Production Cleaning Specialist Jobs

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: We are seeking an entry-level Production Cleaning Specialist to support daily maintenance and cleaning activities throughout our facility. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Casa Grande, Arizona location in the Abbott Nutrition division. Our Nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow to keeping adult bodies

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Production Operator - RPB - Day Shift – Casa Grande, AZ We are seeking an entry-level Production Cleaning Specialist to support daily maintenance and cleaning activities throughout our facility. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Casa Grande, Arizona location in the Abbott Nutrition division. Our Nutrition busine

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Specialist, Market Operations, you'll provide frontline operational support across two exchanges: the Coinbase Derivatives Exchange (CDE) and Deribit. This team runs 24/7, keeping trading, clearing, and connectivity systems healthy for clients and internal stakeholders. You'll troubleshoot issues in real time, coordinate cross-functional resolution for complex problems, and execute deployment testing to protect production environments. What you'll do: Own real-time functional and technical support for electronic trading, clearing systems, and exchange applications across CDE and Deribit. Investigate and resolve customer inquiries related to exchange functionality, market events, connectivity, product schedules, and business technology. Provide front-line support for internal and external investigations tied to exchange operations, including error trade analysis and resolution. Coordinate with product and development teams to launch new products, implement platform updates, and execute deployment testing in pre-production environments. Support onboarding and ongoing operational enablement of clients and vendors across both exchanges, including prediction markets and event contracts listed on CDE. Identify, document, and recommend operational process improvements aligned with business objectives and platform growth. Required Skills and Experience: BA/BS in Informa

Job description CREMER SUSTAINABLE FOODS PTE LTD is hiring full-time Production/General Workers in Singapore for their food manufacturing operations. Responsibilities include operating machinery, cleaning equipment, labelling, packing, and ensuring workplace safety and hygiene. Candidates should have experience in food manufacturing and be motivated to work independently. A motorbike is required for shift travel. The salary ranges from SGD 1.5K to SGD 2K per month. Production workers / General workers Cremer Sustainable · Full time · Location : Tuas West Drive · Various positions Company Overview Peter Cremer (S) GmbH is a family-owned, German-headquartered company that specializes in the international trading, as well as production in various industries including food and agriculture. As a strong and lively family business, we believe that the well-being of our employees is just as important to us as their professional development. Attaining a good work-life balance remains as our priority, along with ensuring a flat hierarchy. As such, we strive for a pleasant working environment and through internationality, people from many nations often come together at CREMER. Here at the Sustainable Nutrition department, we are focused on providing B2B contract manufacturing services for industry-leading clients. With a comprehensive production footprint covering North America, Europe as well as Asia, we are able to meet clients’ varying extrusion and finished products needs, across multiple geographical regions. CREMER Sustainable Foods is a leading innovator in the plant-based food industry, dedicated to creating delicious and sustainable alternatives to traditional animal-based products. We are committed to making a positive impact on the environment and promoting healthier lifestyles through our range of plant-basedofferings Join a fast-growing leading innovator in the plant-based food industry! Job Description different positions will have different job scope and respons

Work Flexibility: Onsite Schedule: Monday - Friday 5:00am-1:30pm, OT as needed Position Summary: The Production Tech I position is responsible for issuing materials to manufacturing orders; packaging operations including blister packaging, pouch sealing, cartooning and shrink wrapping; and making and checking labels, as well as operating digital scales and cleaning various components/products. This position could either focus in SJO, Biologics, Augment, or Xerogel operations. Essential Duties & Responsibilities Issues materials to manufacturing orders. Performs packaging operations (blister, pouch, carton, shrink wrap). Makes labels. Fills out routers correctly in Device History Record Management. Performs all preventive maintenance on time. Operating miele washer and cleaning components. Operate digital scales. Data entry - correctly entering required production data into systems for business purposes. Perform daily, weekly, monthly, quarterly, and annual cleanings as required. Participate in daily management activities. Maintains a dependable work schedule through regular attendance and punctuality. Demonstrates flexibil

Work Flexibility: Onsite Schedule: Monday - Friday 5:00am-1:30pm, OT as neede Position Summary: The Production Tech I position is responsible for issuing materials to manufacturing orders; packaging operations including blister packaging, pouch sealing, cartooning and shrink wrapping; and making and checking labels, as well as operating digital scales and cleaning various components/products. This position could either focus in SJO, Biologics, Augment, or Xerogel operations. Essential Duties & Responsibilities Issues materials to manufacturing orders. Performs packaging operations (blister, pouch, carton, shrink wrap). Makes labels. Fills out routers correctly in Device History Record Management. Performs all preventive maintenance on time. Operating miele washer and cleaning components. Operate digital scales. Data entry - correctly entering required production data into systems for business purposes. Perform daily, weekly, monthly, quarterly, and annual cleanings as required. Participate in daily management activities. Maintains a dependable work schedule through regular attendance and punctuality. Demonstrates flexibility by adjusting work hours and working overtime when necessary to support organizational priorities and ensure successful completion of business objectives. Preferred Qualifications & Experience: High school or GED Preferred 1 year manufacturing experience Preferred Physical & Mental Requirements: May involve prolonged periods of sitting or standing, as appropriate. May be required to reach, push, or pull to accomplish job accountabilities. Requires the use of safety glasses in designated areas.

Work Flexibility: Onsite Schedule: Monday - Friday 5:00am-1:30pm, OT as neede Position Summary: The Production Tech I position is responsible for issuing materials to manufacturing orders; packaging operations including blister packaging, pouch sealing, cartooning and shrink wrapping; and making and checking labels, as well as operating digital scales and cleaning various components/products. This position could either focus in SJO, Biologics, Augment, or Xerogel operations. Essential Duties & Responsibilities Issues materials to manufacturing orders. Performs packaging operations (blister, pouch, carton, shrink wrap). Makes labels. Fills out routers correctly in Device History Record Management. Performs all preventive maintenance on time. Operating miele washer and cleaning components. Operate digital scales. Data entry - correctly entering required production data into systems for business purposes. Perform daily, weekly, monthly, quarterly, and annual cleanings as required. Participate in daily management activities. Maintains a dependable work schedule through regular attendance and punctuality. Demonstrates flexibility by

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native:

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Job Summary - To manage travel and expense reimbursement of employees in an organization and ensure timely payments of all expense claims. Key responsibilities - Educate employees about travel program policies and correct procedures. Verification of T&E Expense claims in Macanomy. Reconciliation and Clearing of T&E GL accounts and month end accrual reports. Posting of Macanomy claims and preparing Reconciliation file and sharing with the Payment team. Employee profile creation and Modifications. Service now tool query handling. Monitoring generic mailbox and follow up with employees. Amex reconciliation file and sending inputs to process payments as per deadlines. Monitoring Generic Mailbox. Report generation and Allocation within the team on daily basis. Skills/Experience Minimum 4-6 years of experience in Travel & Expense – Accounts Payable. Bcom Graduate. Should be an experienced problem solver with excellent written and verbal communication skills. Flexible attitude to achieve results. Excell

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer - Java Are you an experienced software engineer who enjoys solving complex technical challenges and helping others build better solutions? As a Lead Software Engineer, you will design, build, and operate secure, scalable, and resilient technology that supports important payment services. You will combine hands-on development with technical leadership and work closely with teams across product, operations, architecture, infrastructure, risk, and customer-facing functions. Mastercard Payment Services: In Mastercard Payment Services, you will contribute to critical European payment clearing and settlement services. This includes real-time and batch clearing, instant payments, participant-facing services, liquidity and settlement capabilities, reporting, and related payment infrastructure. You will help ensure these services are reliable, secure, and resilient by applying strong engineering practices, automation, production ownership, and continuous improvement. What you will do: • Design, build, integrate, and improve secure, scalable applications and services. • Take ownership of complex service issues and coordinate resolution across teams. • Work with product partners and stakeholders on priorities, trade-offs, and technical roadmaps. • Improve delivery quality through a

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer - Java Are you an experienced software engineer who enjoys solving complex technical challenges and helping others build better solutions? As a Lead Software Engineer, you will design, build, and operate secure, scalable, and resilient technology that supports important payment services. You will combine hands-on development with technical leadership and work closely with teams across product, operations, architecture, infrastructure, risk, and customer-facing functions. Mastercard Payment Services: In Mastercard Payment Services, you will contribute to critical European payment clearing and settlement services. This includes real-time and batch clearing, instant payments, participant-facing services, liquidity and settlement capabilities, reporting, and related payment infrastructure. You will help ensure these services are reliable, secure, and resilient by applying strong engineering practices, automation, production ownership, and continuous improvement. What you will do: • Design, build, integrate, and improve secure, scalable applications and services. • Take ownership of complex service issues and coordinate resolution across teams. • Work with product partners and stakeholders on priorities, trade-offs, and technical roadmaps. • Improve delivery quality through a

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. To assist the Building Manage r to perform his/her role and responsibilities as stated above. The Property Executive will be at the front line of building management and working closely with the term contractors regarding all soft and hard services (where applicable) including Security, Cleaning, Pest Control, Landscape, Air-Conditioning and Mechanical Ventilation Systems, Electrical supply and installations, Plumbing & Sanitary, Building Management System, Fire Protection System, Lifts and other critical equipment to ensure smooth and seamless operations of the facility. In charge of managing the day-to-day operations of the building. Manage all facilities preventative and corrective maintenance programs, including scope of work, specifications, management of vendors, and quality assessments Oversee the smooth running of building and other facilities as required. Manage emergency and ad-hoc repairs, breakdowns and trouble-shooting Ensure to perform routine inspections within buildings, equipment, and systems to identify any issues. Report to Building Manager and Employer for any faults and defects found during routine inspection. Maintain p