300 Reliability Manager jobs in Pakistan

Engineering Manager, AI Reliability

Rocket Lab

Posted 4 days ago

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Job Description

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:

We’re looking for an experienced and impact-driven Engineering Manager to lead a newly formed team focused on the reliability, robustness, and performance of our AI features and services. This team will play a critical role in ensuring our AI-powered features operate with high precision and consistency in production environments.

You will be responsible for building and growing a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out the long tail of failures and corner cases across our AI stack. You’ll partner closely with applied AI teams, product engineering, QA, customer success, and customer support to close the loop between real-world usage and in-field behavior and the performance of our AI systems.

Responsibilities:

  • Build, manage, and mentor a high-performing engineering team focused on AI system reliability.
  • Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production.
  • Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases.
  • Drive cross-functional initiatives to improve monitoring, observability, and data quality.
  • Oversee data analysis, annotation processes, and AI system workflows to improve model performance.
  • Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
  • Monitor key AI performance metrics and implement strategies for optimization.
  • Champion a culture of ownership, rigor, and continuous learning within the team.
  • Actively coordinate and share data insights with the research groups within Motive to improve product and customer experience.

What We’re Looking For:

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal-opportunity employer and welcome people of different backgrounds, experiences, abilities, and perspectives.

Requirements:

  • 2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems.
  • Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation.
  • Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
  • Strong analytical mindset and ability to dig deep into data to uncover insights.
  • Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers.
  • Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
  • Proficiency in Python and SQL for data processing and reporting.
  • Flexible to work across PK - US time zones

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here .

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote

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Engineering Manager, AI Reliability

Motive

Posted 13 days ago

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Job Description

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Who We Are

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Who We Are

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About The Role

We’re looking for an experienced and impact-driven Engineering Manager to lead a newly formed team focused on the reliability, robustness, and performance of our AI features and services. This team will play a critical role in ensuring our AI-powered features operate with high precision and consistency in production environments.

You will be responsible for building and growing a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out the long tail of failures and corner cases across our AI stack. You’ll partner closely with applied AI teams, product engineering, QA, customer success, and customer support to close the loop between real-world usage and in-field behavior and the performance of our AI systems.

Responsibilities

  • Build, manage, and mentor a high-performing engineering team focused on AI system reliability.
  • Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production.
  • Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases.
  • Drive cross-functional initiatives to improve monitoring, observability, and data quality.
  • Oversee data analysis, annotation processes, and AI system workflows to improve model performance.
  • Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
  • Monitor key AI performance metrics and implement strategies for optimization.
  • Champion a culture of ownership, rigor, and continuous learning within the team.
  • Actively coordinate and share data insights with the research groups within Motive to improve product and customer experience.

Requirements

  • 2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems.
  • Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation.
  • Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
  • Strong analytical mindset and ability to dig deep into data to uncover insights.
  • Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers.
  • Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
  • Proficiency in Python and SQL for data processing and reporting.
  • Flexible to work across PK - US time zones

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology
  • Industries IT Services and IT Consulting, Technology, Information and Internet, and Truck Transportation

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Sign in to set job alerts for “Engineering Manager” roles. Manager Technical Services (Mashreq Global Network Pakistan) Senior Technical Product Manager (100% remote - Pakistan) Product Manager - Wholesale Islamic Banking (Mashreq Global Network Pakistan) Technical Project Manager (100% Remote - Pakistan) Principal Product Manager, Trilogy (Remote) - $200,000/year USD

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Engineering Manager, AI Reliability

Karachi, Sindh Rocket Lab

Posted 5 days ago

Job Viewed

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Job Description

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit

gomotive.com

to learn more. About the Role: We’re looking for an experienced and impact-driven Engineering Manager to lead a newly formed team focused on the reliability, robustness, and performance of our AI features and services. This team will play a critical role in ensuring our AI-powered features operate with high precision and consistency in production environments. You will be responsible for building and growing a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out the long tail of failures and corner cases across our AI stack. You’ll partner closely with applied AI teams, product engineering, QA, customer success, and customer support to close the loop between real-world usage and in-field behavior and the performance of our AI systems. Responsibilities: Build, manage, and mentor a high-performing engineering team focused on AI system reliability. Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production. Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases. Drive cross-functional initiatives to improve monitoring, observability, and data quality. Oversee data analysis, annotation processes, and AI system workflows to improve model performance. Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency. Monitor key AI performance metrics and implement strategies for optimization. Champion a culture of ownership, rigor, and continuous learning within the team. Actively coordinate and share data insights with the research groups within Motive to improve product and customer experience. What We’re Looking For: Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal-opportunity employer and welcome people of different backgrounds, experiences, abilities, and perspectives. Requirements: 2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems. Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation. Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems. Strong analytical mindset and ability to dig deep into data to uncover insights. Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers. Excellent communication and leadership skills; ability to drive clarity in ambiguous environments. Proficiency in Python and SQL for data processing and reporting. Flexible to work across PK - US time zones Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice

here . UK Candidate Privacy Notice

here . The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.

It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. #LI-Remote

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Engineering Manager, AI Reliability

Karachi, Sindh Motive

Posted 13 days ago

Job Viewed

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Job Description

Join to apply for the

Engineering Manager, AI Reliability

role at

Motive Join to apply for the

Engineering Manager, AI Reliability

role at

Motive Get AI-powered advice on this job and more exclusive features. Who We Are

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Who We Are

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About The Role

We’re looking for an experienced and impact-driven Engineering Manager to lead a newly formed team focused on the reliability, robustness, and performance of our AI features and services. This team will play a critical role in ensuring our AI-powered features operate with high precision and consistency in production environments.

You will be responsible for building and growing a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out the long tail of failures and corner cases across our AI stack. You’ll partner closely with applied AI teams, product engineering, QA, customer success, and customer support to close the loop between real-world usage and in-field behavior and the performance of our AI systems.

Responsibilities

Build, manage, and mentor a high-performing engineering team focused on AI system reliability. Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production. Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases. Drive cross-functional initiatives to improve monitoring, observability, and data quality. Oversee data analysis, annotation processes, and AI system workflows to improve model performance. Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency. Monitor key AI performance metrics and implement strategies for optimization. Champion a culture of ownership, rigor, and continuous learning within the team. Actively coordinate and share data insights with the research groups within Motive to improve product and customer experience.

Requirements

2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems. Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation. Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems. Strong analytical mindset and ability to dig deep into data to uncover insights. Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers. Excellent communication and leadership skills; ability to drive clarity in ambiguous environments. Proficiency in Python and SQL for data processing and reporting. Flexible to work across PK - US time zones

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries IT Services and IT Consulting, Technology, Information and Internet, and Truck Transportation Referrals increase your chances of interviewing at Motive by 2x Sign in to set job alerts for “Engineering Manager” roles.

Manager Technical Services (Mashreq Global Network Pakistan)

Senior Technical Product Manager (100% remote - Pakistan)

Product Manager - Wholesale Islamic Banking (Mashreq Global Network Pakistan)

Technical Project Manager (100% Remote - Pakistan)

Principal Product Manager, Trilogy (Remote) - $200,000/year USD

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Maintenance Manager

Lahore, Punjab Hkb Enterprises

Posted 3 days ago

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Job Description

Maintenance & troubleshooting of Electrical networks LT & HT power and control panels.
Maintenance of all kinds of Electrical equipment and pumps & motors (3 phase and single phase).
Maintenance of all kinds of lights (2000W, 1000W, 400W, etc.).
Maintenance & troubleshooting for handling main exchange i.e. Hipath Siemens 4000. Installation,
commissioning, maintenance, and troubleshooting.
Maintenance & troubleshooting for Life Fitness & Star Track machines (treadmills, bikes, and weight equipment etc.) (GYM).
Maintenance & troubleshooting of Chiller & AHU’s.
Maintenance of hot water tank and softener plant.
Maintenance & troubleshooting for cable decoder system, music system AV.
Maintenance of UPS & installation.
Arrangement of functions (electrical and etc.).
Repairing of power generators (275 KVA, 220 KVA, etc.).
Maintenance & troubleshooting of building elevators.
Maintenance of Lutron lighting system and building lights & golf course lighting.
Maintenance of all kinds of main kitchen equipment.
Responsible for all kinds of purchases of goods for the engineering department.
All types of building maintenance work handling in all respects (carpentry, plumbing, paint work,
welding, swimming pool, HVAC/generator staff, electronic/electrical/kitchen equipment).

Job Specification

Technical Skills
Leadership Skills
Pressure Handling Skills

Information Technology and Services - Lahore, Pakistan

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Maintenance Manager

Chase Value Centre

Posted 3 days ago

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Job Description

Maintenance Manager
Chase Value Centre, Pakistan

Responsibilities:

  • Develop maintenance procedures and ensure implementation
  • Carry out inspections of the facilities to identify and resolve issues
  • Check electrical systems of buildings to ensure functionality
  • Plan and oversee all repair and installation activities
  • Keep maintenance logs and report on daily activities
Job Specification

Qualifications:

  • Proven experience as maintenance manager or other managerial role
  • Experience in planning maintenance operations
  • Solid understanding of technical aspects of Chiller, plumbing, electrical systems etc.
  • Working knowledge of facilities machines and equipment
  • Ability to keep track of and report on activity
  • Excellent communication and interpersonal skills
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Maintenance Manager

Tapal Tea Pvt. Ltd.

Posted 6 days ago

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Job Description

Maintenance Manager
Tapal Tea Pvt. Ltd. , Pakistan

Qualifications: BE / B-Tech - Mechanical from a recognized institute with at least 6-8 years of experience handling utility equipment including Diesel Generators, Instrument Air Compressors, Stackers, and Blower/Dust Extractors, with at least 3 years in a management position.

Job Specification

The candidate should have strong knowledge of pneumatic and hydraulic systems, and the ability to take initiative or work as a team player focusing on continuous improvement.

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Maintenance Manager

Daska, Punjab QSA Surgical Pvt Ltd

Posted 6 days ago

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Job Description

The incumbent must be familiar to handle all types of trouble shootings of electrical equipment, make root cause analysis reports, and can give recommendations for rectifications including carrying out tests on equipment.

Should be capable to execute & handle project engineering involved in installation, commissioning & testing of electrical equipment such as CNC, Laser Equipment, etc.

Shall be responsible to generate requests for the spare parts needed for the production machines and preventive maintenance of equipment under the clauses of ISO & FDA Shall be capable of performing routine maintenance tasks, maintaining an inventory for the requirement of spare parts, and handling emergency and unplanned issues and repairing.

Must have capability of guiding/leading maintenance team and implementation of organizational strategy moreover shall act as a member of equipment/process validation committee and shall ensure the installation criteria of equipment

Job Specification

B.Sc Electrical/ Mechatronics

05 to 10 year experience Manufacturing Sector

Good knowledge of MS Office , analytical & presentation skills

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Maintenance Manager

Sindh, Sindh Silver Surgical Complex (Pvt) Ltd.

Posted 11 days ago

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Job Description

Silver Surgical Complex (Pvt) Ltd., Pakistan

Position: Maintenance Manager
Qualifications: B.E Mechanical or Electrical or Electro Mechanical
Experience: Ten (10) years experience in Maintenance of Utilities and Injection Molding in Pharma/Surgical industry

Job Specification
  1. Hydraulic, Pneumatic and Machinery Installation Skills
  2. Injection Molding Machines Maintenance
  3. PLC Programming
  4. Strong knowledge of Utilities (Chiller, Cooling Tower, Generators, compressors etc.)

Information Technology and Services - Karachi, Pakistan

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Maintenance Manager

Sindh, Sindh Reckitt

Posted 13 days ago

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Job Description

We are Reckitt

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.
Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

Manufacturing

Our supply chain is the backbone of our business. It's how we get our trusted products to people all over the world, safely and efficiently. And it's our talented and passionate teams that make this happen.

If you're looking for a career in supply chain, there's no better place to be than Reckitt. We offer a variety of exciting opportunities in all areas of the supply chain, from planning and procurement to manufacturing and logistics. You could join our Global Supply Planning team to develop and implement our global supply strategy, or work with our Procurement Centre of Excellence team to negotiate and manage our supplier relationships.

Our Manufacturing Excellence team help us improve the efficiency, quality and safety of our manufacturing operations, and our Logistics Excellence team develop new and innovative ways to distribute our products to customers.

About the role

Embark on a transformative leadership journey with Reckitt as our Maintenance Manager. In this strategic role, you will inspire and oversee a skilled engineering team within one of our bustling large-scale factories. Your expertise will be pivotal in executing projects that enhance our operational efficiency and adapt to the evolving supply chain demands. If you're someone who thrives in an environment where proactive improvement is the norm, this opportunity will empower you to make impactful decisions and champion innovations that shape our industry.

Your responsibilities

- Define a forward-thinking capital investment plan aligning with a 5-year horizon of our large, dynamic site.
- Oversee the capital investment process from initiation to fruition, ensuring project delivery is on time, within budget, and meets specifications.
- Align with site management to provide a comprehensive view of investment plans, securing necessary resources for successful project completion.
- Lead your team to meet project success criteria with strong adherence to timelines and budgets, and complete appraisals and close-out reports.
- Promote continuous improvement across systems, practises, and process deliveries, encouraging a culture that values progress.

The experience we're looking for

- Proven leadership in projects and manufacturing within a similar environment, guiding teams with your management acumen.
- In-depth understanding of engineering, manufacturing processes, and project management methodologies.
- Strong commercial insight to discern business issues and identify opportunities.
- Proven capability in leading engineering and maintenance teams, fostering collaboration and innovation.
- Resilience under pressure and excellent communication skills, ensuring clarity and partnership across levels.

The skills for success

Supply Chain Management, Business Partnership, Collaboration, Partnership building, Relationship management, Business acumen, Productivity management, Improve business processes, Advanced analytics, Data analytics, Manufacturing excellence.

What we offer

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.

Equality

We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law

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