Digital Factory Engineer

Head of Sales and Marketing Nutraceuticals

Staff Quality & Reliability Engineer

Supervisor – Quality & Reliability Engineering

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Solution Engineer - Security

Responsibilities: <ul><li>At our client, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.&nbsp;</li><li>Drives the implementation of programs and projects to improve products and processes and develops deployment plans.&nbsp;</li><li>Digital Factory transformation project followed APAC and Internal plant.direction.&nbsp;</li><li>Daily trouble shooting in production, provide short term &amp; long term solution to team.&nbsp;</li><li>Suggest &amp; drive improvements digital solution.&nbsp;</li><li>Support project assignment.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Plant digitals, cooperate with APAC and our client service team for transformation project.&nbsp;</li><li>Digital factory transformation project implementation, Identify and resolve issue during implementation.&nbsp;</li><li>Training on new digital tools and technologies. Develop training material and provide training to ensure fully utilization.&nbsp;</li><li>Maintain and troubleshooting for exiting digital tools, AGV, Material Calling System, Hydra, dPIM etc.&nbsp;</li><li>Continuous Improvement, identify new opportunities and innovation in operation processes.&nbsp;</li><li>Data analysis and monitoring, Operations Scorecard, Operation Dashboard (SCCOP, SHE, OEE) and advise weakness areas for improvement.&nbsp;</li><li>Handle on CER related /CI working with operations and cross functional team.&nbsp;</li><li>Support operations project assignment.&nbsp;</li></ul> What your background should look like&nbsp; <ul><li>Bachelor’s Degree in Information Technology, Computer science or related field.&nbsp;</li><li>Strong knowledge and experiences in Digital transformation projects.&nbsp;</li><li>Familiarity with digital tools and technologies used in manufacturing.&nbsp;</li><li>Minimum 3 to 6 years working experience in manufacturing sector.&nbsp;</li><li>Knowledge of in cloud technology, virtualization, mobile application, IOT, SQL Server.&nbsp;</li><li>Reporting Services, Power BI, Tableau.&nbsp;</li><li>Good knowledge in Data Storage, Cloud, Microsoft Power Apps.&nbsp;</li><li>Good knowledge in Dashboard creation, Graphic and User Interface (UI) design.&nbsp;</li><li>New enhancement for new functionality in SAP and Hydra.&nbsp;</li><li>OEE, Utilization analysis skill.&nbsp;</li><li>Knowledge and experiences in Enterprise Resource Planning software – SAP/BOM/Routing will be advantage.&nbsp;</li><li>Logical thinking with Project Management Skill.&nbsp;</li><li>Fluent in English and good communication.&nbsp;</li><li>Interpersonal skills.&nbsp;</li></ul>

Responsibilities: Strategic &amp; Commercial Leadership: <ul><li>Develop and execute the commercial strategy to drive growth across product categories (e.g., vitamins, functional foods, probiotics, and herbal supplements).</li><li>Formulate annual business plans, budgets (A&amp;P and Trade Spend), and sales forecasts, and actively manage the P&amp;L to drive top-line revenue, gross margin improvement, and profitability.</li><li>Identify new business opportunities, strategic partnerships, and channel expansions (modern trade, e-commerce, pharmacy, and healthcare professionals).</li></ul> Market Access and Sales Management: <ul><li>Lead and oversee national sales operations, including regional sales teams, distributors, and key accounts.</li><li>Establish strong relationships and negotiate favourable long-term trade terms and contracts with key national and regional accounts.</li><li>Drive customer and channel engagement initiatives to strengthen brand presence and relationships.</li><li>Manage pricing strategies, trade terms, and promotional budgets in line with profitability goals.</li><li>Establish clear performance metrics (KPIs) and monitor sales productivity, market coverage, and territory growth across all channels.</li></ul> Marketing &amp; Brand Development: <ul><li>Develop and implement marketing strategies and campaigns to position the company as a credible and trusted nutraceutical brand in Indonesia.</li><li>Oversee product launches, lifecycle management, and portfolio strategy.</li><li>Conduct market analysis, consumer insights, and competitive intelligence to guide decision-making.</li><li>Collaborate with R&amp;D and Regulatory teams to ensure all product claims and marketing materials are fully compliant with local regulations.</li><li>Lead digital marketing, e-commerce, and omnichannel initiatives to strengthen consumer engagement and off-take</li></ul> Cross-functional Collaboration: <ul><li>Partner with Supply Chain, Finance, Regulatory, and Medical Affairs for seamless go-to-market execution.</li><li>Align with corporate and regional teams on strategic direction and brand consistency.</li><li>Support accurate forecasting, demand planning, and inventory control to ensure market availability.</li></ul> People Leadership: <ul><li>Build, lead and develop high-performing sales and marketing teams.</li><li>Set clear performance goals, monitor performance, and implement training and capability development programs.</li><li>Foster a culture of collaboration, accountability, and ethical business practices.</li></ul> Key Performance Indicators (KPIs): <ul><li>Achievement of sales revenue, margin, and market share targets.</li><li>Growth in distribution and channel penetration.</li><li>Success of new product launches and marketing campaigns.</li><li>Customer satisfaction and brand awareness.</li><li>Employee engagement and retention within the commercial team.</li></ul> Core Competencies: <ul><li>Strategic &amp; Commercial Acumen: Expertise in P&amp;L management and developing scalable commercial strategies.</li><li>Brand Building &amp; Positioning: Ability to build brand equity and differentiate products in a competitive health market.</li><li>Channel &amp; Customer Management: Mastery of Indonesian trade structures and key account negotiation.</li><li>Analytical &amp; Data-Driven Decision Making: Proficiency in utilizing market data for investment optimization.</li><li>Leadership &amp; People Development: Proven ability to build, inspire, and develop a high-performing commercial team.</li><li>Innovation &amp; Market Insight: Deep knowledge of nutraceutical trends, consumer behaviour, and product innovation cycles</li></ul> Requirements: <ul><li>Education: - Bachelor’s or master’s degree in business, Pharmacy, Nutrition, or Life Science</li><li>10–15 years of experience in Sales and Marketing, preferably in Nutraceuticals, FMCG Health, or Consumer Healthcare.</li><li>Proven leadership in managing commercial teams.</li><li>Experienced in driving new launches or significant expansion of a new portfolio or business unit within a structured corporate environment.</li><li>Strong understanding of nutraceutical market trends, regulatory frameworks, and consumer behaviours.</li><li>Excellent leadership, negotiation, and strategic planning skills.</li><li>Fluency in both English and Bahasa Indonesian is required.</li></ul>

Responsibilities: <ul><li>Support bulk cable team by tracking quality, compiling reports, assist with DOEs and product qualification</li><li>Organize and facilitate Design Review (DR) and Design Failure Modes &amp; Effects Analysis (DFMEA) reviews.</li><li>Implement quality planning and controls for prototype and/or sample builds.</li><li>Complete measurement system analysis for inspection systems and gages to be utilized for the project.</li><li>Review and analyze samples, quality issues and improvement actions during prototype making and CTAR/Qualification.</li><li>Coordinate sample preparation and certification for product verification and qualification testing.</li><li>Conduct and analyze process capability studies in support of Final Tool Approval (FTAR) for all tools and production lines associated with the project using the Comprehensive Tool Approval Report (CTAR).</li><li>Collaborate with MPDE, monitor process capability/data and oversee ongoing corrective actions as required.</li><li>Collaborate with corporate UL team / UL engineer/PJE/PQE for new certification. -Collaborate with PDE, analyze physical/SI data and make qualification report.</li><li>Collaborate with PDE, CA PDE/SI/MPDE, support SQE on outsourced cable quality control and improvement from bulk cable engineering side.</li><li>Preparation for prototype/sample making: -Organize and facilitate Design Review (DR) and Design Failure Modes &amp; Effects Analysis (DFMEA) reviews.</li><li>Complete measurement system analysis for inspection systems and gages to be utilized for the project.</li><li>Data Analysis:Monitor process physical/SI data.</li><li>Review and analyze samples, quality issues and improvement actions during prototype making and CTAR/Qualification.</li><li>Review 108 and finish 501 documents per customer requirement and industrial standards.</li><li>Coordinator during prototype/sample making: -Monitor process capability and oversee ongoing corrective actions as required.</li><li>Support MPDE on FACA.</li><li>Support PDE on design improvement.</li><li>Coordinator during outsourced cable qualification process:Review outsourced cable Physical data, SI data, Reliability data, stability data, give comments from bulk cable engineering side on supplier quality and product quality.</li></ul> Requirements:﻿ <ul><li>Bachelors or Masters Degree in science or technology.</li><li>10 years min. working experience in bulk cable design or manufacturing.</li><li>3 years team management experience.</li><li>Familiar with bulk cable knowledge, bulk cable manufacturing knowledge and machines knowledge.</li><li>Can work under the pressure.</li><li>Drive for results, good problem solving skills</li><li>Good communication skill, integrity, accountability and passion, Integrity, ccountability, team work</li><li>Good communication, interpersonal and management skills</li></ul>

Responsibilities: <ul><li>Collaborate with engineering, production, and planning teams to continuously improve product quality across the manufacturing process.</li><li>Supervise and manage the incoming and final inspection areas.</li><li>Drive improvement initiatives within incoming, in-process, and final inspection operations.</li><li>Prioritize inspection activities to ensure timely completion of production materials, engineering validations, and gage R&amp;Rs.</li><li>Identify and execute containment actions for nonconforming materials found during in-process or final inspections.</li><li>Work with cross-functional teams to investigate nonconforming products using root cause analysis tools (Ishikawa, 5-Whys, Is-Is Not, etc.) and implement corrective and preventive actions.</li><li>Communicate with customers regarding product-related complaints and facilitate evaluation and return of materials as needed.</li><li>Investigate product quality issues related to customer returns (e.g., nonconforming material reports, corrective actions).</li><li>Create and update operations procedures and documentation used within production.</li><li>Ensure compliance with quality assurance policies and procedures to meet or exceed customer expectations.</li><li>Implement continuous improvement initiatives to reduce defects, improve efficiency, and enhance product quality.</li><li>Conduct manufacturing and quality system audits to ensure compliance with ISO 13485.</li><li>Support operational projects such as Kaizen, data analysis, and problem-solving initiatives.</li></ul> Requirements: Qualifications/Background: <ul><li>Bachelor’s degree in Quality, Science, or Engineering preferred (High School Diploma with equivalent experience will be considered).</li><li>Prior experience as a Quality Engineer in a manufacturing environment.</li><li>5+ years of industry experience in a medical device manufacturing or pharmaceutical environment.</li><li>Supervisory or management experience preferred.</li><li>Working knowledge of FDA, ISO, and MDD quality systems applicable to medical device companies.</li><li>Excellent written and verbal communication skills.</li></ul>

Responsibilities: Safety Program Development <ul><li>Design and maintain comprehensive safety policies and procedures tailored to operations.</li><li>Conduct regular reviews and updates of safety protocols to align with evolving regulations.</li></ul> Risk Assessment &amp; Mitigation <ul><li>Perform workplace hazard assessments and risk analyses.</li><li>Develop strategies to mitigate risks and prevent workplace injuries.</li></ul> Compliance Management <ul><li>Ensure compliance with OSHA, EPA, and other relevant regulations.</li><li>Prepare documentation and reports for audits and inspections.</li></ul> Training &amp; Employee Engagement <ul><li>Conduct safety training sessions for employees, contractors, and visitors.</li><li>Promote a culture of safety awareness and responsibility across the organization.</li></ul> Incident Investigation &amp; Reporting <ul><li>Lead investigations into workplace accidents and near-misses.</li><li>Create detailed reports, identify root causes, and implement corrective actions.</li></ul> Monitoring &amp; Inspections <ul><li>Perform routine inspections of equipment, facilities, and workspaces.</li><li>Identify non-compliance issues and recommend corrective measures.</li></ul> Emergency Preparedness <ul><li>Develop and oversee emergency response plans.</li><li>Coordinate drills and ensure readiness for potential crises.</li></ul> Collaboration &amp; Communication <ul><li>Work closely with leadership, HR, and operations teams to integrate safety into all aspects of the business.</li><li>Serve as the primary point of contact for safety-related inquiries.</li><li>Assist with security-related initiatives and collaborate with relevant teams to ensure a secure work environment.</li></ul> Requirements: <ul><li>Education: Bachelor’s degree in Occupational Health &amp; Safety, Environmental Science, Industrial Engineering, or a related field. Professional certifications like CSP (Certified Safety Professional) or OSHA certification are preferred.</li><li>Experience: Minimum 5 years of experience in a safety management role, preferably in the automotive or manufacturing industry.</li><li>Skills:</li><li>Strong knowledge of safety regulations and standards</li><li>Excellent problem-solving and analytical skills</li><li>Effective communication and leadership abilities</li><li>Technical Proficiency: Familiarity with safety management systems and software</li></ul> Work Environment <ul><li>Primarily office-based with frequent visits to production floors and facilities</li><li>Occasional travel may be required to other company locations or external sites</li></ul>

Responsibilities: Safety Program Development <ul><li>Design and maintain comprehensive safety policies and procedures tailored to operations.</li><li>Conduct regular reviews and updates of safety protocols to align with evolving regulations.</li></ul> Risk Assessment &amp; Mitigation <ul><li>Perform workplace hazard assessments and risk analyses.</li><li>Develop strategies to mitigate risks and prevent workplace injuries.</li></ul> Compliance Management. <ul><li>Ensure compliance with OSHA, EPA, and other relevant regulations.</li><li>Prepare documentation and reports for audits and inspections.</li></ul> Training &amp; Employee Engagement <ul><li>Conduct safety training sessions for employees, contractors, and visitors.</li><li>Promote a culture of safety awareness and responsibility across the organization.</li></ul> Incident Investigation &amp; Reporting <ul><li>Lead investigations into workplace accidents and near-misses.</li><li>Create detailed reports, identify root causes, and implement corrective actions.</li></ul> Monitoring &amp; Inspections <ul><li>Perform routine inspections of equipment, facilities, and workspaces.</li><li>Identify non-compliance issues and recommend corrective measures.</li></ul> Emergency Preparedness <ul><li>Develop and oversee emergency response plans.</li><li>Coordinate drills and ensure readiness for potential crises.</li></ul> Collaboration &amp; Communication <ul><li>Work closely with leadership, HR, and operations teams to integrate safety into all aspects of the business.</li><li>Serve as the primary point of contact for safety-related inquiries.</li><li>Assist with security-related initiatives and collaborate with relevant teams to ensure a secure work environment.</li></ul> Requirements: <ul><li>Education: Bachelor’s degree in Occupational Health &amp; Safety, Environmental Science, Industrial Engineering, or a related field. Professional certifications like CSP (Certified Safety Professional) or OSHA certification are preferred.</li><li>Experience: Minimum 5 years of experience in a safety management role, preferably in the automotive or manufacturing industry.</li></ul> Skills: <ul><li>Strong knowledge of safety regulations and standards</li><li>Excellent problem-solving and analytical skills</li><li>Effective communication and leadership abilities</li><li>Technical Proficiency: Familiarity with safety management systems and software</li></ul> Work Environment <ul><li>Primarily office-based with frequent visits to production floors and facilities</li><li>Occasional travel may be required to other company locations or external sites</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>

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>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: <ul><li>As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li><li>This role offers the excitement of working with cutting-edge technology and the fulfillment of building long-lasting relationships with customers.</li><li>Provide guidance and assist account teams in building solutions to address specific customer security needs.</li><li>Understand business requirements and translate them into technical solutions.</li><li>Create, present, and document technical solutions to customers, partners, and prospects.</li><li>Lead technical consulting and upper-level management presentations.</li><li>Drive major account opportunities while enabling local account teams to maintain long-term ownership.</li></ul> Requirements: Minimum Qualifications <ul><li>Minimum of 4 years of technical sales or pre-sales experience with 2+ years in Security specialization (Email Security, IDS/IPS, AV, Firewall, Advanced Malware Protection).</li><li>Bachelors degree in Cybersecurity, Computer Science, or a related field.</li><li>Proven track record of successful quota achievement.</li><li>Strong knowledge of cybersecurity concepts, technologies, and best practices.</li><li>Industry certifications such as CISSP, CISM, or CCSP are preferred..</li></ul> Preferred Qualifications <ul><li>Excellent presentation and interpersonal skills.</li><li>Commercial awareness and strong communication skills.</li><li>Highly motivated self-starter who excels without day-to-day management.</li><li>Experience with Client security technologies and programming languages such as UNIX shell, Perl, or C.</li><li>Willingness to travel and work from a home office. As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li></ul>

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81 forensic science Jobs found

Digital Factory Engineer

Head of Sales and Marketing Nutraceuticals

Staff Quality & Reliability Engineer

Supervisor – Quality & Reliability Engineering

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Solution Engineer - Security

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81 forensic science Jobs found

Digital Factory Engineer

Head of Sales and Marketing Nutraceuticals

Staff Quality & Reliability Engineer

Supervisor – Quality & Reliability Engineering

Safety Manager – North America Michigan

Safety Manager - Automotive North America - Houston

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Solution Engineer - Security

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.