Senior Business Intelligence Analyst

Salesforce Developer

Associate Data Engineer

Senior - Data Engineer

QC Lab Sample Coordinator

Environmental Health and Safety (EHS) Manager

C# Developer (SSE)

Manager, Site Logistics & Project Integration

Digital Factory Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

Responsibilities <ul><li>Collaborate with Product Managers and cross-functional teams to understand business requirements and translate them into technical solutions on the Salesforce platform.</li><li>Design, develop, and implement custom Lightning Web Components (LWC) on the client-side and leveraging object-oriented design principles and best practices for back-end.</li><li>Create and maintain Apex classes, triggers, and other Salesforce development artifacts.</li><li>Customize and extend standard Salesforce functionality to meet unique business needs.</li><li>Troubleshoot and resolve issues for our Salesforce end users while identifying any root cause problems to prevent future issues.</li><li>Develop, maintain, and extend integrations built on the Force.com platform.</li><li>Collaborate with front-end components to integrate Salesforce applications with external systems and web services.</li><li>Perform unit testing, code reviews, and participate in the overall quality assurance process.</li><li>Apply solid understanding and working knowledge of modern JavaScript for Lightning Web Components to solve for complex business needs.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Information Technology, Information Systems or related field</li><li>Salesforce Certified (e.g., Platform Developer I, Platform Developer II, JavaScript)</li><li>2+ years of experience with SF Command Line tooling, Git, and VS Code</li><li>2+ years of experience with Apex, Visualforce, and other Salesforce development technologies</li><li>2+ years of Proven experience as a Salesforce Developer with a focus on Lightning Web Components (LWC)</li><li>3+ years of experience and strong proficiency in object-oriented design principles and hands-on experience in applying them to Salesforce development.</li></ul>

Responsibilities: <ul><li>Ability to troubleshoot problems in a live environment and provide real time help with critical issues.</li><li>Write code that is easily understood and maintainable by other team members.</li><li>Keep up to date with developments in technologies we are using.</li><li>Ability to communicate and work effectively, supporting various business departments.</li><li>Ability to work in fast-paced interdisciplinary environment.</li></ul> Requirements <ul><li>BA/BS in Computer Science or equivalent practical experience.&nbsp;</li><li>At least 3+ years of post-university experience as a full-stack engineer.</li><li>Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms.</li><li>Strong knowledge of Python.</li><li>Solid knowledge SQL and relational databases.</li><li>Knowledge of Extract-Transform-Load (ETL) and big data analytics tools.</li><li>Experience working in a cloud environment (AWS, Azure, GCP).</li><li>Familiarity with popular Python data analytics frameworks.</li><li>Familiarity with Snowflake or other large analytics engines.</li><li>Experience with data warehousing and working in environments with large scale, complex analytics requirements.</li><li>Familiarity with DAG-based job scheduling tools.</li><li>Cloud-native container orchestration platforms and tools.</li><li>Experience working in the Financial Services industry.</li></ul>

Responsibilities: <ul><li>Uses a set of tasks and techniques to work as a liaison among and elicit the needs of stakeholders to define and validate solutions that meet business needs, goals, or objectives.</li><li>Analyzes and synthesize information elicited from stakeholders, defines, and manages the plan to deliver requirements and documents, and manages requirements throughout the project life cycle.</li><li>Develop ETL (Extract, transform, load) process to help extract and manipulate data from multiple sources.</li><li>Reformulating or automating the existing data workflows to maximize their functioning and greater scalability.</li><li>Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and produce actionable business insights out of it.</li><li>Need to conduct complex data analysis and improve data quality and efficiency.</li><li>Develop models to create reporting infrastructure/dashboards for business process management and data mining.</li><li>Design Summary, Detail, and Dashboard reports and management summaries which present data findings in a professional, concise, and readable format appropriate for content and audience.</li><li>Solve ad-hoc requirements of Management related to data for critical decision making</li><li>Troubleshoot data inaccuracies, identify root causes, and take corrective action</li><li>Effectively communicate and translate quantity findings (Storytelling with data) inclusive of key insights and actionable recommendations to optimize performance</li><li>Optimize reports to ensure a responsive solution when visualizing vast amounts of data.</li></ul> Requirements: <ul><li>5+ years of data engineering experience in ETL design, development, optimization &amp; testing using, Alteryx, Data Bricks, Cloud AWS Services, Python, SQL scripts,</li><li>5+ years of hands-on experience in business intelligence and in configuring, designing, and building visualizations and dashboards using Tableau and other BI tools (Tableau Prep, Tableau Dashboard, Tableau Server, Business Objects, Power BI, etc.)</li><li>Excellent problem-solving, communication, and organizational skills.&nbsp;</li><li>Experience in performance tuning and optimization of ETL processes to enhance efficiency and minimize data processing time</li><li>Detail-oriented with excellent time management and organizational skills to meet a critical deadline</li><li>Self-motivated, ability to prioritize work and multi-task across many assignments in a fast-paced work environment</li><li>Collaborated with cross-functional teams to gather requirements, design data models, and implement scalable data architectures to support business analytics and reporting needs</li><li>Proven ability to work independently and with a team.</li><li>Ability to interpret technical or dashboard structure</li><li>Experience in business domains – supply chain, pricing, sales &amp; marketing, sales, finances</li></ul>

Responsibilities: Sample Management <ul><li>Performs QC sample/reference standard/chromatographic column receipt, processing, distribution for testing and storage.</li><li>Performs QC sample reconciliation and disposal.</li><li>Tracks inventory of product samples, stability samples, and test materials in the lab.</li><li>Uses laboratory software for sample, reference standard, chromatographic column management.</li><li>Verifies accuracy of labeling/documentation provided with samples.</li><li>Informs QC Coordinator if chemical or reference standard is expired for removal from laboratory area.</li><li>Send samples for outside testing. Submit samples to the appropriate labs for testing.</li><li>Create and maintain reports including quality data trending, informational spreadsheets, laboratory log spreadsheets.</li><li>Compile a list of necessary laboratory supplies specifically reference standards, contacting vendors to obtain quotes.</li><li>Uses the purchasing system to procure laboratory supplies.</li><li>Provide status updates to QC management and other departments regarding the submission of samples.</li><li>Maintain a safe work environment by following standards and procedures and complying with legal regulations.</li></ul> Lab Equipment <ul><li>Maintains, operates equipment and instruments supporting sample processing.</li><li>Provides general laboratory support such as routine instrument cleaning/preventative maintenance/calibration, sample receiving, chemical inventory, document filing and housekeeping.</li><li>Works with internal resources to maintain lab in an optimal state. Cleans lab working surfaces and disposes of any excess chemicals, solutions, solvents, etc. in the special waste containers for each class of waste chemicals.</li><li>Under close supervision, learns to troubleshoot basic instrument problems.</li></ul> Investigations&nbsp; <ul><li>Escalates any trends/events to the QC Lab Manager.</li><li>Escalates any sample and reference standard documentation issues to the QC Lab Manager.</li><li>With guidance, participates in OOS/OOT/NOE and other investigations.</li><li>Assists, as and when needed, scientists working in the laboratory.</li><li>May assist in drafting, editing, and reviewing SOPs.</li></ul> Training <ul><li>Maintains assigned training records current and in-compliance.</li><li>May assist in the training of laboratory staff.</li></ul> Compliance&nbsp; <ul><li>Performs assigned work in a timely and safe manner conforming to regulatory, company and compendia requirements within pharmaceutical manufacturing setting.</li><li>Documents accurately data generated in notebooks/worksheets/LIMS in compliance with SOPs.</li><li>Follows internal processes related to controlled substances.</li></ul> Safety <ul><li>Follows EH&amp;S procedures to ensure a safe work environment.</li><li>Follows all applicable safety and standards guidelines, such as SOPs, cGMP, DEA regulations good documentation practice and/or MSDS.</li></ul> Requirements: Education &amp; Experience <ul><li>College graduate, preferably in a Science related field.</li><li>Laboratory experience related to sample management preferred.</li></ul> Knowledge <ul><li>Basic knowledge of sample management in a laboratory environment.</li><li>Some knowledge of applicable safety and standards guidelines: SOP, cGMP, GLP, DEA regulations and/or MSDS.</li><li>Competency in Microsoft Office Suite.</li><li>Proficiency with computer savvy.</li></ul> Skills &amp; Abilities <ul><li>Ability to display and analyze data in a logical manner.</li><li>Good verbal and written communication skills as well as good computer skills.</li><li>Attention to details and accurate record keeping.</li><li>Establish and maintain cooperative working relationships with others.</li><li>Solid organizational skills</li><li>Ability to take initiative, set priorities and follow through on assignments.</li></ul> Physical Requirements <ul><li>Extended periods of sitting, standing, walking, reaching, climbing/balancing, kneeling/crouching/crawling, looking at monitor for extended periods, moderate noise levels and potential business travel.</li><li>Work is in an FDA and DEA-regulated pharma lab environment with risk of exposure to various chemicals.</li><li>Must occasionally lift and/or move up to 15-25 lbs.</li><li>Ability to wear personal protective equipment, including respirators, gloves, etc.</li><li>Specific visions abilities are required by this job include close vision and color vision</li><li>Ability to occasionally tolerate significant differences in temperature and/or humidity for short periods.</li></ul>

Responsibilites: <ul><li>Develop and implement site-wide EHS programs aligned with federal, state, and local regulations, including OSHA, EPA, and DEA requirements for controlled substances.</li><li>Lead risk assessments, job hazard analyses (JHAs), and containment evaluations, particularly in areas handling high-potent and controlled substances.</li><li>Serve as the primary liaison for EHS-related aspects of DEA compliance, supporting controlled substance handling protocols in collaboration with Quality, Security, and Operations.</li><li>Oversee the environmental and safety controls for controlled substances, ensuring proper ventilation, storage, access restrictions, spill response, and waste disposal procedures in compliance with DEA and EPA regulations.</li><li>Develop and maintain physical and procedural controls related to controlled substance areas (e.g., vaults, restricted labs, destruction processes) in partnership with Security and Regulatory Affairs.</li><li>Lead the investigation and root cause analysis of all incidents, near-misses, and controlled substance discrepancies, and implement corrective/preventive actions.</li><li>Ensure training and education of site personnel in EHS best practices, with a focus on potent compound safety, exposure monitoring, and controlled substance handling protocols.</li><li>Implement industrial hygiene programs, including monitoring of airborne concentrations and potential operator exposure to potent and hazardous compounds.</li><li>Establish robust programs for emergency preparedness, including chemical spills, fires, security threats, and controlled substance incidents.</li><li>Maintain all required permits, records, and documentation related to hazardous waste, emissions, safety incidents, and controlled substance EHS compliance.</li><li>Partner with Engineering, Validation, and Operations to incorporate EHS and security standards into facility, utility, and equipment design and commissioning.</li><li>Foster a strong culture of safety, accountability, and environmental stewardship at all levels of the organization.</li></ul> Requirements: <ul><li>Bachelor’s degree in Environmental Science, Occupational Health &amp; Safety, Chemical Engineering, or related field (Master’s preferred).</li><li>Minimum of 7–10 years of progressive EHS experience in a GMP-regulated pharmaceutical or biotechnology manufacturing environment.</li><li>Direct experience managing EHS compliance for controlled substances (DEA Schedules II–V) and high-potency APIs strongly preferred.</li><li>In-depth knowledge of OSHA, EPA, DEA, NJDEP, and global EHS regulations and guidelines.</li><li>Familiarity with industrial hygiene, containment technologies, and safe handling procedures for potent compounds</li><li>Experience leading EHS activities during greenfield/startup site development and qualification is a plus.</li></ul>

Responsibilities: <ul><li>Develop distributed system architecture and system integration&nbsp;&nbsp;</li><li>Design event-driven applications leveraging microservices architecture on cloud platform&nbsp;</li><li>Carry out Model and assess complex IT solutions&nbsp;&nbsp;</li><li>Work closely with platform engineers and other IT professionals to choose compatible design solutions&nbsp;</li><li>Manage and comply with release management process&nbsp;</li><li>Analyze the scope and expected organizational impact of information systems&nbsp;</li><li>Evaluate existing systems and provide advice on how to meet organizational requirements&nbsp;</li><li>Ensure that the technical components of the project are in sync with the business needs of the organization&nbsp;</li><li>Ensure that information systems are secure from threat&nbsp;</li><li>Provide advice on project design, project costs, and expected benefit&nbsp;</li><li>Identifies technical debt and proactively recommends alternatives or improvements&nbsp;</li></ul> Requirements: <ul><li>University degree in Computer Science, Computer Engineering or related subjects preferred&nbsp;&nbsp;</li><li>8+ years of work experience building applications&nbsp;</li><li>Advanced understanding of IT infrastructure and enterprise architectures&nbsp;</li><li>Proven experience with microservices-based architecture&nbsp;</li><li>Proficiency in coding with modern programming languages such as C#, Python, or Node.js&nbsp;</li><li>API-first development experience&nbsp;</li><li>Experience with Cloud Computing (Azure preferable)&nbsp;</li><li>Extensive expertise in any modern document-oriented database, with a preference for MongoDB&nbsp;</li><li>Experience in developing components for Event-Driven Architecture, with a minimum of production-level experience using Event Hubs or Event Grid (or similar technologies like Kafka)&nbsp;</li><li>Experience working in an agile environment with a focus on engineering practices like testing, continuous integration, etc.&nbsp;</li><li>Good knowledge of virtualization&nbsp;&nbsp;</li><li>Analytics mindset with critical thinking and problem-solving skills&nbsp;</li><li>Fine knowledge of industry trends and emerging technologies&nbsp;</li><li>Fluent in English&nbsp;</li></ul>

Responsibilities: Warehouse &amp; Materials Management <ul><li>Oversee all warehouse activities including receiving, storage, handling, and internal material movement to ensure compliance with cGMP, DEA, and safety regulations.</li><li>Develop and maintain systems for inventory management, accuracy, and traceability, including raw materials, components, packaging, and finished goods.</li><li>Ensure timely and compliant movement of materials to support production schedules and product release timelines.</li><li>Collaborate with Quality and Compliance teams to maintain cGMP storage practices, support inspections, and ensure readiness.</li></ul> Planning &amp; Supply Coordination <ul><li>Lead the site’s production and materials planning processes to ensure timely availability of materials and resources to meet manufacturing demands.</li><li>Manage and optimize the site’s Master Production Schedule (MPS), material requirement planning (MRP), and capacity planning tools.</li><li>Coordinate with corporate Supply Chain and Procurement functions to align site planning with supplier performance and external manufacturing dependencies.</li></ul> Project Management &amp; Integration <ul><li>Serve as a site-level project manager for cross-functional initiatives including new product introductions (NPIs), facility readiness, equipment onboarding, and continuous improvement projects.</li><li>Develop project timelines, resource allocations, risk assessments, and stakeholder communication plans to ensure successful project execution.</li><li>Support greenfield and expansion activities by coordinating logistics, materials, and equipment staging activities.</li></ul> Systems &amp; Process Development <ul><li>Lead implementation and optimization of ERP and warehouse management systems to enable efficient and compliant operations.</li><li>Develop and implement SOPs, training programs, and KPIs across warehouse and planning functions.</li><li>Identify opportunities for process automation, waste reduction, and continuous improvement in site logistics operations.</li></ul> Requirements: Qualifications / Experience: <ul><li>Bachelor’s degree in Supply Chain, Engineering, Business, Operations Management, or related field.</li><li>7+ years of progressive experience in warehouse, planning, or project management roles within pharmaceutical or highly regulated industries.</li><li>Strong understanding of cGMPs, DEA requirements for controlled substances, and sterile manufacturing logistics.</li><li>Proven experience implementing ERP systems (SAP, Oracle, etc.) and managing warehouse or supply chain digital tools.</li><li>PMP certification or formal project management training strongly preferred.</li></ul> Skills/Competencies: <ul><li>Strong organizational, analytical, and problem-solving skills.</li><li>Effective leadership and team-building abilities across cross-functional stakeholders.</li><li>Proficiency in project management tools and planning systems.</li><li>Excellent verbal and written communication with the ability to influence at all levels.</li><li>High sense of ownership, attention to detail, and adaptability in a fast-paced, startup environment.</li><li>Commitment to compliance, quality, and patient-centered operations.</li></ul>

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: <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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47 cloud storage Jobs found

Senior Business Intelligence Analyst

Salesforce Developer

Associate Data Engineer

Senior - Data Engineer

QC Lab Sample Coordinator

Environmental Health and Safety (EHS) Manager

C# Developer (SSE)

Manager, Site Logistics & Project Integration

Digital Factory Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

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47 cloud storage Jobs found

Senior Business Intelligence Analyst

Salesforce Developer

Associate Data Engineer

Senior - Data Engineer

QC Lab Sample Coordinator

Environmental Health and Safety (EHS) Manager

C# Developer (SSE)

Manager, Site Logistics & Project Integration

Digital Factory Engineer

Senior Machine Learning Engineer (Production & MLOps Focus)

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