Senior / Lead Maintenance Technician

Chemist Data Reviewer

Data Engineer, Senior

Senior Data Engineer

Facilities Supervisor

Senior Data Scientist - Machine Learning

Specification Manager

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

HR Business Partner

Position Summary: <ul><li>The Senior Maintenance Technician will lead maintenance activities in a GMP-regulated pharmaceutical manufacturing environment, ensuring reliable operation of production and facility systems.&nbsp;</li><li>This role focuses on equipment uptime, preventive maintenance, troubleshooting, and continuous improvement of utilities and process equipment—including tablet presses, granulation systems, and HVAC systems supporting cleanroom operations.</li></ul> Responsibilities: <ul><li>Perform and oversee preventive, predictive, and corrective maintenance on pharmaceutical manufacturing and facility equipment.</li><li>Lead troubleshooting and repair efforts on tablet presses, granulators, blenders, fluid bed dryers, coating machines, and other process equipment.</li><li>Maintain and repair facility utilities such as HVAC systems, compressed air, purified water, steam, chilled water, and vacuum systems.</li><li>Support calibration and mechanical integrity programs to ensure GMP compliance.</li><li>Collaborate with Production, Engineering, and Quality departments to minimize downtime and ensure regulatory requirements are met.</li><li>Review and update maintenance SOPs, work orders, and documentation in accordance with cGMP and FDA standards.</li><li>Train and mentor junior technicians and provide technical guidance during shifts or project work.</li><li>Participate in capital projects, equipment installation, and commissioning/qualification activities (IQ/OQ/PQ).</li><li>Identify and implement process improvements to increase reliability and reduce maintenance costs.</li><li>Support environmental monitoring and cleanroom operation standards through proper maintenance of HVAC and filtration systems.</li></ul> Requirements: <ul><li>Associate’s or Bachelor’s degree in Mechanical, Electrical, or Industrial Engineering (or equivalent technical discipline) preferred.</li><li>Experience: Minimum 5–8 years in a maintenance or engineering role within a pharmaceutical, biotech, or GMP manufacturing environment.</li><li>Strong hands-on experience with tablet compression, granulation, and packaging equipment.</li><li>Working knowledge of HVAC systems, cleanroom environments, and associated regulatory requirements (ISO 14644, cGMP).</li><li>Familiarity with CMMS systems (e.g.,, BMRAM, Maximo, SAP PM) and maintenance documentation practices.</li><li>Strong understanding of electrical, mechanical, and pneumatic systems.</li><li>Excellent problem-solving, communication, and leadership skills.</li></ul> Preferred Skills: <ul><li>Knowledge of PLCs and control systems troubleshooting.</li><li>Experience with aseptic or sterile manufacturing utilities.</li><li>Understanding of 21 CFR Part 11 and data integrity principles.</li><li>Root cause analysis and reliability-centered maintenance experience. Key Responsibilities</li></ul>

Job Summary: <ul><li>This position is dedicated to the review, verification, and assessment of analytical data generated within the Quality Control laboratory.&nbsp;</li><li>The role ensures that all laboratory documentation meets cGMP, regulatory, and internal quality standards.&nbsp;</li><li>Responsibilities do not include performing laboratory testing, operating instruments, or releasing materials or products.</li></ul> Responsiblities: <ul><li>Review complete analytical data packages generated from a wide range of QC laboratory instrumentation, including HPLC, UPLC, GC, UV?Vis, FT?IR, Dissolution, X?Ray Diffraction (XRD), pH meters, Karl Fischer, ICP-MS, and other compendial or platform - specific systems.</li><li>Verify calculations, chromatographic integrations, peak assignments, system suitability criteria, and instrument audit trails across software platforms such as Empower, ChemStation, LabSolutions, ICP?MS data systems, and dissolution software.</li><li>Assess data for compliance with approved analytical methods, compendial requirements, SOPs, and cGMP expectations, ensuring consistency across diverse analytical techniques.</li><li>Evaluate raw data outputs such as chromatograms, spectra (UV, IR), dissolution profiles, XRD patterns, elemental analysis reports, pH logs, and mass spectrometry data for accuracy and scientific soundness.</li><li>Identify discrepancies, atypical trends, integration anomalies, missing data, or potential data integrity concerns and escalate findings promptly.</li><li>Confirm that all raw data, worksheets, logbooks, electronic records, and metadata comply with ALCOA+ principles and meet internal documentation standards.</li><li>Review LIMS entries for accuracy, completeness, and proper linkage to supporting raw data and metadata.</li><li>Ensure instrument-specific parameters (e.g., wavelength accuracy for UV, calibration curves for ICP?MS, dissolution run conditions, GC column performance) are appropriately documented and meet acceptance criteria.</li></ul> Requirements: Education &amp; Experience: <ul><li>Minimal acceptable level of education, work experience and certifications required for the job</li><li>Bachelor of Science Degree in chemistry, chemical engineering or related field with 4+ years’ relevant analytical laboratory experience OR</li><li>Master’s Degree in above disciplines with 2+ years’ relevant analytical lab experience</li></ul> Knowledge: <ul><li>Has strong knowledge of laboratory software and has expanded knowledge of chromatographic software (e.g. Waters Empower, Agilent ChemStation and Sotax WinSotax), using custom fields, custom calculations and custom reports</li><li>Full proficiency with various laboratory techniques/instruments: HPLC, UV-Vis, FT-IR, GC and dissolution tester, melting point apparatus, viscometer, Karl Fischer titrator, pH meter, analytical balance, etc.</li><li>Thorough knowledge of applicable safety and standards guidelines, such as SOP, cGMP, GLP, DEA regulations and/or MSDS</li><li>Has demonstrated competence in conducting chemical analyses</li><li>Strong knowledge of wet chemistry techniques</li><li>Competency in Microsoft Office Suite</li></ul> Skills &amp; Abilities: <ul><li>Ability to critically review and analyze data, interpret information, and draw conclusions from relevant or missing information, reporting to management</li><li>Ability to display and analyze data in a logical manner</li><li>Ability to critically review, analyze data, interpret information, and draw conclusions from relevant or missing information</li><li>Ability to display and analyze data in a logical manner</li><li>Strong verbal and written communication skills as well as good computer skills</li><li>Strong 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 coach less senior staff and develop laboratory skills and ability</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.&nbsp;</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>

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: Data Infrastructure:&nbsp; <ul><li>Prepares data infrastructure to support the efficient storage and retrieval of data.</li></ul> Data Formats:&nbsp; <ul><li>Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li></ul> Data &amp; Analytical Solutions:&nbsp;&nbsp; <ul><li>Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li></ul> Data Pipelines:&nbsp;&nbsp; <ul><li>Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li></ul> Data Systems:&nbsp;&nbsp; <ul><li>Reviews existing data systems and architectures to identify areas for improvement and optimization.</li></ul> Stakeholder Management: <ul><li>Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li></ul> Data Frameworks:&nbsp; <ul><li>Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li></ul> Automated Deployment Pipelines:&nbsp;&nbsp; <ul><li>Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li></ul> Data Modeling:&nbsp;&nbsp; <ul><li>Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.</li></ul>

Responsibilities : <ul><li>Supervise day-to-day facility operations, including building, equipment, utilities ,and grounds maintenance.&nbsp;</li><li>Manage preventive and corrective maintenance programs to minimize downtime and ensure safety.&nbsp;</li><li>Oversee contractors, vendors, and service providers to ensure quality, cost effectiveness, and compliance with standards.&nbsp;</li><li>Ensure facilities comply with local regulations, EHS standards, and corporate sustainability goals.&nbsp;</li><li>Support plant operations by ensuring reliable supply of utilities such as electricity ,water, compressed air, and HVAC systems.&nbsp;</li><li>Lead and develop a team of technicians to drive efficiency, safety, and continuous improvement.&nbsp;</li><li>Prepare and monitor facility budgets, expenses, and project timelines.&nbsp;</li><li>Manage emergency response plans and support safety initiatives across the site.&nbsp;</li><li>Drive facility improvement projects, including space planning, energy efficiency, and workplace optimization.</li></ul> Requirements: <ul><li>Diploma/Degree in Mechanical, Electrical, Facilities Management, or related field.&nbsp;</li><li>Minimum 5 years of facilities management/maintenance experience, preferably in a manufacturing environment.&nbsp;</li><li>Strong knowledge of EHS compliance, building systems, utilities, and facility operations.&nbsp;</li><li>Proven experience supervising teams and managing external contractors/vendors.&nbsp;</li><li>Strong problem-solving, organizational, and project management skills.&nbsp;</li><li>Good communication skills in English and Bahasa Malaysia.</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>

Responsibilities: Pacific Region Specification Activity management <ul><li>Identify upcoming projects in the market</li><li>Reach and influence decision makers involved in those projects to specify the technical features of our products</li><li>Follow-up on the project in its different stages (specification, pricing &amp; budget, order, supply chain, etc).</li><li>Completion of specification sheets</li><li>Provide technical support and training during prescription seminars and fairs</li></ul> Business Development &amp; Specification for Project Business <ul><li>Create and/or update a regional map of stakeholders in the area (consultants, contractors, end users, distributors, etc) and their market focus (industry, IT, etc)</li><li>Work as a hunter, to generate and follow-up on leads, to boost the project pipeline and create interest</li><li>Be involved and supportive in the pre-sales phases (compliance, technical comparison, BOQ creation, counter objections, etc.)</li></ul> Support Specification Marketing actions &amp; tools <ul><li>Support product launches</li><li>Participate in marketing actions</li><li>Assist with market data pricing analysis</li><li>Platforming of accounts and account management planning</li></ul> Performance plan and KPI’s <ul><li>Identify spec-in action plans, target and flag corresponding accounts in SalesForce</li><li>Link opportunities to the selected action plans&nbsp;and the corresponding data</li><li>Update and follow KPI’s for specification effort</li></ul> Requirements:&nbsp;<ul><li>Degree in Engineering and/or a strong electrical trade background in the commercial or industrial space</li><li>Minimum of 2 years of professional experience in specifying in the electrical engineering industry</li><li>Good understanding of low voltage distribution &amp; applications</li><li>Demonstrates substantial experience within the electrical low voltage market, complemented by a well-established local network that includes panel builders, M&amp;E consultants, electrical contractors and end users.</li><li>Prioritises product offer specification, working closely with consultants and large end users, with a particular emphasis on the Data Centre (DTC) segment.</li><li>Acts as a highly strategic, commercially driven sales leader, with a proven knowledge and history of success in the Pacific DTC segment.</li><li>Possesses a robust technical background, especially in critical power systems, which is essential for the role.</li><li>Is capable of leveraging key contacts and decision makers to benefit the organization.</li><li>Effectively operates in a matrix environment, collaborating with local PCO and PSM sales and technical engineering leads, as well as the regional key account team, to strengthen the company’s presence and install base in the Pacific.</li><li>Additionally, works closely with our Pacific (PSM Partner) to develop a comprehensive offer strategy</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust, scalable, and secure web applications.</li><li>Utilize Object-Oriented design principles and best practices to ensure high-quality software.</li><li>Write clean, efficient, and well-documented code in C# with both .NET Core and .NET Framework.</li><li>Ensure adherence to Web Standards (XML, JSON, HTML, CSS, APIs, Web Services).</li><li>Create and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps.</li><li>Automate repetitive tasks in the software development lifecycle, including builds, testing, and deployments.</li><li>Configure and maintain infrastructure for CI/CD pipelines, including servers and containerized environments.</li><li>Leverage cloud platforms like AWS, Azure, or GCP for scalable infrastructure and application management.</li><li>Incorporate DevOps principles to foster collaboration between development and operations teams.</li><li>Integrate unit testing frameworks (e.g., NUnit) into pipelines to ensure robust software quality.</li><li>Utilize test-driven development practices to enhance software reliability.</li><li>Work closely with developers, QA engineers, and operations teams to streamline workflows and address feedback.</li><li>Demonstrate strong communication skills to present ideas, solutions, and progress effectively.</li><li>Monitor CI/CD pipeline execution and troubleshoot issues promptly to minimize downtime.</li></ul> Requirements: <ul><li>Demonstrated knowledge of software application development (certifications and experience considered in lieu of a degree).</li><li>6+ years of experience in software development using C# and .NET.</li><li>5+ years of experience in developing .NET applications, including .NET Core and .NET Framework.</li><li>Proven experience in building enterprise-level web applications.</li><li>Strong background in Object-Oriented design and development.</li><li>Advanced JavaScript experience, including closures and prototype inheritance.</li><li>Proficiency in SQL (DDL and DML) and experience managing database structures.</li><li>Solid understanding of Web Standards (XML, JSON, HTML, CSS, APIs, Web Services).</li><li>Demonstrated use and knowledge of design patterns and cloud-native technologies.</li><li>Experience with Agile methodologies and iterative development processes.</li><li>Proficiency in CI/CD tools such as Jenkins, GitLab CI, Azure DevOps, or AWS Code Pipeline is required.</li></ul> Preferred work experience and skills: <ul><li>Strong proficiency in C#, JavaScript, and scripting languages like Bash, Python, or PowerShell for task automation.</li><li>Expertise in popular CI/CD platforms like Jenkins, GitLab CI, Azure DevOps, or AWS Code Pipeline.</li><li>Deep understanding of Git and branching strategies for effective code management.</li><li>Familiarity with unit testing frameworks like Unit, JUnit to integrate automated testing into pipelines.</li><li>Knowledge of cloud platforms like AWS, Azure, or GCP for scalable infrastructure management.</li><li>Familiarity with containerized environments (e.g., Docker, Kubernetes) and microservices architecture.</li><li>Exceptional problem-solving and analytical skills.</li><li>Strong communication and collaboration abilities.</li><li>Self-motivated and able to work independently with minimal supervision.</li><li>Detail-oriented with excellent organizational skills.</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: Workforce Data Management <ul><li>Maintain accurate workforce data and analytics to support strategic decision-making.</li><li>Develop and maintain HR dashboards and reports for headcount, attrition, and talent metrics.</li><li>Ensure data integrity across HR systems and processes.</li></ul> HR Compliance &amp; Audit Readiness <ul><li>Monitor adherence to labor laws, company policies, and regulatory requirements.</li><li>Prepare documentation and evidence for internal and external audits and implement corrective actions and continuous improvement.</li><li>Update and maintain HR risk management processes, addressing both compliance and ethics-related risks.</li></ul> Policy Creation &amp; Implementation <ul><li>Draft, review, and update HR policies aligned with organizational goals, company values, audit findings, and legal standards.</li><li>Communicate policy changes effectively to stakeholders.</li></ul> Talent Development <ul><li>Partner with leadership to identify skill gaps and create development plans, especially in Quality, and Central Operations team.&nbsp;</li><li>Support training initiatives and continuous improvement programs.</li><li>Track and report progress on talent development programs.</li></ul> Strategic HR Support <ul><li>Provide HRBP support to the Central Operations team, and drive initiatives in talent development, engagement, employee relations, retention, as well as coordination with Talent Acquisition to fulfill manpower requirements.</li></ul> Requirements: <ul><li>Bachelor’s degree in Behavioral Sciences or a related field.&nbsp;</li><li>Minimum of 10 years of experience in HR as a generalist, with strong exposure to Talent Development, Employee Relations, Compliance, and Data/People Analytics.&nbsp;</li><li>Experience in Manufacturing industry&nbsp;</li><li>Demonstrated ability to drive impactful talent development programs aligned with business goals</li><li>Knowledge of Philippine Labor Law and its practical application in HR processes.</li><li>Proven knowledge of strategic HR business partnering and ability to align HR initiatives with business objectives.&nbsp;</li><li>Strong analytical and critical thinking skills and attention to detail&nbsp;</li><li>Good business acumen, with reliability and resilience in a dynamic environment.&nbsp;</li><li>High integrity and commitment to ethical practices.</li></ul>

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81 water well Jobs found

Senior / Lead Maintenance Technician

Chemist Data Reviewer

Data Engineer, Senior

Senior Data Engineer

Facilities Supervisor

Senior Data Scientist - Machine Learning

Specification Manager

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

HR Business Partner

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81 water well Jobs found

Senior / Lead Maintenance Technician

Chemist Data Reviewer

Data Engineer, Senior

Senior Data Engineer

Facilities Supervisor

Senior Data Scientist - Machine Learning

Specification Manager

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

HR Business Partner

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

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