VAVE Staff Product Development Engineer

Senior Business Intelligence Analyst

Continuous Improvement Analyst III

Senior Manufacturing Engineer

Senior Manager Channel Sales

Quality Improvement Manager

Senior Quality & Reliability Engineer

QC Chemist

Microbiology Technician

Senior Machine Learning Engineer (Production & MLOps Focus)

Responsibilities: <ul><li>Lead VAVE initiatives to optimize cost, improve product performance, and enhance customer value while maintaining quality and reliability.</li><li>Go beyond traditional VAVE by driving R&amp;D in emerging materials, advanced manufacturing processes, automation, digital technologies, and innovative supplier solutions.</li><li>Collaborate with cross-functional teams, suppliers, and technology centers to identify, assess, and implement value-driven design and process improvements.</li><li>Develop and deploy tools and methods to analyze cost, performance, manufacturability, and sustainability throughout the product lifecycle.</li><li>Build and maintain a pipeline of VAVE projects in partnership with engineering, procurement, operations, and product management.</li><li>Serve as a subject matter expert in cost optimization and value engineering strategies, including advanced sourcing and alternative design concepts.</li><li>Partner with customers, sales, and product managers to gather Voice of Customer (VOC) insights and translate them into engineering solutions.</li><li>Provide technical support for cost-reduction activities, including design validation, troubleshooting, and verification of VAVE solutions.</li><li>Collaborate globally with manufacturing, procurement, and suppliers to ensure compliance with technical, quality, cost, and delivery objectives.</li><li>Introduce breakthrough engineering solutions that leverage new technologies and supplier capabilities to accelerate business growth.</li><li>Application Engineering: Understanding customer requirements and offering sustainable cost-efficient design solutions.</li><li>Engineering Management: Developing technical roadmaps aligned with market trends and effectively communicating them to business units, management, and customers.</li><li>Collaboration: Working efficiently with global teams and cross-functional stakeholders.</li><li>Technical Expertise: Adapting to new skills, futuristic materials, advanced manufacturing processes, automation, digital technologies, and innovative supplier solutions.</li><li>Quality Control: Ensuring accuracy and quality in services, documentation, and engineering outputs.</li></ul> Requirements: <ul><li>Master’s degree in mechanical engineering from premier institution.</li><li>Deep understanding of product, design, materials (metals/plastics properties), processes and manufacturing science/technology.</li><li>Knowledge of manufacturing processes such as machining, molding, stamping, and plating is advantageous.</li><li>Familiarity with material standards and agency approvals for connectors, cables, and cable assemblies.</li><li>Experience in environmental life cycle assessment, circular economy, or product stewardship/compliance.</li><li>Knowledge of ISO/IEC/UL standards related to carbon footprint and emissions reduction in industrial products.&nbsp;</li><li>Minimum of 12 years of experience in Product Development, R&amp;D and VAVE engineering.</li><li>Background in connector design (Power/Industrial/Auto connectors) is a plus.</li><li>Ability to work independently in a highly technical environment.</li><li>Expertise in Design for Cost (DFC), Design for Manufacturing (DFM), and Design for Sustainability (DFS).</li><li>Strong Presentation Skills: Proficiency in PowerPoint and effective communication of technical concepts.</li></ul>

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>Facilitate, lead, or coach Kaizen and Kaizen events across the organization.</li><li>Work collaboratively with tool or element owners to implement Continuous Improvement tools.</li><li>Lead and audit Continuous Improvement tools.</li><li>Train teams in Continuous Improvement methodologies, tools, and transformation methods (e.g., 5S, TPM, Value Stream Mapping, VSM-D, CCF, 3P, Lean Manufacturing).</li><li>Facilitate and train teams for transformation Kaizen events in highly impactful areas or production cells.</li><li>Obtain internal certifications such as Novice, Apprentice, and Practitioner level in Continuous Improvement.</li><li>Provide coaching to Novice and Apprentice practitioners.</li><li>Train and coach teams on plant Key Performance Indicators (KPIs).</li><li>Report periodic progress on assigned tools, metrics, and initiatives.</li><li>Conduct capacity analysis and mentor production supervisors on managing line capacity.</li><li>Develop scenarios for capacity planning, including footprint analysis.</li><li>Apply advanced knowledge in line balancing and its implications for realistic planning (cross-training, validations, capacity planning, hiring requirements, etc.).</li></ul> Requirements: Knowledge &amp; Experience <ul><li>Bachelor’s Degree in Industrial Engineering or related field.</li><li>3–5 years of experience in continuous improvement, cost savings, or productivity improvement roles.</li><li>Lean certification required.</li><li>Green Belt or Black Belt certification is desirable.</li><li>Experience in process improvement, Six Sigma, and product/process qualification and validation.</li><li>Bilingual (English/Spanish).</li></ul> Skills <ul><li>Proficiency in Microsoft Office 365.</li><li>Strong skills in Excel (Pivot Tables, Charts, Macros), PowerPoint, MS Project, AutoCAD (or similar), Minitab, and simulation software.</li><li>Knowledge of problem-solving techniques.</li><li>Basic competency in creating dashboards using Power BI.</li><li>Basic knowledge of Power Automate or similar tools.</li><li>Ability to work under pressure with strong communication and teamwork skills.</li><li>Experience influencing all organizational levels to support an Operational Excellence culture.</li></ul>

Responsibilities: <ul><li>Lead a dedicated team of engineers and technicians within the Projects or Manufacturing group.</li><li>Ensure that engineers are fully integrated into the overall project team and production support activities.</li><li>Plan and implement training and development programs for direct reports.</li><li>Complete process design and development projects by training and guiding technicians.</li><li>Provide coaching and mentorship to team members.</li><li>Establish engineering goals and objectives aligned with business plans.</li><li>Identify and implement effective, permanent technical and system solutions to problems.</li><li>Consistently meet customer requirements, performance expectations, and deadlines.</li><li>Prepare product and process reports by collecting, analyzing, and summarizing information and trends.</li><li>Champion compliance with internal systems and processes.</li><li>Identify and develop improvements to enhance Service, Delivery, Quality, and Cost metrics using Lean/Six Sigma methodologies.</li><li>Research advanced process technologies and evaluate potential competitive advantages and cost benefits.</li><li>Lead or guide a portfolio of engineering projects in collaboration with cross-functional teams (e.g., NPI, quality engineering, design assurance, R&amp;D).</li><li>Collaborate with teams to plan, coordinate, and implement activities supporting the successful launch of new products, including make/buy analysis, new process introduction, and more.</li><li>Develop or modify manufacturing processes by studying product requirements and designing, modifying, or testing manufacturing methods and equipment.</li><li>Maintain professional and technical knowledge through workshops, publications, networking, and participation in professional societies.</li><li>Manage external relationships with key technology suppliers.</li><li>Oversee workload distribution among engineers and technicians to meet operational and business priorities.</li></ul>&nbsp;Requirements: Education &amp; Experience <ul><li>Bachelor’s degree or equivalent in an Engineering field with 5–10 years of experience in a demanding high-volume production environment or a high-mix, low-volume environment.</li><li>Experience in medical devices or similar regulated manufacturing and quality systems is essential.</li><li>Proficiency with CAD tools; SolidWorks preferred.</li><li>Experience using Minitab, MS Project, and advanced Excel.</li><li>Demonstrated ability to lead a production-focused team, drive technical problem solving, and manage line setup including equipment acquisition and process development.</li><li>Working knowledge of Lean and/or Six Sigma engineering principles with proven results.</li><li>Statistical knowledge, including data analysis and statistical software (JMP, Minitab, etc.).</li><li>Lean Six Sigma Green Belt certification preferred.</li><li>Excellent communication, planning, and organizational skills.</li><li>Self-motivated with strong decision-making abilities.</li><li>Willingness to work independently and to take on an international assignment of up to 3 months.</li><li>Fluent in English (written and verbal), &gt;80% proficiency.</li></ul>

Role Description:&nbsp;<ul><li>Senior Manager – Customer Service is responsible for continuing to drive transformational customer centric strategies geared around delivering extraordinary customer experiences and driving sales growth for the team, while continuing the transformation of our Customer Care organization to a revenue generation organization through consultative selling. </li><li>The Manager would be also responsible for delivering a level of service &amp; driving unsurpassed growth which builds strong customer relationships to make client the supplier of choice. </li><li>Support Solution Center strategic initiatives and drive operational excellence. Support and mentor fellow team Leaders to meet/exceed organizational goals.</li></ul>&nbsp;Responsibilities:&nbsp;<ul><li>Responsible &amp; Accountable to drive revenue and revenue growth.</li><li>Ensure that customer’s challenges are solved by providing excellent customer experience that exceeds customer expectations.</li><li>Implement processes and methods to eliminate barriers and inhibitors to success on a local level.</li><li>Understands market influencers and conditions.&nbsp;</li><li>Drive/influence our current/future product positioning to gain or re-gain market share.&nbsp;</li><li>Understands key components of a Competitive Landscape: customers’ needs and how you can address those needs; how you compare against your competitors in meeting those needs.&nbsp;</li><li>Drives brand awareness and positioning with our customers and distribution partners (Solutions and capabilities).</li><li>Think strategically and lead multiple teams.</li><li>Mentor and develop team Leaders and nurture an environment where they can excel in their current role.</li><li>Own and be accountable for achieving specific departmental objectives and in meeting both sales and Customer Experience goals of Solution Center India.</li><li>Lead and drive all Global Solution Center strategic initiatives in India.</li><li>Equip your team to develop, enhance and grow customer relationships through lead generation, building an opportunity pipeline, nurturing customers through their buying journey and driving customer loyalty.</li><li>Observe and coach your team in their work activities, providing immediate feedback through coaching discipline and following up to ensure appropriate actions are taken by the team</li><li>Recruit new talent and develop a strong talent bench that will embrace the vision and transform the organization.</li><li>Champion transformation initiatives and positively drive the change initiatives within the team.&nbsp;</li><li>Drive operational excellence and continuous improvement mind-set within your team.</li><li>Grow and nurture your team by providing inclusion and engagement opportunities, as well as developing them for their future careers.&nbsp;</li><li>Liaising effectively with various internal business partners like engineering, planning, and sales to resolve Customer inquiries and requests.</li></ul> Requirements:&nbsp; QUALIFICATIONS &amp; EXPERIENCE&nbsp;<ul><li>Bachelor’s degree in Engineering/Management/Science required, MBA preferred.</li><li>Overall 20+ years of professional experience in a multi-national Sales &amp; Business development role leading Sales operations and/or Customer support, with at least last 10 years of experience in Managerial position leading large teams with good proven track records driving sales, customer satisfaction and developing high performing teams.</li><li>Previous experience working in Corporate Sales and should have managed Channel sales, Distribution, customer support &amp; contact center.</li><li>Proven success record of change management efforts in pre &amp; Post Sales Process, customer Support &amp; Sales functions.</li><li>Proven experience of leading large and multi layered teams</li><li>Strong Skills to Drive Opportunity/leads through system like SFDC.</li><li>Excellent knowledge of management methods and techniques.</li><li>Demonstrated experience in working effectively and directly with all levels of the organization.</li><li>Industry specific experience is a plus.</li><li>Excellent communication skills.</li></ul>&nbsp;COMPETENCIES/SKILLS:&nbsp;<ul><li>Customer ‘centric’ and sales mind-set.</li><li>Business Acumen.</li><li>Consultative Selling experience &amp; skills.</li><li>Ability to lead team spread in different countries within your region.</li><li>Servant Leadership.</li><li>Result oriented.</li><li>Ability to maintain progress on multiple tasks, set priorities, and manage time effectively</li><li>Ability to adapt, be agile and drive change.</li><li>Strong communication (written and verbal), persuasion and interpersonal skills</li><li>Ability to establish strong business relationships with other Business units and cross functional departments.</li><li>Ability to influence without authority</li><li>Collaborative, ability to build strong relationships with cross-functional partners within a global and diverse organization.</li><li>Demonstrate proactive positive attitude and instill the same within the team.</li></ul>&nbsp;KEY PERFORMANCE MEASUREMENTS:&nbsp;<ul><li>Strategy, Execution and Talent (SET).</li><li>Employee Engagement.</li><li>Revenue &amp; New Customer Acquisition.</li><li>Customer Effort Score.</li><li>Efficiency/Productivity Improvement.</li></ul>&nbsp;MOTIVATIONAL/CULTURAL FIT&nbsp;<ul><li>Be a coach.</li><li>Building Effective teams.</li><li>Managing and Measuring Work.</li><li>Self-Motivated.</li><li>SET: Strategy, Execution, Talent (for managers).</li><li>Values: Integrity, Accountability, Inclusion, teamwork, Innovation.</li></ul>

Role Information: <ul><li>The Quality Improvement Manager is responsible to drive and support improvement activities and convergent Problem-Solving competencies within AUT ASEAN, leveraging scalable methodologies and digital tools while unleashing people’s talent.</li><li>Working in collaboration with production plant at Gateway Thailand towards waste reduction and improving Incidents on our customer base.&nbsp;</li><li>She/he is the Leader in ASEAN Problem Solving Committee and leads cross functional teams to solve complex and difficult manufacturing and quality problems.</li><li>She/he contributes to the project selection that will have the highest impact on plant metrics.</li><li>She/he coaches plant problem solvers and ensures their development</li></ul> Responsibilities: <ul><li>Leader in ASEAN Problem Solving (PS) Committee.</li><li>Organize regular meeting review status &amp; planning.</li><li>Promote PS culture throughout the Plant and ASEAN at all levels.</li><li>Promote the selection of the projects that will have the highest impact on plant metrics (eg. CoPQ) and manage all PS projects including PS initiatives from Line QRM escalation to VSM/Plant Level.</li><li>Support production improvement process through PS projects.</li><li>Lead cross-functional team to apply diligently a structured problem-solving methodology that best fits the situation (Shainin, SPS, Six Sigma or other equivalent methods as described by the Shifting Gears)</li><li>Follow up all PS projects with project owner and provide coaching to ensure PS methodologies are correctly applied.</li><li>Regular project coaching with PS Master from Global, and follow-up to project closure and realize saving.</li><li>Proactively anticipate roadblocks to find solutions and escalate when needed.</li><li>Report out project progress, people development and savings to PS Committee and Management.</li><li>Tabulate and manage Plant/ASEAN people PS skill matrix and identify training needs, plan &amp; execution.</li><li>Coach, Develop and Expand local Problem Solver Practitioners.</li><li>Represent ASEAN in PS matter and report status to regional and global level.</li><li>Alignment with AP and Global PS leaders for new PS initiatives and execution.</li><li>Any other assignments as delegated by reporting Manager.</li></ul> Requirements: <ul><li>Engineering degree (Mechanical or Electrical Engineering).</li><li>Strong understanding of 6 Sigma tools and Minitab usage.</li><li>Strong understanding of engineering fundamentals and product design</li><li>Experience in taking project using structured problem-solving methodology (Shainin Red-X, 6 Sigma, etc).</li><li>Experience in coaching and training.</li></ul> Specific Requirements(Mandatory): <ul><li>Certified Red X Master or Master Candidate (ability to coach) or Kepner-Tregoe.</li><li>Strong understanding of 6 Sigma tools and Minitab usage.</li><li>Able to develop Dashboard (PowerBI) and to apply Data Science (Python, R).</li></ul>

Responsibilities: Quality System &amp; Compliance <ul><li>Develop and implement quality and reliability processes to support NPI.</li><li>Lead the development and scaling of the site Quality Management System (QMS).</li><li>Ensure QMS elements (management reviews, internal audits, supplier management) comply with global standards.</li><li>Act as Lead Auditor for internal audits and ensure compliance with ISO 13485 and FDA QSR.</li><li>Support external audits, including preparation, mock audits, and corrective actions.</li><li>Review and approve ECOs, DCOs, training matrices, and other NPI documentation.</li><li>Maintain updated quality policies and procedures aligned with evolving standards.</li></ul> NPI Planning &amp; Execution <ul><li>Represent Quality in customer meetings and business reviews.</li><li>Collaborate with cross-functional teams including engineering, manufacturing, PMO, and supply chain.</li><li>Support implementation of electronic quality systems for improved traceability and documentation.</li><li>Evaluate product development objectives to identify quality improvement opportunities.</li><li>Create, review, and maintain quality system documents specific to NPI.</li><li>Calculate and present NPI quality KPIs.</li></ul> Continuous Improvement &amp; Problem Solving <ul><li>Lead or support quality system improvement projects.</li><li>Use statistical and scientific methods to analyze data and drive improvements.</li><li>Provide expertise in CAPA, root cause analysis, and reliability engineering tools.</li><li>Facilitate cross-functional improvement teams focused on NPI processes.</li></ul> Training &amp; Leadership <ul><li>Conduct training in GDP, GMP, CAPA, and compliance topics.</li><li>Oversee CAPA investigations to ensure true root cause identification and effective corrective actions.</li><li>Supervise and mentor Quality Engineers supporting NPI initiatives.</li></ul> Requirements: Required Skills &amp; Competencies Core Competencies <ul><li>Strong technical learning ability</li><li>Excellent problem-solving and analytical thinking</li><li>High ethical standards and integrity</li><li>Action-oriented and self-driven</li></ul> Job-Specific Skills <ul><li>Knowledge of NCMRs, CARs, CAPA, customer complaints, RMA metrics, DPPM, and DLPM</li><li>Strong technical "hands-on" skills</li><li>Excellent communication and interpersonal abilities</li><li>Ability to manage multiple tasks in a fast-paced environment</li><li>Strong prioritization and organizational skills</li><li>Proficiency in Microsoft Office (Word, Excel, PowerPoint, Visio)</li><li>Advanced technical report writing skills</li><li>Strong understanding of ISO 13485 and FDA QSR</li><li>Bilingual English (Advanced) / Spanish preferred</li><li>Willingness to travel up to 20% (based in Costa Rica)</li></ul> Experience &amp; Education <ul><li>Experience: 5+ years of Quality leadership experience in a manufacturing environment, preferably in multinational settings and NPI roles.</li><li>Education: Bachelor’s degree in a scientific or engineering discipline.</li><li>Certifications: CQE/CSSBB certification preferred.</li></ul>

Role Description: <ul><li>The QC Chemist will be a critical member of the laboratory team responsible for performing analytical testing to ensure the quality, safety, and compliance of sterile injectable IV bag products at a newly established greenfield pharmaceutical manufacturing facility.</li><li>This role will support the development, validation, and execution of analytical methods, ensure timely release of raw materials, in-process samples, and finished products, and maintain strict adherence to cGMP, FDA, and global regulatory standards.</li><li>The QC Chemist will play a key role in establishing laboratory operations during the startup phase and sustaining high standards of laboratory excellence throughout routine commercial production.</li></ul> Responsibilities: <ul><li>Perform analytical testing of raw materials, in-process samples, stability samples, and finished products using validated methods (e.g., HPLC, GC, UV-Vis, FTIR, TOC, etc.).</li><li>Develop and validate new analytical methods as required to support product development, regulatory submissions, and process optimization.</li><li>Ensure compliance with cGMP, FDA, USP, and other regulatory standards in all laboratory activities, documentation, and data integrity.</li><li>Prepare and review laboratory documentation including test protocols, reports, COAs, deviations, OOS investigations, and change control documentation.</li><li>Maintain laboratory instruments, perform routine calibrations, troubleshooting, and coordinate with vendors for preventive maintenance and repairs.</li><li>Support laboratory readiness for regulatory inspections, audits, and customer visits by maintaining audit-ready documentation and laboratory practices.</li><li>Assist in the preparation and execution of laboratory investigations, CAPA implementation, and root cause analysis for any analytical deviations.</li><li>Collaborate with cross-functional teams including Manufacturing, Quality Assurance, Validation, and Regulatory Affairs to ensure seamless batch release and product compliance.</li><li>Participate in training programs to ensure technical competency and adherence to evolving regulatory requirements.</li><li>Contribute to continuous improvement initiatives focused on laboratory efficiency, data integrity, and compliance robustness.</li></ul> Requirements: Qualifications/Experience: <ul><li>Bachelor’s or master’s degree in chemistry, Pharmaceutical Sciences, or related field.</li><li>3+ years of experience in pharmaceutical QC laboratory, preferably in sterile injectable manufacturing.</li><li>Strong hands-on experience with analytical instrumentation (HPLC, GC, UV, FTIR, etc.) and GMP-compliant laboratory operations.</li><li>Knowledge of FDA cGMP regulations, USP standards, ICH guidelines, and data integrity expectations.</li><li>Experience supporting laboratory investigations and regulatory inspections.</li></ul> Skills/Competencies: <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy in laboratory work.</li><li>Good understanding of data integrity and documentation practices.</li><li>Ability to work both independently and as part of a team in a dynamic startup environment.</li><li>Excellent organizational, time management, and communication skills.</li><li>Ability to adapt to evolving processes and regulatory requirements in a greenfield manufacturing setting.</li></ul>

Responsibilities: <ul><li>Perform routine environmental monitoring (viable and non-viable) in classified cleanroom areas (Grade A/B/C/D), including surface and personnel monitoring. Manufacturing is performed inside isolators with surrounding grade C environment.</li><li>Collect and test samples from water systems (e.g., purified water, WFI), compressed gases, and other utilities per GMP and site procedures.</li><li>Support aseptic process simulations (media fills), including preparation, execution, and recovery/interpretation of microbiological data.</li><li>Perform microbiological tests such as bioburden, endotoxin (LAL), and sterility testing for raw materials, in-process samples, and finished products.</li><li>Prepare microbiological media, perform growth promotion testing, and maintain inventory of reagents and supplies.</li><li>Maintain laboratory notebooks, logs, and electronic systems in a compliant and organized manner, ensuring adherence to data integrity standards.</li><li>Support qualification and validation activities including cleanroom and utility qualifications, method validations, and EM qualification mapping.</li><li>Assist in investigations related to microbial excursions or deviations and contribute to the development and implementation of CAPAs.</li><li>Support microbiology lab startup activities including equipment qualification, SOP development, and execution of technical transfer protocols.</li><li>Follow all safety, quality, and regulatory policies, and maintain compliance with cGMP, USP, EU Annex 1, and other applicable guidelines.</li></ul> Requirements: Qualifications/Experience: <ul><li>Associate’s or bachelor’s degree in microbiology, Biology, Life Sciences, or a related field.</li><li>1–3 years of microbiology laboratory experience in a GMP-regulated pharmaceutical or biotechnology manufacturing environment.</li><li>Experience working in sterile environments or supporting aseptic processes preferred.</li><li>Familiarity with environmental monitoring equipment (e.g., particle counters, air samplers), microbiological techniques, and lab instrumentation.</li><li>Knowledge of cGMPs, data integrity principles, and microbiological standards (USP &lt;61&gt;, &lt;62&gt;, &lt;71&gt;, &lt;85&gt;, &lt;1116&gt;).</li></ul> Skills/Competencies: <ul><li>Strong attention to detail and commitment to data accuracy and integrity.</li><li>Ability to work independently while collaborating effectively within a team</li><li>Good time management and organizational skills to support multiple tasks and priorities.</li><li>Proficient in the use of Microsoft Office and basic laboratory software systems.</li><li>Willingness to work flexible shifts or weekends to support aseptic operations and testing schedules, as needed.</li><li>A proactive and patient-focused mindset with a strong sense of ownership and compliance.</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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22 staining methods Jobs found

VAVE Staff Product Development Engineer

Senior Business Intelligence Analyst

Continuous Improvement Analyst III

Senior Manufacturing Engineer

Senior Manager Channel Sales

Quality Improvement Manager

Senior Quality & Reliability Engineer

QC Chemist

Microbiology Technician

Senior Machine Learning Engineer (Production & MLOps Focus)

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22 staining methods Jobs found

VAVE Staff Product Development Engineer

Senior Business Intelligence Analyst

Continuous Improvement Analyst III

Senior Manufacturing Engineer

Senior Manager Channel Sales

Quality Improvement Manager

Senior Quality & Reliability Engineer

QC Chemist

Microbiology Technician

Senior Machine Learning Engineer (Production & MLOps Focus)

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

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