Lead or support equipment selection and new equipment introduction: define statement of purpose/requirements, work with suppliers and stakeholders to develop process algorithms, machine hardware, and software from buy-off through release to manufacturing.
Collaborate with design engineering and contract manufacturing teams to execute, improve, and sustain manufacturing processes; ensure design for manufacturing (DFM) guidelines are met.
Collaborate with the quality team for planning and execution of qualification, reliability, and burn-in testing in support of new product introduction and process changes.
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Perform routine microbiological sampling; for environmental and personnel monitoring in a clean room environment.
Prepare, verify and transfer materials/components used in aseptic filling. Execute activities in support of validations associated with cleaning and aseptic filling.
Assist in investigation of process deviations and work in a team to identify and work on opportunities for productivity/process improvements.
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We are seeking an experienced Production Support Analyst with strong expertise in Banking Payments Systems and production support operations. The ideal candidate will be responsible for monitoring, troubleshooting, and resolving production incidents while ensuring high system availability and service reliability for critical payment applications.
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Perform routine microbiological sampling; for environmental and personnel monitoring in a clean room environment.
Prepare, verify and transfer materials/components used in aseptic filling. Execute activities in support of validations associated with cleaning and aseptic filling.
Assist in investigation of process deviations and work in a team to identify and work on opportunities for productivity/process improvements.
...
Lead or support equipment selection and new equipment introduction: define statement of purpose/requirements, work with suppliers and stakeholders to develop process algorithms, machine hardware, and software from buy-off through release to manufacturing.
Collaborate with design engineering and contract manufacturing teams to execute, improve, and sustain manufacturing processes; ensure design for manufacturing (DFM) guidelines are met.
Collaborate with the quality team for planning and execution of qualification, reliability, and burn-in testing in support of new product introduction and process changes.
...
Conduct daily hygiene and food safety inspections as per SFA regulations, including checks on cleaning, sanitation and pest control ready for audit checks
Work closely with production teams to Perform quality checks with compliance of SOPs/standards.
Relevant Knowledge/Experience in food production line
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Good knowledge in Big Data Experience - Hadoop ecosystem (HDFS, Hive, HBase, PySpark) & technologies
Experience in actual systems development work, with prior coding, functional and technical specifications, systems development and testing experience Tools - JIRA, Confluence, MS Project, Excel, Visio
Good understanding and experience in software development cycle (SDLC)
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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