document controller

Process Discovery & Mapping: Lead workshops/interviews to document end‑to‑end workflows for each department; produce flowcharts/swimlanes showing inputs, outputs, roles, handoffs, and controls. Requirements Gathering: Translate business needs into clear process requirements, acceptance criteria, and change requests. Data & Metrics: Define process KPIs (cycle time, throughput, rework, defects, OTIF, assay turn‑around, etc.); build simple dashboards and track performance. Gap & Root‑Cause Analysis: Identify bottlenecks, waste, and risks using techniques like SIPOC, value‑stream mapping, 5‑Whys, and Pareto analysis; recommend fixes. SOP & Policy Development: Draft, standardize, and version‑control SOPs, work instructions, and policies; ensure they reflect actual practice and regulatory needs. Controls & Compliance: Embed quality, safety, and security controls in processes; align with relevant standards (e.g., ISO 9001/14001/45001, chain‑of‑custody). Change Management: Prepare impact assessments, RACI charts, implementation plans, and cutover checklists; support pilots and phased rollouts. Stakeholder Coordination: Bridge operations, quality, finance, HR, IT, and logistics to align timelines, dependencies, and responsibilities. Tooling & Automation Support: Recommend process‑enablement tools (workflow, forms, document control); work with IT to configure or automate steps. Training & Enablement: Create process diagrams, SOP packs, and quick‑reference guides; conduct training and certify process adherence. Audit & Continuous Improvement: Run periodic process reviews and audits; maintain a living process repository and improvement backlog. Confidentiality & Data Protection: Handle all documentation and process data with strict confidentiality and access controls.

Machine Learning Operations (ML/Ops) Engineer - Team Lead Location / Work Setup: Remote About Us: We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client's ML infrastructure. Key Responsibilities: Lead a team of ML/Ops engineers in deploying and managing Machine Learning models. Build and enhance capabilities to seamlessly integrate ML models into existing pipelines. Collaborate with cross-functional teams to understand project requirements and ensure successful deployment. Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency. Utilize Python for scripting and automation tasks. Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows. Requirements For Team Lead Position: At least 3 years of experience in ML/Ops or a related field. Proven leadership skills with the ability to guide and inspire a team. Excellent communication skills to effectively liaise with clients and internal teams. For ML/Ops Engineer Position: Strong experience in deploying Machine Learning models. Proficiency in Python for scripting and automation. Hands-on experience with Cloud platforms, particularly Azure and GCP. Prior experience in addressing scalability and pricing concerns in ML operations. How to Apply: If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations. Note: This is a unique opportunity to make a significant impact on a client's ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.

Process Discovery & Mapping: Lead workshops/interviews to document end‑to‑end workflows for each department; produce flowcharts/swimlanes showing inputs, outputs, roles, handoffs, and controls. Requirements Gathering: Translate business needs into clear process requirements, acceptance criteria, and change requests. Data & Metrics: Define process KPIs (cycle time, throughput, rework, defects, OTIF, assay turn‑around, etc.); build simple dashboards and track performance. Gap & Root‑Cause Analysis: Identify bottlenecks, waste, and risks using techniques like SIPOC, value‑stream mapping, 5‑Whys, and Pareto analysis; recommend fixes. SOP & Policy Development: Draft, standardize, and version‑control SOPs, work instructions, and policies; ensure they reflect actual practice and regulatory needs. Controls & Compliance: Embed quality, safety, and security controls in processes; align with relevant standards (e.g., ISO 9001/14001/45001, chain‑of‑custody). Change Management: Prepare impact assessments, RACI charts, implementation plans, and cutover checklists; support pilots and phased rollouts. Stakeholder Coordination: Bridge operations, quality, finance, HR, IT, and logistics to align timelines, dependencies, and responsibilities. Tooling & Automation Support: Recommend process‑enablement tools (workflow, forms, document control); work with IT to configure or automate steps. Training & Enablement: Create process diagrams, SOP packs, and quick‑reference guides; conduct training and certify process adherence. Audit & Continuous Improvement: Run periodic process reviews and audits; maintain a living process repository and improvement backlog. Confidentiality & Data Protection: Handle all documentation and process data with strict confidentiality and access controls.

Machine Learning Operations (ML/Ops) Engineer - Team Lead Location / Work Setup: Remote About Us: We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client's ML infrastructure. Key Responsibilities: Lead a team of ML/Ops engineers in deploying and managing Machine Learning models. Build and enhance capabilities to seamlessly integrate ML models into existing pipelines. Collaborate with cross-functional teams to understand project requirements and ensure successful deployment. Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency. Utilize Python for scripting and automation tasks. Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows. Requirements For Team Lead Position: At least 3 years of experience in ML/Ops or a related field. Proven leadership skills with the ability to guide and inspire a team. Excellent communication skills to effectively liaise with clients and internal teams. For ML/Ops Engineer Position: Strong experience in deploying Machine Learning models. Proficiency in Python for scripting and automation. Hands-on experience with Cloud platforms, particularly Azure and GCP. Prior experience in addressing scalability and pricing concerns in ML operations. How to Apply: If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations. Note: This is a unique opportunity to make a significant impact on a client's ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.

We are looking for a focused data entry clerk to continuously update our company's databases. The data entry clerk will liaise with and follow up with employees within the company as well as with customers to collect information. Data Entry Clerk Responsibilities: Gathering invoices, statements, reports, personal details, documents and information from employees, other departments and clients. Scanning through information to identify pertinent information. Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing. Creating accurate spreadsheets. Entering and updating information into relevant databases. Ensuring data is backed up. Send CV TO WhatsApp : 0545943508

Join BlackStone eIT as a Technical Project Manager and become a key player in transforming complex technical concepts into successful project outcomes. In this pivotal role, you will oversee the planning, execution, and delivery of projects, ensuring alignment with our strategic objectives and delivering value to our clients. Your technical acumen and project management expertise will be essential in guiding teams through product development processes and addressing challenges along the way. By fostering effective communication between stakeholders and project teams, you will drive projects to completion on time and within budget. Responsibilities: Develop comprehensive project plans and specify project scope, goals, deliverables, and deliverable timelines. Lead cross-functional project teams to ensure alignment and effective execution of project goals. Monitor and report on progress of projects, addressing any issues or risks that arise during execution. Manage relationships with clients and stakeholders, ensuring their needs and expectations are met. Implement best practices and methodologies for project management, ensuring adherence to defined processes. Facilitate meetings and status updates to promote transparency and effective communication among teams. Oversee project budgets, resource allocation, and scheduling to maximize efficiency. Act as the point of contact for all project-related communications. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. A minimum of 3-5 years of experience in project management, especially in the technology sector. Proficient in project management methodologies such as Agile, Scrum, or Waterfall. Strong understanding of technical concepts related to software development and IT infrastructure. Exceptional leadership, communication, and interpersonal skills, with the ability to motivate teams. Solid analytical and problem-solving skills, with attention to detail. Ability to manage multiple projects and prioritize effectively in a fast-paced environment. Experience with project management tools (e.g., JIRA, Asana, Trello) is desirable. PMP or equivalent certification is a plus. Benefits Paid Time Off Performance Bonus Training & Development