Data Engineer, Senior

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

Inspection Technician

Senior Machine Learning Engineer

EHS Analyst

Warehouse Technician

Buyer/Planner

Senior AI Engineer

Mechatronics Engineer

Responsibilities: <ul><li>Design, develop and deploy process automation workflows to support Smart Factory operation.</li><li>Extract, transform and analyze data into accurate, meaningful and actionable reports to support operational and business decision making, such as yield reports with data visualizations and recommendations.</li><li>Play a role as a bridge between business, IT and vendor(s) to support new loaders, functionalities and enhancements for Yield Management System such as Discover Yield tools, Tableau dashboards as well as Advanced Yield Examination internal tools.</li><li>With Product and Process knowledge, ensure data integrity for YMS tools.</li><li>Combine statistics, machine learning and computer science to turn data into actionable insights for solving complex process issue(s).</li><li>Design, build and maintain Predictive AI Models to enable proactive decision-making.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Computer Science or&nbsp;Electronic/Electrical Engineering, with min. 2 years’ experience in Data Analytics field.</li><li>Proficiency in SQL and experience working with relational databases.</li><li>Strong working knowledge of statistics and its applications.</li><li>Experience in building automated reports.</li></ul>

Responsibilities: QMS Ownership for Deliverable Software <ul><li>Translate AS9115 Rev A and AS9100:2016 requirements into practical procedures, work instructions, and templates.</li><li>Establish processes covering software planning, development, integration, verification/validation, release, delivery, and post-delivery support.</li><li>Ensure the QMS supports multiple development models (Agile, Waterfall, Incremental) while enforcing required quality controls including reviews, approvals, traceability, and documentation.</li></ul> Software Planning &amp; Requirements Quality <ul><li>Lead the creation and maintenance of Software Quality Plans.</li><li>Establish standards for requirements management ensuring requirements are:</li></ul> <ul><li>Clear</li><li>Unambiguous</li><li>Testable</li><li>Maintain bidirectional traceability from:</li><li>Requirements → Design → Code → Test → Release.</li></ul> Configuration Management &amp; Change Control Define standards for Software Configuration Management (CM) including: <ul><li>Baselines</li><li>Configuration item identification</li><li>Change evaluation and approval</li><li>Configuration status accounting</li><li>Integrate software configuration management with product and system configuration processes.</li><li>Ensure CM covers software, documentation, tools, environments, and build/release artifacts.</li></ul> Supplier &amp; COTS/NDS Management <ul><li>Establish standards for evaluation and acceptance of Commercial Off-The-Shelf (COTS) and Non-Developmental Software (NDS) used in deliverable products.</li><li>Define AS9115 control applicability with both customers and suppliers.</li><li>Support supplier qualification, audits, and incoming verification for software deliverables and services.</li></ul> Verification, Validation &amp; Test Assurance <ul><li>Define verification standards within the QMS including:</li><li>Static analysis</li><li>Peer reviews</li><li>Unit testing</li><li>Integration testing</li><li>System testing</li><li>Regression testing</li><li>Security testing</li><li>Ensure independence of verification activities where required.</li><li>Maintain controlled test environments, data integrity, and objective evidence for compliance audits.</li></ul> Release, Delivery &amp; Post-Delivery Support Develop procedures for: <ul><li>Software release criteria</li><li>Delivery records</li><li>Installation documentation</li><li>Post-delivery issue management</li><li>Patching and configuration updates</li><li>Ensure all processes align with AS9115 standards.</li></ul> Audits, Metrics &amp; Continuous Improvement Lead internal and customer audits related to AS9115/AS9100 compliance. <ul><li>Manage Corrective and Preventive Actions (CAPA).</li><li>Support external and second-party audits with aerospace OEMs.</li><li>Define and track key quality KPIs, including:</li><li>Requirements volatility</li><li>Defect density</li><li>Defect escape rate</li><li>Verification coverage</li><li>Audit findings aging</li><li>Build reproducibility</li><li>Change lead time</li></ul> Requirements: Bachelor’s or Master’s degree in: <ul><li>Software Engineering</li><li>Computer Science</li><li>Systems Engineering or a related discipline.</li><li>Minimum 5 years of experience in software quality or software engineering within aerospace, defense, or other regulated industries.</li><li>Hands-on experience implementing AS9100 quality processes with working knowledge of AS9115 software lifecycle controls.</li></ul> Strong experience in: <ul><li>Requirements management</li><li>Configuration management</li><li>Verification and validation</li><li>Software release governance</li><li>Experience managing COTS/NDS software integration and supplier quality.</li><li>Proven ability to lead audit activities and corrective actions using structured problem-solving tools such as:</li><li>5 Why</li><li>Ishikawa</li><li>8D</li></ul> Preferred Qualifications <ul><li>Experience supporting AS9115 second-party audits with aerospace OEMs.</li><li>Familiarity with DO-178C concepts and coordination with DO-254/ED-80 hardware processes.</li><li>Experience with ALM/PLM and configuration management tools, such as:</li><li>Polarion</li><li>IBM DOORS</li><li>CodeBeamer</li><li>Git / GitLab</li><li>Bitbucket</li><li>Azure DevOps</li><li>Knowledge of CI/CD pipelines, static analysis tools, and unit testing frameworks.</li><li>Exposure to CMMI-DEV processes and experience aligning them with AS9115 quality objectives.</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Role Description: <ul><li>Purpose Statement The Inspection Technician is responsible for sterile pharmaceutical inspection operations, with additional expectations for technical troubleshooting, routine maintenance, and active support of qualification activities.</li><li>This position operates in an isolator-based manufacturing environment, works with high potent APIs and controlled substances, and plays a key role in ensuring compliance with cGMP, safety, and site procedures.</li><li>The Inspection Technician serves as a technical resource within the production team and supports continuous improvement of manufacturing processes.</li><li>This position will include cross training for support of formulation, IV Bag filling, leak inspection, dispensing and packaging.</li></ul> Responsibilities: <ul><li>Operate, monitor, and adjust IV Bag inspection equipment and direct 100% inspection of filled IV-bags of various sizes and configuration.</li><li>Secondary responsibilities will include operating manufacturing equipment for formulation, filling, and packaging of IV bag products in compliance with SOPs, cGMP, and safety requirements.</li><li>Perform visual inspection of final product to ensure conformance with quality standards and specifications.</li><li>Perform AQL testing manually to verify integrity of the automated inspection system.</li><li>Serve as first-line troubleshooting support for equipment and GMP manufacturing issues, escalating to engineering or maintenance as required.</li><li>Support equipment and process qualifications, including protocol review, execution participation, and documentation completion.</li><li>Assist in the creation, revision, and implementation of SOPs and production-related procedures.</li><li>Provide training, guidance, and on-the-job support to other production personnel.</li><li>Perform cleaning, changeover, and line clearance activities to maintain manufacturing operations.</li><li>Accurately complete batch records, logbooks, and production documentation in compliance with data integrity requirements and cGMP practices.</li><li>Review documentation completed by fellow members of the production team.</li><li>Collaborate with Quality Assurance during in-process checks, deviation investigations, and CAPA activities.</li><li>Adhere to DEA and site procedures for controlled substance handling, including documentation and security protocols.</li><li>Work closely with cross-functional teams including Engineering, Validation, and Quality to support operational readiness.</li><li>Participate in continuous improvement and lean manufacturing initiatives to enhance safety, quality, and efficiency.</li></ul> Requirements: Qualifications/Experience <ul><li>High school diploma or equivalent required; associate degree or technical certification in a mechanical, engineering, or life sciences discipline preferred.</li><li>Minimum of 5 years’ experience in pharmaceutical or regulated manufacturing in areas of product post fill inspection.</li><li>Experience with sterile products or IV bag production preferred.</li><li>Demonstrated mechanical aptitude with skills including the ability to concisely describe problems to mechanics.</li><li>Knowledge of cGMP, and aseptic processing, requirements.</li><li>Minimum of 3 years’ experience working with automated production equipment utilizing HMI required. Experience with a supervisory controller and data acquisition system (SCADA) interface will be a plus.</li><li>Experience with isolator-based manufacturing strongly preferred.</li><li>Experience reading and following technical documents such as SOPs, maintenance procedures, electrical drawings, equipment arrangements, piping diagrams, and qualification protocols</li></ul> Skills/Competencies <ul><li>Precise skills for inspecting finished product effectively.</li><li>Demonstrated problem-solving and troubleshooting skills.</li><li>Ability to mentor and train less experienced technicians.</li><li>Excellent attention to detail and documentation accuracy.</li><li>Effective communication and teamwork skills.</li><li>Commitment to safety, quality, and data integrity.</li><li>Comfortable working in cleanroom environments with PPE requirements.</li></ul>

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.</li><li>Meal/Grocery Voucher.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Responsibilities: Planning: <ul><li>Initiate annual EHS training plan &amp; EHS internal audit plan in order to meet the department annual operating plan.</li></ul> Procedures &amp; Document Update: <ul><li>Review &amp; update EHS procedure according to internal &amp; external audit finding.</li><li>Initiate, update and execute EHS policies or procedures according to national laws and regulations or S.A.F.E or Global policies.</li><li>in order to fulfill company EHS system and make work efficient.</li></ul> Safety and Health Management: <ul><li>Submit application to Safety Bureau for Safety and Health Impact Assessment and other required permits or registration in order to meet the requirement of national laws and regulations.</li><li>Conduct Safety Standard Management review and follow in velocity EHS system.</li><li>Coordinate industrial hygiene monitoring, evaluation, medical surveillance in order to prevent occupational disease.</li><li>Maintain SAFE and environment tool with continuous improvement.</li><li>Follow up Incident investigation, correction and Injury Trend Analysis in order to prevent incidents.</li><li>Conduct canteen and dormitory inspection with Admin. to supervise food safety and fire safety,in order to prevent incidents.</li><li>Conduct contractor &amp; supplier EHS management, issuing non-routine high risk task permits, in order to prevent incidents.</li></ul> EHS Projects: <ul><li>Lead and follow up JSA, LOTO, Ergo, Machine Guarding,BBS, Nearhit reporting, PPE management, IH, Environmental and etc.</li><li>Coordinate the Kaizens and other EHS activities, in order to meet SAFE and 5 star requirement and prevent incidents.</li></ul> Audit: <ul><li>Implement routine EHS internal audit and examine;</li><li>Prepare necessary material or data sheet for S.A.F.E ,customer, local government, global audit;in order to ensure meet compliance requirements.</li></ul> Reporting &amp; Training: <ul><li>Prepare Monthly EHS performance report in order to present EHS performance;</li><li>Organize health and safety related training to employee in order to promote the awareness of health and safety.</li></ul> Requirements: Education, Technical Qualification &amp; Experience: <ul><li>Minimum 6+ years of EH&amp;S experience required;</li><li>Possesses a strong grasp of Malaysias EHS laws and regulations and can conduct compliance assessments.</li><li>Autonomous ability in conducting audits and inspections of all aspects of EHS;</li><li>Good reading and writing in English &amp; Chines</li><li>Skilled in leveraging Excel for data analysis, visualization, and tracking key metrics.</li></ul>

Responsibilities: <ul><li>Receive, inspect, and verify incoming materials, components, and supplies against purchase orders and specifications.</li><li>Ensure proper storage of raw materials, packaging components, and controlled substances in compliance with cGMP, DEA, and safety requirements.</li><li>Accurately issue and deliver materials to production areas based on production schedules and work orders.</li><li>Operate warehouse equipment such as forklifts, pallet jacks, and material handling devices in a safe and compliant manner.</li><li>Perform cycle counts, physical inventory counts, and reconciliation of discrepancies in coordination with Inventory Control.</li><li>Maintain warehouse cleanliness, organization, and environmental conditions per site procedures and regulatory requirements.</li><li>Document all material transactions in the inventory management system, ensuring data accuracy and adherence to data integrity principles.</li><li>Prepare shipments of materials, components, or finished products in compliance with applicable regulations, including hazardous material handling requirements.</li><li>Support material sampling activities, including coordination with Quality Control for testing.</li><li>Assist in warehouse procedure creation, updates, and continuous improvement initiatives.</li><li>Ensure DEA security and access control measures are followed for controlled substances.</li><li>Collaborate with Production, Quality, Planning, and Procurement to ensure timely material availability for manufacturing operations</li></ul> Requirements: Qualifications / Experience: <ul><li>High school diploma or equivalent required; Associate’s degree preferred.</li><li>Minimum of 2 years of warehouse or material handling experience in a cGMP-regulated pharmaceutical, biotechnology, or related manufacturing environment.</li><li>Experience handling controlled substances and/or high potent APIs preferred.</li><li>Knowledge of cGMP, DEA, and OSHA requirements for material handling and storage.</li><li>Experience operating forklifts and other warehouse equipment; forklift certification preferred.</li></ul>

Responsibilities: <ul><li>Develop and execute purchase orders for raw materials, packaging components, consumables, and services in accordance with approved supplier lists and site requirements.</li><li>Maintain optimal inventory levels by balancing material availability with cost-effective order quantities.</li><li>Collaborate with Production Planning and Supply Chain to align material purchases with manufacturing schedules.</li><li>Participate and represent the site in the routine S&amp;OP meeting.</li><li>Monitor supplier performance, including on-time delivery, quality, and responsiveness, and drive corrective actions as needed.</li><li>Negotiate pricing, terms, and contracts with suppliers to achieve cost savings and value-added agreements.</li><li>Maintain accurate purchasing and planning data in the ERP system, ensuring alignment with master data and inventory control requirements.</li><li>Identify and qualify alternative suppliers to mitigate supply risks and ensure business continuity.</li><li>Coordinate with Quality Assurance and Quality Control to ensure incoming materials meet specifications and quality standards.</li><li>Support new product introduction by sourcing and securing materials in alignment with project timelines.</li><li>Generate and track Production Orders through release to ensure on time, in full deliveries to customers.</li><li>Track and report key procurement and planning metrics, such as supplier on-time delivery, inventory turns, and purchase price variance.</li><li>Ensure compliance with all cGMP, DEA, and regulatory requirements for the procurement and handling of controlled substances and high potent materials.</li><li>Participate in cross-functional process improvement initiatives to enhance supply chain efficiency and reliability</li></ul> Requirements: Qualifications / Experience: <ul><li>Bachelor’s degree in Supply Chain Management, Business Administration, or related field preferred; equivalent work experience considered.</li><li>Minimum of 3 years of procurement, planning, or supply chain experience in a cGMP-regulated pharmaceutical, biotechnology, or related manufacturing environment.</li><li>Experience with controlled substances, high potent APIs, and regulated material handling preferred.</li><li>Strong knowledge of ERP/MRP systems, purchasing processes, and inventory control principles.</li><li>Familiarity with cGMP, DEA, and FDA requirements related to materials management.</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Description: <ul><li>The Position has been created to lead a team of Mechanical Designers, Electrical Automation Engineers and Technicians of the Operations team to define the process and build the machines needed to make the new products in line with the strategy map and market demand.</li></ul> Responsibilities: <ul><li>Responsible for working with a team of engineers for new project launches. Coordination with different technology leads connected with new projects. Collaborating with ME, OPS, AQE, NPI and PLTL team for execution of all new projects as per agreed APQP timelines.</li><li>Responsible for execution of PLTL projects and adherence to launch sheet requirements.</li><li>End to End responsible for capturing the voice of Customers and All Stakeholder requirements of the product to meet the expectations</li><li>Act as a purposeful bridge between ME and operations.</li><li>Work closely with project management and NPI procurement for capacity and streamlined supplies&nbsp;</li><li>Identify safety, quality and cost saving opportunities on new and existing projects.</li></ul> Requirements: <ul><li>Technical Degree/Diploma in Mechatronics - NTTF/BE</li><li>Hands own experience assembly of machines and troubleshooting</li><li>1 to 4+ years of experience working in medium or large matrix organizations.&nbsp;</li><li>Hands on Experience in designing and building Complex and high precision machines, high accuracy assembly automation machines for Automotive or electronics industries</li><li>Experience in Robot programming.</li><li>Vision inspection and testing machines like leakage testers and electrical testers experience&nbsp;</li><li>PLC and HMI Programming, Servo programming and tuning, and trouble shooting</li><li>Updated knowledge on current Programming Software and Design Software.</li></ul>

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60 cnc controlled grinding machine Jobs found

Data Engineer, Senior

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

Inspection Technician

Senior Machine Learning Engineer

EHS Analyst

Warehouse Technician

Buyer/Planner

Senior AI Engineer

Mechatronics Engineer

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60 cnc controlled grinding machine Jobs found

Data Engineer, Senior

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

Inspection Technician

Senior Machine Learning Engineer

EHS Analyst

Warehouse Technician

Buyer/Planner

Senior AI Engineer

Mechatronics Engineer

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.