Product Engineer/Senior - FDC/R2R

Mechanical Maintenance Engineer - Automation Technology

QA Associate II

Facilities Supervisor III

Manufacturing Engineer

Senior Software Engineer AI

Data & ML Architect

DEA Manager

Cost Accountant

Manager, Data Science - Agentic AI

Responsibilities: <ul><li>Develop, maintain, and deploy FDC models to monitor equipment health, detect process faults, and identify abnormal tool or process behavior.&nbsp;</li><li>Design and implement R2R control solutions using feed-forward and feedback strategies to improve recipe control, metrology target achievement, and process stability.</li><li>Deploy, validate, standardize, and scale APC/FDC/R2R models and methodologies across production tools, processes. Collaborate with global teams to standardize APC methodologies across manufacturing sites.</li><li>Design and deploy predictive maintenance models to detect early signs of degradation, anomalies, and potential failures of tools.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Computer Science or&nbsp;Electronic/Electrical Engineering, with preferably min. 2 years’ experience in semiconductor field</li><li>Experience deploying production FDC and/or R2R solutions is an added advantage</li><li>Excellent knowledge of applying manufacturing statistics, preferably in Semiconductor industry.</li><li>Foundational knowledge of machine learning models, algorithms, mathematics, and statistics is preferred.</li><li>Excellent knowledge of applying manufacturing statistics, preferably in Semiconductor industry.</li><li>Dynamic, initiative, resourceful, team player and highly self-motivated individual.</li><li>Strong organizational, leadership and interpersonal skills. (Senior/Staff)</li><li>Strong analytical mind. (Senior/Staff)</li></ul>

Responsibilities: This position is responsible for mechanical maintenance and assembling automation systems in the manufacturing. <ul><li>Maintenance work on mechanical, electronic and pneumatic systems, including inspections, cleanings and lubrications.</li><li>Creation of machine safety concepts and machine data concepts.</li><li>Design and optimization of automation solutions for production plants using PLC controllers, robotics, industrial image processing, drive technology, testing technology, safety technology and other automation technologies.</li><li>Programming and commissioning of PLC controllers, safety controllers and HMI systems.</li><li>Mechanical design, assembly and wiring of machines and plants.</li><li>Integration of robotic systems and other automated components into existing production processes.</li><li>Functional tests and performance tests on automation systems, troubleshooting and optimization of control programs.</li><li>Preparation of technical documentation, operating instructions and training material.</li><li>Collaboration in planning and implementing projects for modernization and expansion of our production facilities.</li><li>Support in training of new employees in using new automation technologies.</li><li>Introduction of Industry 4.0 technologies (such as 3D printing, AMR, predictive maintenance, simulation, ).</li></ul> Requirements: <ul><li>Bachelors Degree in preferably mechanical engineering, automation engineering, mechatronics or a similar qualification.</li><li>Min 3 years of experience in industrial automation.</li><li>Knowledge of Cam-controlled machines like: Bihler (prefered), Wafios, Finzer.</li></ul>

Role Description: <ul><li>The Quality Associate I, Operations is responsible for actively participating in “on the floor” Quality activities during product manufacturing and/or packaging. Quality activities include product sampling and inspection, area clearance to confirm process readiness, non-conforming event support to resolve in-process issues, and process validation and qualification activities.</li><li>Communicates to multiple departments and supervision to provide timely process and issue updates.&nbsp;</li><li>Identifies and escalates issues or problems to appropriate supervision.</li><li>Participates as a team member on cross-functional teams. Participates in reviews and structured processes for continuous improvement</li></ul> Responsibilities: <ul><li>Performs physical inspection of in-process and finished product samples as assigned and according to the production schedule.</li><li>Collects samples from manufacturing and packaging according to the defined Batch Production Record and procedure requirements.</li><li>Is competent in all relevant processes (weighing, compounding, mixing, packaging, granulation, compression, coating, Liquids Mfg. and Batch Transfer, Creams &amp; Ointments Mfg. and Batch Transfer, Packaging, etc.) Follows internal processes related to controlled substances.</li><li>Performs GMP-related verifications including area, equipment and line clearances, cleaning, room inspection, material verification, etc. according to procedures</li><li>Actively participates in process validation and equipment qualification activities.</li><li>May execute computer data entries in SAP, Leucine, LIMS, and department databases.</li><li>Sampling and inspection of raw materials, packaging components, in-process, bulk, and finished drug product during manufacturing and packaging operations of commercial and non-commercial processes.</li><li>Performs manufacturing/packaging stage reviews of batch records.</li></ul> Requirements: <ul><li>High school diploma or equivalent with 4-7 years’ relevant experience OR</li><li>AA/AS degree with 3-6 years’ relevant experience OR</li><li>BA/BS degree with 2 -5 years’ relevant experienceRelated discipline and certification in assigned area a plus.</li><li>Experience with statistical sampling methods a plus.</li></ul> Knowledge &amp; Skills <ul><li>Attention to detail.</li><li>Strong documentation skills.</li><li>Ability to read and interpret SOPs and function within the scope of procedures.</li><li>Proficiency with basic math skills and basic experience with computers and software applications required.</li><li>Ability to learn new processes and procedures.</li><li>Able to communicate effectively with other departments, management and operational personnel.</li><li>Customer/Stakeholder focused (understands impact of daily work to compliance and overall business).</li><li>Proof-reading skills; ability to identify errors.</li><li>Ability to read and comprehend documentation and requirements set forth in Batch Production Records (BPRs).</li><li>Experience with Enterprise Resource Planning (ERP) system is a bonus.</li><li>Ability to work overtime as needed, including occasional weekend shifts.</li></ul> Physical Requirements <ul><li>Lift 15 lbs.</li><li>Walk across plant/warehouse.</li><li>Wear appropriate gowning as required.</li><li>Ability to read for extended periods of time.</li></ul>

Responsibilities: Safety and Legal Compliance: <ul><li>Familiarity with the operational legal requirement of the plant from DOLE, PEZA, DENR, LLDA, FPIP-DOR, BFP, FDA, PNP, PDEA, etc.</li><li>With on Safety Requirements for LOTO, Machine Guarding, Control Reliability, Work at Heights, Electrical Safety, Confined Spaces, Cyanide Alarms and sensors, etc.</li></ul> Supervision and Management of Plant Facilities Operation and Maintenance specifically the following: <ul><li>HVAC System</li><li>Compressed Dry Air</li><li>Electrical System</li><li>Water and Sewer Waste Water Operation</li><li>Plating Water and Wastewater Treatment</li><li>Building Maintenance and Building Management System</li><li>Electronic Controls and PLC System</li><li>Elevator System</li><li>Genset</li><li>Vacuum System</li><li>Fire protection and detection system</li><li>Paging System</li><li>Boiler, Scrubber and Mist Eliminator System</li><li>With ability to troubleshoot and recommend cost and life-cycle improvement for each process.&nbsp;</li></ul> Project Management and Cost Control: <ul><li>Leads the plant requirement on all its improvement project initiatives.</li><li>Highly knowledgeable on applicable engineering standards to recommend in the project design stage.</li><li>Up to date on the market costing to ensure accurate project cost estimation.</li><li>Recommend and review third party contracts.</li><li>With technical know-how to recommend fastest approach in meeting the deadline without issue on project quality.&nbsp;</li><li>Cost Cost Reduction Recommendation and Implementation:</li><li>Reviews plant performance related to power, water and expenses and recommend cost reduction measures.</li><li>Lead the plant to all Energy Conservation and Reduction programs.</li><li>Knowledgeable in Digital factory deployment such as Hydra Traceability, MES, Machine Connectivity for OEE tracking.</li></ul> Requirements: <ul><li>Licensed Engineer (ME, EE, ECE) with more than 10 years’ experience in Facilities Operation and Management in manufacturing set-up.&nbsp;</li><li>Able to communicate his/her idea to all levels of the organization.&nbsp;</li><li>Highly technical and analytical with People Management Skills.&nbsp;</li><li>Must have negotiation skills and able to work under pressure with ease and confidence.</li></ul>

Responsibilities: <ul><li>Responsible for various KPI’s pertaining manufacturing engineering and Team Management skills is must.</li><li>Responsible for assembly Process, Tool Design development, (New &amp; Old tools) Qualification and Trial</li><li>Improves manufacturing efficiency by analyzing planning workflow, space requirements, and equipment layout</li><li>Work with Global COE Assembly to drive continuous improvement in Assembly Technology / Process</li><li>Maintain proper documentation and for all assembly tooling, Spares and Process Set-up&nbsp;</li><li>Ensure all Tooling / automation design drawings (Soft &amp; Hard Copy) are up to date.</li><li>Impart trainings and development for new joiners, Technical Trainees etc.</li><li>Coordinate with Manufacturing Engineer for new product development and process improvement.</li><li>Assessing resource requirements and opportunity for Automation and Process Productivity improvement</li><li>Review of deployment</li><li>Review ISO documents and update, Engage in ISO audits.</li><li>Visit vendors for Assembly tooling assessment (Capability, Know How &amp; Capacity)</li><li>Monitoring of AM and PM and Effectiveness&nbsp;</li><li>Able to run the machine and instruct and train technicians to run the machine</li><li>CCD and PLC and Electrical Knowledge Preferably</li></ul> Requirements: <ul><li>Bachelor in Mechanical Engineering major or Electrical Engineering</li><li>10+ years’ experience and practitioner in the automation assembly and Tooling Design &amp; Development</li><li>CAD Knowledge Must, preferably Pro E / Creo &amp; Auto-cad, Solidworks, HMI (Human Machine interface).</li><li>DFM analysis, New automation or manual assembly / Tooling RFQ.</li><li>Assembly line Tooling &amp; Tool Debugging Knowledge.&nbsp;</li><li>Computer Knowledge, MS Office etc, SAP knowledge added advantage</li><li>Integrity; Accountability; Communication; Outgoing&nbsp;</li><li>Ergonomic and lean manufacturing practitioner</li><li>Advance digital acumen, MES (Manufacturing Execution System) and traceability.</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Role Description: <ul><li>The DEA Manager is responsible for ensuring the company maintains strict compliance with all DEA regulations and applicable state-level controlled substance laws.</li><li>This role manages the day-to-day requirements for handling-controlled substances, including quota management, licensing, ARCOS reporting, Suspicious Order Monitoring (SOM), material movement, and maintaining accurate records to ensure audit readiness at all times.</li></ul> Responsibilities: <ul><li>Manages a team supporting State Licensing, Suspicious Order Monitoring (SOM) and DEA.</li><li>Manages and submits DEA procurement quota applications.</li><li>Maintains and renews DEA, State, and Board of Pharmacy licenses and registrations for all company facilities.</li><li>Oversees the generation and execution of DEA 222 forms for the transfer and procurement of Schedule II controlled substances.</li><li>Acts as the primary point of contact during DEA and State Board of Pharmacy inspections and audits.</li><li>Liaises with Procurement and the DEA regarding the import/export of control substances and completes required documentation.</li><li>Prepares, reviews, and submits accurate and timely ARCOS reports to the DEA; Ensures accurate reporting of year-end and biennial inventories across all facilities.</li><li>Conducts internal audits of controlled substance vaults, cages, and manufacturing areas to ensure physical security and record-keeping compliance.</li><li>Drafts, reviews, and updates Standard Operating Procedures (SOPs) related to the handling, storage, and distribution of controlled substances.</li><li>Monitors federal and state legislative changes regarding controlled substances; advises management on the impact of new regulations and implement necessary operation shifts.</li><li>Coordinates all controlled substance destruction with the warehouse and the Environmental, Health &amp; Safety department.</li></ul> Requirements: Education &amp; Experience <ul><li>Bachelor’s degree in science, PharmD preferred.</li><li>5+ years of relevant work experience.</li><li>Strong knowledge of DEA and FDA regulations.</li></ul> Physical Requirements <ul><li>Ability to stand, walk, or climb stairs/ladders for extended periods while performing duties within the plant.</li><li>Occasional lifting or moving of materials or equipment (generally up to 25–40 lbs)</li><li>Frequent use of hands and eyes for computer work, and documentation.</li><li>Ability to wear required personal protective equipment (PPE) such as safety glasses, gowns, gloves, or respirators when entering manufacturing areas.</li><li>Capacity to work in cleanroom, environments, which may involve temperature variations, or noise.</li><li>Must be able to travel between facilities as needed</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

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40 cnc controlled grinding machine Jobs found

Product Engineer/Senior - FDC/R2R

Mechanical Maintenance Engineer - Automation Technology

QA Associate II

Facilities Supervisor III

Manufacturing Engineer

Senior Software Engineer AI

Data & ML Architect

DEA Manager

Cost Accountant

Manager, Data Science - Agentic AI

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40 cnc controlled grinding machine Jobs found

Product Engineer/Senior - FDC/R2R

Mechanical Maintenance Engineer - Automation Technology

QA Associate II

Facilities Supervisor III

Manufacturing Engineer

Senior Software Engineer AI

Data & ML Architect

DEA Manager

Cost Accountant

Manager, Data Science - Agentic AI

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

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