental sectors.
Experience Required
Minimum 10 year(s)
Manufacturing Engineering Technology Innovation Industrialisation Program L at Syngenta Group
Muttenz, Basel-Landschaft, Switzerland - Full Time
Skills Needed
Project Management, Industrialization, Manufacturing Engineering, Technology Transfer, Stage Gate Process, Cross Functional Leadership, Process Innovation, Business Case Development, Roi Tracking, Capex Management, Procurement, Operational Integration, Sustainability Impact Analysis, Productivity Improvement, Stakeholder Management
Specialization
Requires a Master’s degree in Engineering or Technology and over 7 years of experience in manufacturing or innovation roles. Candidates must demonstrate a proven track record in scaling up industrial technologies and managing cross-functional projects.
Experience Required
Minimum 5 year(s)
Account Executive - Manufacturing & Automotive (all genders) | ClimateTech at Carbmee
Berlin, Bavaria, Germany - Full Time
Skills Needed
Enterprise Saas Sales, B2b Sales, Lead Generation, Negotiation, Crm Management, Value Driven Selling, Pipeline Management, Strategic Thinking, English Fluency, German Fluency, Account Management, Market Analysis, Stakeholder Management, Land And Expand Strategy, Carbon Management, Presentation Skills
Specialization
Requires extensive experience in B2B enterprise SaaS sales and fluency in both German and English. Candidates should have a strong business acumen and a preference for experience in heavy industries like automotive, manufacturing, or logistics.
Experience Required
Minimum 5 year(s)
Senior Supervisor, Wafer Manufacturing - B Shift (Sun-Tues & alternating We at Western Digital
Fremont, California, United States - Full Time
Skills Needed
Leadership, Semiconductor Manufacturing, Statistical Process Control, Lean Manufacturing, Six Sigma, Dmaic, Project Management, Data Analysis, Problem Solving, Communication, Staffing Management, Performance Management, Photolithography, Thin Film Deposition, Wet Etch, Excel
Specialization
Requires a Bachelor of Science in Engineering, Chemistry, Physics, or a related field. Preferred experience includes knowledge of semiconductor wafer processes, SPC systems, and Lean Manufacturing principles.
Experience Required
Minimum 5 year(s)
Manufacturing Engineer – Standard Operating Instructions (SOI) (all gender) at Alten
Donauwörth, Bavaria, Germany - Full Time
Skills Needed
Standard Operating Instructions, Technical Documentation, Sap Production Modules, Catia V5, Manufacturing Engineering, Engineering Drawings, Process Documentation, Technical Communication
Specialization
Requires professional experience in Manufacturing Engineering or Technical Documentation with proven expertise in creating industrial work instructions. Proficiency in SAP, CATIA V5, and fluent English are required.
Experience Required
Minimum 2 year(s)
Strategic Lead Manufacturing Design Engineer (MDE), Materials Development a at Apple
, California, United States - Full Time
Skills Needed
Materials Engineering, Manufacturing Design, Decarbonization Strategy, Supply Chain Strategy, Material Characterization, Project Management, Cross Functional Leadership, Lifecycle Assessment, Vendor Negotiation, Polymer Processing, Metals Processing, Technical Roadmapping
Specialization
Requires 5+ years of experience in materials or manufacturing engineering with deep knowledge of metals or polymers. A bachelor's degree in a relevant engineering or science field is preferred, along with an MBA for strategy roles.
Experience Required
Minimum 5 year(s)
Expressions of Interest - Supply Chain & Manufacturing - Lactalis Sth Brisb at Asahi
Nungurner, Victoria, Australia - Full Time
Skills Needed
Equipment Operation, Warehouse Management, Production Planning, Team Leadership, Continuous Improvement, Asset Care, Troubleshooting, Safety Management, Quality Control, Distribution
Specialization
Proven experience in manufacturing, production, or distribution with a strong commitment to safety and quality. Qualifications in Electrical, Mechanical Fitting, Boiler, or Leadership are preferred.
Experience Required
Minimum 2 year(s)
Lead Human Relations Business Partner (Manufacturing - Onsite in Sumter, SC at Continental
Sumter, South Carolina, United States - Full Time
Skills Needed
Employee Relations, Performance Management, Hr Leadership, Strategic Planning, Compliance, Recruiting, Compensation, Training And Development, Coaching, Data Driven Decision Making, Process Improvement, Workforce Engagement, Conflict Resolution, Change Management, Project Management, Stakeholder Management
Specialization
Requires a Bachelor's degree and at least 7 years of relevant HR experience, specifically within the manufacturing sector. Must have a proven track record of leading HR teams and managing complex employee relations and performance practices.
Experience Required
Minimum 5 year(s)
Technician 1 PLM (Production, Assembly, Manufacturing) 4 different shifts a at AST SpaceMobile
Midland, Texas, United States - Full Time
Skills Needed
Quality Assurance, Technical Drawing Interpretation, Cad Models, First Article Inspection, Qms Compliance, Precision Measuring Tools, Aerospace Manufacturing, Electrical Assembly Inspection, Mechanical Assembly Inspection, Nonconformance Documentation
Specialization
Requires a high school diploma or GED and experience with quality assurance principles and technical drawings. Preferred candidates have an associate degree and 3+ years of inspection experience in aerospace or military environments.
Experience Required
Minimum 2 year(s)
Aseptic Manufacturing Technician I - Night Shift B [Contract to Hire] at Iovance Biotherapeutics
Philadelphia, Pennsylvania, United States - Full Time
Skills Needed
Aseptic Technique, Gmp Manufacturing, Cell Culture, Cleanroom Operations, Environmental Monitoring, Good Documentation Practices, Cryopreservation, Biosafety Cabinet Operation, Visual Inspection, Microsoft Office, Material Transfer, Inventory Management
Specialization
Requires a Bachelor's degree or equivalent experience with 0-1 years of experience in biopharmaceutical GMP operations. Candidates must be able to pass a vision exam and meet physical demands including wearing full PPE and lifting up to 50 pounds.
Senior Production Supervisor, Wafer Manufacturing (Thurs-Sat & alternating at Western Digital
San Jose, California, United States - Full Time
Skills Needed
Leadership, Semiconductor Manufacturing, Statistical Process Control, Lean Manufacturing, Six Sigma, Dmaic, Sql, Vba, Project Management, Problem Solving, Data Analysis, Communication, Staffing Management, Performance Management, Kaizen, Mesa
Specialization
Preferred Bachelor's degree in Engineering, Chemistry, Physics, or a related field with knowledge of semiconductor wafer manufacturing. Requires experience in leadership, problem solving, and proficiency with data tools like SQL and Excel.
Experience Required
Minimum 5 year(s)
IN_Senior Associate_Manufacturing_Fuels & Resources S&O_Advisory_Gurgaon at pwc
Gurugram, haryana, India - Full Time
Skills Needed
Manufacturing, Digital Transformation, Ai/Ml, Data Analytics, Asset Management, Supply Chain, Industrial Operations, Stakeholder Management, Climate Change Mitigation, Energy Efficiency, Renewable Energy, Carbon Accounting, Operational Diagnostics, Process Manufacturing, Strategic Planning, Project Delivery
Specialization
Requires 4-8 years of experience in heavy industrial operations such as metals, mining, or power generation. Must hold a B.Tech or MBA and possess strong analytics exposure using OT/IT systems and dashboards.
Experience Required
Minimum 5 year(s)
Technicien(ne) en Génie Manufacturier / Manufacturing Engineering Technicia at CAD Railway Industries
Montreal, Quebec, Canada - Full Time
Skills Needed
Manufacturing Processes, Equipment Troubleshooting, Reading Mechanical Drawings, Cad Software, Plc, Measurement Tools, Microsoft Office, Lean Manufacturing, 5s, Kaizen, Root Cause Analysis, Standard Operating Procedures, Line Balancing, Ergonomic Assessments, New Product Introduction, Calibration
Specialization
Requires a technical diploma or associate degree in manufacturing, mechanical, industrial, or electrical engineering, with 1 to 5 years of manufacturing experience preferred. Proficiency in reading technical drawings and using precision measurement tools is essential.
Experience Required
Minimum 2 year(s)
Senior Specialist Manufacturing Engineering – Rubber Processing & Equipment at Continental
Szeged, South Great Plain, Hungary - Full Time
Skills Needed
Rubber Processing, Manufacturing Engineering, Automation, Capex Evaluation, Plc, Industrial Machinery, Process Optimization, Equipment Development, Roi Analysis, Fluid Handling Systems, Conveying Solutions, Technical Leadership, Project Management, Tooling Design, Electrical Automation, Problem Solving
Specialization
Requires a degree in Mechanical, Manufacturing, Electrical, or Automation Engineering with extensive experience in rubber or elastomer processing. Must be fluent in English and willing to travel globally 40-50% of the time.
Experience Required
Minimum 10 year(s)
Senior Data Scientist – Manufacturing Intelligence, Machine Learning & AI at Ford Motor Company
Portland, Oregon, United States -
Full Time

Start Date

Immediate

Expiry Date

24 Sep, 26

Salary

192000.0

Posted On

26 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, SQL, Machine Learning, Anomaly Detection, Time-Series Analysis, GCP, MLOps, Feature Engineering, Statistical Modeling, BigQuery, Vertex AI, Semantic Modeling, Data Pipelines, Supervised Learning, Unsupervised Learning, Data Visualization

Industry

Motor Vehicle Manufacturing

Description
We are looking for a Senior Data Scientist to help build advanced analytics, machine learning, and AI solutions for manufacturing operations.  This role will focus on using factory data to detect anomalies, improve quality, reduce downtime, optimize throughput, and support reusable data models that connect fragmented manufacturing systems into a common intelligence layer.  The ideal candidate has strong applied machine learning skills, practical experience working with complex operational data, and the ability to partner with manufacturing, data engineering, platform, and software teams to move analytical solutions toward production.  This is not a pure research role. We are looking for someone who can move from problem framing to data understanding, model development, validation, stakeholder alignment, and production support. The candidate should be able to learn unfamiliar domains quickly, challenge assumptions constructively, and push back when requirements, data quality, or model expectations are not realistic.  Manufacturing experience is strongly preferred, but we are also open to candidates from adjacent industrial, operations, quality, aerospace, semiconductor, supply chain, or equipment-heavy environments who can learn the manufacturing domain quickly.    Summary of Data Science Work in a Manufacturing Environment  A Data Scientist in manufacturing works at the intersection of factory operations, engineering, quality, maintenance, data platforms, and machine learning.  The work is not only about building models. It includes understanding how the plant operates, identifying where data is generated, defining what “normal” and “abnormal” look like, creating reliable features from machine and process signals, validating model outputs against real-world outcomes, and delivering insights that plant teams can act on.  Typical manufacturing data science work includes detecting process drift, identifying abnormal machine behavior, predicting quality issues, improving equipment health visibility, supporting root cause analysis, and helping teams move from reactive firefighting to proactive detection, triage, and prevention.  Success requires technical depth, manufacturing curiosity, practical judgment, and the ability to build solutions that work with messy, incomplete, noisy, and high-frequency industrial data.    Key Responsibilities  Applied Machine Learning & Analytics  Develop machine learning and statistical models to support manufacturing use cases such as anomaly detection, quality prediction, equipment health, process monitoring, throughput improvement, and decision support.  Apply supervised, unsupervised, and semi-supervised learning methods, including classification, regression, clustering, anomaly detection, time-series analysis, statistical process control, and model explainability.  Build anomaly detection solutions using methods such as control limits, isolation forests, clustering, Mahalanobis distance, autoencoders, time-series models, and supervised classification where labeled defects are available.  Develop models for manufacturing use cases such as stamping split detection, weld quality, paint defects, assembly issues, predictive maintenance, bottleneck detection, process optimization, and quality prediction.  Evaluate model performance using appropriate metrics, ground truth definitions, validation strategies, false positive and false negative analysis, and business impact measures.  Identify when data is insufficient, labels are unreliable, ground truth is weak, or a machine learning approach is not appropriate, and communicate those limitations clearly.    Manufacturing Data & Feature Engineering  Analyze real-time and historical factory data from sources such as PLCs, sensors, machines, MES, SCADA, historians, quality systems, maintenance systems, production logs, and enterprise platforms.  Create features from manufacturing signals such as cycle time, pressure, temperature, torque, vibration, current, force, cushion pressure, line speed, JPH, FTT, FRC, scrap, rework, downtime, and fault codes.  Work with noisy, incomplete, high-frequency, or fragmented industrial data to create reliable analytical datasets.  Build features that reflect manufacturing context, including asset hierarchy, station behavior, part flow, process sequence, shift patterns, tool usage, maintenance history, supplier variation, and quality outcomes.  Partner with plant teams and domain experts to understand process behavior, validate assumptions, and determine whether model outputs reflect real operating conditions.    Cloud, Data Pipelines & MLOps  Use cloud data platforms, preferably GCP, to support scalable analytics and machine learning workflows.  Develop and partner with Data Engineering to build data pipelines that ingest, transform, and prepare manufacturing data for analysis, modeling, monitoring, and reporting.  Work with tools such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Vertex AI, Cloud Run, Cloud Functions, Looker, or similar cloud services.  Support real-time and near-real-time analytics use cases by working with streaming data from MQTT, Kafka, Pub/Sub, Dataflow, or similar event-driven architectures.  Partner with platform and software engineering teams to move models and analytical workflows from prototype to production-ready solutions.  Follow MLOps practices such as experiment tracking, model versioning, model deployment, model monitoring, drift detection, retraining workflows, and production documentation.  Monitor model performance after deployment, including false positives, false negatives, data drift, model drift, latency, uptime, pipeline failures, and changing manufacturing conditions.    Semantic Modeling & Manufacturing Context  Contribute to manufacturing ontology, semantic modeling, and data relationship work by helping define consistent entities, features, metrics, and relationships across manufacturing systems.  Support mapping of fragmented factory data sources into connected data models that can support analytics, reporting, AI agents, decision support, and reusable data products.  Help create consistent definitions for manufacturing metrics such as JPH, OEE, FTT, FRC, downtime, scrap, rework, cycle time, takt time, throughput loss, and bottleneck impact.  Partner with data architects, ontology leads, data engineers, and domain experts to validate that semantic models reflect how the factory actually operates.  The candidate does not need to be an ontology or knowledge graph expert on day one, but should be willing and able to learn semantic modeling concepts and apply them to manufacturing analytics.    Productization, Communication & Delivery  Build dashboards, alerts, APIs, and explainability views that help plant teams understand what changed, why it matters, and what action to take.  Develop lightweight internal applications or decision-support tools using frameworks such as Streamlit, Dash, FastAPI, Looker, Power BI, Grafana, or similar tools.  Collaborate with data engineers, platform engineers, software engineers, manufacturing engineers, quality teams, and plant stakeholders to move data science prototypes into production-ready workflows.  Follow software engineering best practices, including version control, modular code, code reviews, testing, logging, documentation, reusable packages, and reproducible environments.  Document model logic, assumptions, input features, thresholds, limitations, operational dependencies, and recommended actions for business and plant-floor users.  Distinguish between exploratory research, prototype development, and production-ready delivery.  Prioritize high-impact use cases and help define practical delivery paths that can scale across plants, lines, stations, and manufacturing domains.    Required Qualifications  Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Operations Research, Applied Mathematics, or a related technical field.  5+ years of experience applying data science, machine learning, statistical modeling, optimization, or advanced analytics in a professional environment.  Strong Python skills using libraries such as pandas, NumPy, scikit-learn, SciPy, XGBoost, PyTorch, TensorFlow, statsmodels, or similar tools.  Strong SQL skills and experience working with large, complex datasets.  Experience with supervised and unsupervised machine learning methods, including classification, regression, clustering, anomaly detection, time-series analysis, forecasting, or process optimization.  Experience building features from machine, sensor, process, quality, maintenance, production, or operational datasets.  Experience working with cloud-based data and analytics platforms such as GCP, AWS, Azure, or similar environments.  Experience working with data engineering, software engineering, or platform teams to move analytical solutions toward production.  Understanding of MLOps concepts such as experiment tracking, model deployment, model monitoring, CI/CD, version control, testing, model registry, and retraining.  Ability to work with noisy, incomplete, high-frequency, or fragmented operational data.  Ability to communicate technical findings clearly to plant teams, engineers, leaders, and non-technical stakeholders.  Ability to operate in ambiguous environments where requirements, data quality, and success criteria may need to be clarified.  Professional confidence to challenge assumptions, push back constructively, and influence stakeholders with evidence.  Demonstrated ability to learn new technical and business domains quickly.    Preferred Qualifications  Experience applying data science or machine learning in manufacturing, industrial, automotive, aerospace, semiconductor, supply chain, quality, maintenance, or operations environments.  Experience with automotive manufacturing, stamping, body shop, paint shop, final assembly, battery manufacturing, or powertrain operations.  Understanding of manufacturing KPIs such as throughput, cycle time, downtime, OEE, JPH, FTT, FRC, scrap, rework, takt time, bottlenecks, quality escapes, and safety events.  Basic understanding of manufacturing systems such as MES, SCADA, PLCs, historians, CMMS, QMS, ERP, or industrial IoT platforms.  Hands-on experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Vertex AI, Cloud Functions, Cloud Run, Looker, Cloud Build, Artifact Registry, or Cloud Monitoring.  Experience with real-time or near-real-time anomaly detection on streaming manufacturing data.  Experience with MQTT, Kafka, GCP Pub/Sub, AWS IoT, Azure IoT, Spark, Dataflow, Flink, or similar streaming and industrial IoT tools.  Experience creating or using ontologies, semantic layers, knowledge graphs, data catalogs, data fabric platforms, or entity-relationship models.  Familiarity with graph databases or semantic technologies such as RDF, OWL, SPARQL, Neo4j, Stardog, GraphDB, or similar tools.  Familiarity with manufacturing data standards, asset hierarchies, ISA-95, OPC UA, industrial data models, data mesh, semantic layers, or digital twin concepts.  Experience building production ML systems with automated training pipelines, validation gates, deployment workflows, monitoring, rollback strategies, or retraining triggers.  Experience with containers and deployment platforms such as Docker, Kubernetes, GKE, Cloud Run, or managed inference endpoints.  Experience building explainable AI outputs for operational users, including root-cause indicators, contributing factors, confidence scores, thresholds, and recommended actions.  Experience with visualization tools such as Power BI, Tableau, Looker, Grafana, Streamlit, Dash, or custom web applications.    Success Measures  Success in this role will be measured by the ability to:  Reduce quality defects, scrap, rework, downtime, and throughput loss through better detection and prediction.  Improve visibility into manufacturing performance, process drift, equipment behavior, and root causes.  Build reusable models, features, and data products that can scale across plants, lines, stations, and manufacturing domains.  Support trusted manufacturing data definitions, ontology structures, and semantic relationships.  Partner effectively with data engineering, software engineering, platform, and manufacturing teams to deploy reliable analytics.  Improve model reliability through monitoring, drift detection, retraining, and production documentation.  Deliver analytics that plant teams can understand and act on quickly.  Bridge the gap between manufacturing domain experts, data science, data engineering, software engineering, and platform teams.    Ideal Candidate Profile  The ideal candidate is a strong applied data scientist who is comfortable with both the technical and operational realities of manufacturing.  They are strong across supervised and unsupervised machine learning, practical and delivery-oriented, comfortable with messy real-world data, and able to understand manufacturing systems and plant-floor context.  They can translate vague operational problems into structured analytical approaches, explain model results and limitations clearly, and push back constructively when requirements, data quality, or success criteria are not realistic.  They do not need to be an expert in every area on day one. The strongest candidate will bring deep applied machine learning capability, sound technical judgment, professional confidence, and the ability to learn manufacturing, cloud, MLOps, and semantic modeling concepts as needed.   
Responsibilities
Develop and deploy machine learning and AI solutions to optimize manufacturing operations, focusing on anomaly detection and quality prediction. Partner with cross-functional teams to move analytical prototypes into production-ready workflows using cloud platforms.
Senior Data Scientist – Manufacturing Intelligence, Machine Learning & AI at Ford Motor Company
Portland, Oregon, United States - Full Time
Skills Needed
Python, Sql, Machine Learning, Anomaly Detection, Time Series Analysis, Gcp, Mlops, Feature Engineering, Statistical Modeling, Bigquery, Vertex Ai, Semantic Modeling, Data Pipelines, Supervised Learning, Unsupervised Learning, Data Visualization
Specialization
Requires a degree in a technical field and 5+ years of professional experience in data science and machine learning. Proficiency in Python, SQL, and cloud platforms (preferably GCP) is essential, along with the ability to handle noisy industrial data.
Experience Required
Minimum 5 year(s)
Senior Specialist Manufacturing Engineering – Hydraulic and Industrial Hose at Continental
Hanover, Lower Saxony, Germany - Full Time
Skills Needed
Manufacturing Engineering, Process Industrialization, Hydraulic Hose Manufacturing, Industrial Hose Manufacturing, Extrusion, Braiding, Curing, Pressure Testing, Crimping, Fat/Sat, Technical Leadership, Problem Solving, Supplier Coordination, Process Optimization, Project Management, English Fluency
Specialization
Requires a degree in Mechanical, Manufacturing, Materials Engineering, Chemistry, or a similar field with extensive experience in hose manufacturing. Must be fluent in English and willing to travel globally 40-50% of the time.
Experience Required
Minimum 10 year(s)
製造業界向けセールスマネージャー(SAPソリューション/自動車業界IT）/ Sales Manager for Manufacturing indus at Capgemini Portugal
Tokyo, , Japan - Full Time
Skills Needed
Account Management, Sap Solutions, It Consulting, Strategic Thinking, C Level Communication, Solution Selling, Contract Negotiation, Business Analysis, English Proficiency, Japanese Proficiency, Salesforce, Microsoft Office, Project Management, Stakeholder Management, Rfp Response, Digital Transformation
Specialization
Requires sales experience in intangible goods such as IT software or consulting, with specific knowledge of the Japanese automotive or manufacturing industries. Must possess high-level communication skills in both Japanese and English to manage stakeholders and lead complex projects.
Experience Required
Minimum 5 year(s)
Manufacturing Team Member I - 1st shift - 5am-3:30pm - Mon-Thurs - KTB at ZAH Group
Mansfield, Texas, United States - Full Time
Skills Needed
Semi Automated Equipment Operation, Light Assembly, Packaging, Press Operations, Quality Inspection, Measuring Tools, Blueprint Reading, Troubleshooting, 6s Standards, Lean Manufacturing, Basic Math, Computer Skills
Specialization
Requires a high school diploma or equivalent with basic English, math, and computer skills. Candidates must be able to lift up to 35 pounds and work overtime as needed.
Field Marketing Manager – Industry Marketing Manufacturing/Automotive at ServiceNow
Munich, Bavaria, Germany - Full Time
Skills Needed
Field Marketing, Demand Generation, B2b Marketing, Event Management, Strategic Planning, Data Analysis, Roi Analysis, Campaign Management, Vendor Management, Sales Alignment, Crm, Tableau, Microsoft 365, Ai Tools, Communication, Project Management
Specialization
Requires a Bachelor or Master's degree in business or marketing and several years of B2B field marketing experience in the technology sector. Candidates must possess exceptional communication skills in German and English and the ability to travel within the region.
Experience Required
Minimum 2 year(s)
Manufacturing Operations Technical Programme Manager – Silicon and Packagin at Fractile
Bristol, England, United Kingdom - Full Time
Skills Needed
Technical Programme Management, Semiconductor Production, Packaging Design, Supply Chain Management, Foundry Management, Osat Management, Npi, Risk Management, Project Planning, Cross Functional Execution, Jira, Confluence, Plm Systems, Yield Tracking, Production Ramp, Stakeholder Management
Specialization
Requires 5+ years of technical project or programme management experience in semiconductors or complex hardware. Must have a strong understanding of semiconductor production flows and experience working with foundries and contract manufacturers.
Experience Required
Minimum 5 year(s)
Business Development Director - Manufacturing, Infrastructure and Environme at Version 1 Cedar
London, England, United Kingdom - Full Time
Skills Needed
Consultative Selling, Business Development, C Suite Engagement, Pipeline Management, Digital Transformation, Strategic Partnership Management, Financial Forecasting, Value Proposition Development, Contract Negotiation, Stakeholder Management, Lead Generation, Tender Response Writing
Specialization
Proven track record of consultative selling to CxO level stakeholders and achieving sales targets against global systems integrators. Deep knowledge of business-technology topics relevant to manufacturing, infrastructure, and environmental sectors.
Experience Required
Minimum 10 year(s)
Manufacturing Engineering Technology Innovation Industrialisation Program L at Syngenta Group
Muttenz, Basel-Landschaft, Switzerland - Full Time
Skills Needed
Project Management, Industrialization, Manufacturing Engineering, Technology Transfer, Stage Gate Process, Cross Functional Leadership, Process Innovation, Business Case Development, Roi Tracking, Capex Management, Procurement, Operational Integration, Sustainability Impact Analysis, Productivity Improvement, Stakeholder Management
Specialization
Requires a Master’s degree in Engineering or Technology and over 7 years of experience in manufacturing or innovation roles. Candidates must demonstrate a proven track record in scaling up industrial technologies and managing cross-functional projects.
Experience Required
Minimum 5 year(s)
Account Executive - Manufacturing & Automotive (all genders) | ClimateTech at Carbmee
Berlin, Bavaria, Germany - Full Time
Skills Needed
Enterprise Saas Sales, B2b Sales, Lead Generation, Negotiation, Crm Management, Value Driven Selling, Pipeline Management, Strategic Thinking, English Fluency, German Fluency, Account Management, Market Analysis, Stakeholder Management, Land And Expand Strategy, Carbon Management, Presentation Skills
Specialization
Requires extensive experience in B2B enterprise SaaS sales and fluency in both German and English. Candidates should have a strong business acumen and a preference for experience in heavy industries like automotive, manufacturing, or logistics.
Experience Required
Minimum 5 year(s)
Senior Supervisor, Wafer Manufacturing - B Shift (Sun-Tues & alternating We at Western Digital
Fremont, California, United States - Full Time
Skills Needed
Leadership, Semiconductor Manufacturing, Statistical Process Control, Lean Manufacturing, Six Sigma, Dmaic, Project Management, Data Analysis, Problem Solving, Communication, Staffing Management, Performance Management, Photolithography, Thin Film Deposition, Wet Etch, Excel
Specialization
Requires a Bachelor of Science in Engineering, Chemistry, Physics, or a related field. Preferred experience includes knowledge of semiconductor wafer processes, SPC systems, and Lean Manufacturing principles.
Experience Required
Minimum 5 year(s)
Manufacturing Engineer – Standard Operating Instructions (SOI) (all gender) at Alten
Donauwörth, Bavaria, Germany - Full Time
Skills Needed
Standard Operating Instructions, Technical Documentation, Sap Production Modules, Catia V5, Manufacturing Engineering, Engineering Drawings, Process Documentation, Technical Communication
Specialization
Requires professional experience in Manufacturing Engineering or Technical Documentation with proven expertise in creating industrial work instructions. Proficiency in SAP, CATIA V5, and fluent English are required.
Experience Required
Minimum 2 year(s)
Strategic Lead Manufacturing Design Engineer (MDE), Materials Development a at Apple
, California, United States - Full Time
Skills Needed
Materials Engineering, Manufacturing Design, Decarbonization Strategy, Supply Chain Strategy, Material Characterization, Project Management, Cross Functional Leadership, Lifecycle Assessment, Vendor Negotiation, Polymer Processing, Metals Processing, Technical Roadmapping
Specialization
Requires 5+ years of experience in materials or manufacturing engineering with deep knowledge of metals or polymers. A bachelor's degree in a relevant engineering or science field is preferred, along with an MBA for strategy roles.
Experience Required
Minimum 5 year(s)
Expressions of Interest - Supply Chain & Manufacturing - Lactalis Sth Brisb at Asahi
Nungurner, Victoria, Australia - Full Time
Skills Needed
Equipment Operation, Warehouse Management, Production Planning, Team Leadership, Continuous Improvement, Asset Care, Troubleshooting, Safety Management, Quality Control, Distribution
Specialization
Proven experience in manufacturing, production, or distribution with a strong commitment to safety and quality. Qualifications in Electrical, Mechanical Fitting, Boiler, or Leadership are preferred.
Experience Required
Minimum 2 year(s)
Lead Human Relations Business Partner (Manufacturing - Onsite in Sumter, SC at Continental
Sumter, South Carolina, United States - Full Time
Skills Needed
Employee Relations, Performance Management, Hr Leadership, Strategic Planning, Compliance, Recruiting, Compensation, Training And Development, Coaching, Data Driven Decision Making, Process Improvement, Workforce Engagement, Conflict Resolution, Change Management, Project Management, Stakeholder Management
Specialization
Requires a Bachelor's degree and at least 7 years of relevant HR experience, specifically within the manufacturing sector. Must have a proven track record of leading HR teams and managing complex employee relations and performance practices.
Experience Required
Minimum 5 year(s)
Technician 1 PLM (Production, Assembly, Manufacturing) 4 different shifts a at AST SpaceMobile
Midland, Texas, United States - Full Time
Skills Needed
Quality Assurance, Technical Drawing Interpretation, Cad Models, First Article Inspection, Qms Compliance, Precision Measuring Tools, Aerospace Manufacturing, Electrical Assembly Inspection, Mechanical Assembly Inspection, Nonconformance Documentation
Specialization
Requires a high school diploma or GED and experience with quality assurance principles and technical drawings. Preferred candidates have an associate degree and 3+ years of inspection experience in aerospace or military environments.
Experience Required
Minimum 2 year(s)
Aseptic Manufacturing Technician I - Night Shift B [Contract to Hire] at Iovance Biotherapeutics
Philadelphia, Pennsylvania, United States - Full Time
Skills Needed
Aseptic Technique, Gmp Manufacturing, Cell Culture, Cleanroom Operations, Environmental Monitoring, Good Documentation Practices, Cryopreservation, Biosafety Cabinet Operation, Visual Inspection, Microsoft Office, Material Transfer, Inventory Management
Specialization
Requires a Bachelor's degree or equivalent experience with 0-1 years of experience in biopharmaceutical GMP operations. Candidates must be able to pass a vision exam and meet physical demands including wearing full PPE and lifting up to 50 pounds.
Senior Production Supervisor, Wafer Manufacturing (Thurs-Sat & alternating at Western Digital
San Jose, California, United States - Full Time
Skills Needed
Leadership, Semiconductor Manufacturing, Statistical Process Control, Lean Manufacturing, Six Sigma, Dmaic, Sql, Vba, Project Management, Problem Solving, Data Analysis, Communication, Staffing Management, Performance Management, Kaizen, Mesa
Specialization
Preferred Bachelor's degree in Engineering, Chemistry, Physics, or a related field with knowledge of semiconductor wafer manufacturing. Requires experience in leadership, problem solving, and proficiency with data tools like SQL and Excel.
Experience Required
Minimum 5 year(s)
IN_Senior Associate_Manufacturing_Fuels & Resources S&O_Advisory_Gurgaon at pwc
Gurugram, haryana, India - Full Time
Skills Needed
Manufacturing, Digital Transformation, Ai/Ml, Data Analytics, Asset Management, Supply Chain, Industrial Operations, Stakeholder Management, Climate Change Mitigation, Energy Efficiency, Renewable Energy, Carbon Accounting, Operational Diagnostics, Process Manufacturing, Strategic Planning, Project Delivery
Specialization
Requires 4-8 years of experience in heavy industrial operations such as metals, mining, or power generation. Must hold a B.Tech or MBA and possess strong analytics exposure using OT/IT systems and dashboards.
Experience Required
Minimum 5 year(s)
Technicien(ne) en Génie Manufacturier / Manufacturing Engineering Technicia at CAD Railway Industries
Montreal, Quebec, Canada - Full Time
Skills Needed
Manufacturing Processes, Equipment Troubleshooting, Reading Mechanical Drawings, Cad Software, Plc, Measurement Tools, Microsoft Office, Lean Manufacturing, 5s, Kaizen, Root Cause Analysis, Standard Operating Procedures, Line Balancing, Ergonomic Assessments, New Product Introduction, Calibration
Specialization
Requires a technical diploma or associate degree in manufacturing, mechanical, industrial, or electrical engineering, with 1 to 5 years of manufacturing experience preferred. Proficiency in reading technical drawings and using precision measurement tools is essential.
Experience Required
Minimum 2 year(s)
Senior Specialist Manufacturing Engineering – Rubber Processing & Equipment at Continental
Szeged, South Great Plain, Hungary - Full Time
Skills Needed
Rubber Processing, Manufacturing Engineering, Automation, Capex Evaluation, Plc, Industrial Machinery, Process Optimization, Equipment Development, Roi Analysis, Fluid Handling Systems, Conveying Solutions, Technical Leadership, Project Management, Tooling Design, Electrical Automation, Problem Solving
Specialization
Requires a degree in Mechanical, Manufacturing, Electrical, or Automation Engineering with extensive experience in rubber or elastomer processing. Must be fluent in English and willing to travel globally 40-50% of the time.
Experience Required
Minimum 10 year(s)