production engineer

Interwood Mobel (Pvt) Ltd.

<div>
 Interwood is looking for a result-oriented and hands-on
 <strong>
  Production Engineer / Section Incharge
 </strong>
 to manage the end-to-end operations of an assigned production section. The candidate will be responsible for production planning and execution, manpower management, floor discipline, team training, quality control, compliance, rework reduction, overtime control, cost optimization, process improvement, and system strengthening.
 <br/>
 <br/>
 The ideal candidate must have a strong engineering background with practical manufacturing experience and the ability to lead production teams on the floor while ensuring timely delivery, quality standards, productivity improvement, and operational efficiency.
 <br/>
 <br/>
 Candidates with
 <strong>
  FMCG manufacturing background
 </strong>
 will be preferred, especially those who have managed high-volume production, labour-intensive operations, shift management, quality compliance, and process efficiency.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Production Planning &amp; Execution
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Take complete ownership of the assigned section's monthly, weekly, and daily production planning and execution.
  </li>
  <li>
   Ensure daily production targets are achieved as per approved production plan, quality standards, timelines, and customer delivery requirements.
  </li>
  <li>
   Monitor plan vs actual production output and take timely corrective actions against delays, gaps, bottlenecks, or deviations.
  </li>
  <li>
   Coordinate with PPC, Quality, Maintenance, Stores, Design, Supply Chain, and other relevant departments to ensure smooth production flow.
  </li>
  <li>
   Ensure effective utilization of machines, manpower, materials, tools, and section capacity.
  </li>
  <li>
   Maintain production records, reports, and section-level performance tracking.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Section Management &amp; Floor Operations
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Supervise day-to-day shopfloor operations of the assigned production section.
  </li>
  <li>
   Manage labour deployment, shift planning, attendance, productivity, task allocation, and floor discipline.
  </li>
  <li>
   Ensure strong control over section operations, housekeeping, safety practices, and compliance with company policies.
  </li>
  <li>
   Identify operational issues on the floor and escalate them timely with practical solutions.
  </li>
  <li>
   Drive accountability among supervisors, operators, workers, and support teams for daily deliverables.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Quality, Rework &amp; Compliance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure production is carried out as per approved drawings, specifications, quality standards, SOPs, and process requirements.
  </li>
  <li>
   Work closely with the Quality team to reduce rejections, reworks, process deviations, and customer complaints.
  </li>
  <li>
   Conduct root cause analysis for recurring quality issues and implement corrective and preventive actions.
  </li>
  <li>
   Ensure compliance with production SOPs, safety standards, quality checkpoints, and process controls.
  </li>
  <li>
   Build quality ownership within the section team to reduce dependency on inspection-based controls.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cost Optimization, Process Improvement &amp; System Strengthening
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work actively on cost optimization initiatives through better manpower utilization, material control, waste reduction, overtime reduction, and improved productivity.
  </li>
  <li>
   Identify opportunities for process improvement, system strengthening, workflow standardization, and operational control within the assigned section.
  </li>
  <li>
   Review current production processes and recommend improvements to reduce delays, rework, idle time, wastage, and productivity losses.
  </li>
  <li>
   Support the implementation of structured systems, SOPs, reporting mechanisms, dashboards, and production tracking formats.
  </li>
  <li>
   Drive continuous improvement initiatives related to cost reduction, capacity enhancement, quality improvement, production efficiency, and process discipline.
  </li>
  <li>
   Improve visibility and accountability through proper documentation, reporting, and follow-up mechanisms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Team Training &amp; Performance Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Train supervisors, operators, and floor teams on production processes, quality standards, safety requirements, productivity expectations, and discipline.
  </li>
  <li>
   Identify skill gaps within the section and support capability development of the team.
  </li>
  <li>
   Build a culture of ownership, teamwork, discipline, quality focus, and continuous improvement.
  </li>
  <li>
   Monitor individual and team performance and take corrective action where required.
  </li>
  <li>
   Ensure proper onboarding and guidance of new team members within the assigned section.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Overtime, Productivity &amp; Efficiency Control
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Reduce overtime through effective planning, manpower utilization, productivity monitoring, and shift control.
  </li>
  <li>
   Improve section output, efficiency, line balancing, and overall process flow.
  </li>
  <li>
   Monitor wastage, delays, idle time, absenteeism, rework trends, and productivity losses.
  </li>
  <li>
   Ensure production targets are delivered with optimum cost, controlled overtime, and improved manpower efficiency.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualification
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Mechanical Engineering, Electrical Engineering, Electronics Engineering, Industrial Engineering, or a relevant engineering discipline.
  </li>
  <li>
   Additional certifications in production management, lean manufacturing, quality management, process improvement, or operational excellence will be preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8-10 years of relevant experience in production, manufacturing operations, plant operations, or section management.
  </li>
  <li>
   Prior experience as Production Engineer, Section Incharge, Assistant Manager Production, Production Supervisor, Manufacturing Engineer, Line Incharge, or Shift Incharge will be preferred.
  </li>
  <li>
   Candidates with FMCG manufacturing background will be preferred.
  </li>
  <li>
   Experience in high-volume production, labour-intensive floor management, shift operations, process efficiency, quality compliance, and productivity improvement will be an added advantage.
  </li>
  <li>
   Experience in furniture, woodworks, appliances, electronics, engineering, automotive, metal, or similar manufacturing industries will also be considered
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical Insurance
  </li>
  <li>
   Provident Fund
  </li>
  <li>
   EOBI
  </li>
  <li>
   Paid Leaves
  </li>
  <li>
   Easy loan and advance salary facility
  </li>
 </ul>
</div>


Production Engineer

GOFY CANDY

<p>Industrial Engineer &ndash; Job Details</p><p>An <b>Industrial Engineer</b> is responsible for improving processes, reducing costs, increasing productivity, and ensuring efficient use of resources such as people, materials, equipment, and time. Industrial engineers work in manufacturing, logistics, healthcare, supply chain, construction, and service industries.</p><p>Key Responsibilities</p><ul><li>Analyze production and business processes.</li><li>Identify inefficiencies and eliminate waste.</li><li>Design and improve workflows and operational systems.</li><li>Conduct time and motion studies.</li><li>Implement Lean Manufacturing and Six Sigma practices.</li><li>Improve quality control and productivity.</li><li>Optimize inventory, logistics, and supply chain operations.</li><li>Prepare reports, cost analyses, and performance metrics.</li><li>Coordinate with management, production teams, and suppliers.</li><li>Ensure workplace safety and process compliance.</li></ul><p>Required Qualifications</p><ul><li>Bachelor's degree in Industrial Engineering or a related engineering field.</li><li>Knowledge of manufacturing and production systems.</li><li>Understanding of Lean Manufacturing, Six Sigma, and quality management.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in Excel, ERP systems, CAD software, or data analysis tools.</li></ul><p>Important Skills</p><ul><li>Process improvement</li><li>Data analysis</li><li>Project management</li><li>Communication and teamwork</li><li>Statistical analysis</li><li>Supply chain management</li><li>Time management</li><li>Continuous improvement methodologies (Lean, Six Sigma)</li><li>EXP: 3 TO 5 YEARS IN FOOD SECTOR</li></ul><p>Work Location: In person</p>

Industrial Engineer FOOD SECTOR

Mekaal Hasan

<p><b>1. About Us</b><br/>Digital Fidelity Studios is the production home of Mekaal Hasan Band, internationally recognized for blending traditional South Asian music with contemporary styles. Across four critically praised albums (including Sampooran and Andholan), we have toured the USA, Canada, Europe, India, Pakistan, and the UAE.</p><p>The studio is a full-service music production hub in Lahore, supporting Mekaal Hasan Band and a growing roster of artists including Romaisa Tariq. We are now expanding our production wing and looking for the right person to mentor and grow with us.</p><p><b>2. The Opportunity (Read This Carefully)</b><br/>This is not a typical job posting. This is a mentorship track.</p><p>You will work directly under Mekaal Hasan himself, learning the craft of music production from one of Pakistan's most respected names in the industry. Over time, you will become an integral part of the studio's production team.</p><p>&quot;I want us to begin searching for a young Associate Producer who can be mentored directly under me and eventually become an integral part of the production wing of the company. This role is not just a job. It is a mentorship opportunity where the individual will develop into a high-level producer and engineer.&quot;<br/>- Mekaal Hasan</p><p>If you are hungry to learn, technically capable, reliable, and serious about building a long-term career in music production, keep reading.</p><p><b>3. Who You Will Work With</b></p><ul><li>Mekaal Hasan (direct mentor, daily working relationship)</li><li>Romaisa Tariq and other DFS roster artists</li><li>The wider Mekaal Hasan Band and Digital Fidelity Studios team</li><li>Visiting singers, session musicians, and clients you bring in yourself</li></ul><p><b>4. What You Will Be Doing</b><br/><b>A. </b>Studio &amp; Production Work</p><ul><li>Operate Logic Pro for recording sessions, editing, and session management</li><li>Handle vocal editing and pitch correction using Melodyne (timing and pitch)</li><li>Transfer productions between Logic Pro and Ableton Live, especially for live performance setups (Romaisa Tariq's live shows and similar artist work)</li><li>Assist with microphone setup, signal flow, and basic mixing during sessions</li><li>Maintain professional studio etiquette during recordings with artists</li></ul><p><b>B. </b>Session &amp; Project Management</p><ul><li>Maintain organised session archives for every project</li><li>Manage regular backups of all sessions and project files</li><li>Build clean project documentation for handoffs and references</li><li>Keep the studio's production pipeline organised and accessible</li></ul><p><b>C.</b> Talent &amp; Client Outreach (Commission-Based)</p><ul><li>Identify and approach singers, musicians, and bands who need a professional space to record</li><li>Walk them through the DFS recording and composing structure</li><li>Bring them into the studio as paying clients</li><li>Earn commission on every project you bring in (see Compensation section below)</li></ul><p><b>5. What We Are Looking For</b><br/>Technical Skills (Required)</p><ul><li>Hands-on experience with Logic Pro for recording, editing, and session management</li><li>Working knowledge of Melodyne for vocal timing and pitch correction</li><li>Familiarity with Ableton Live, especially for live performance setups</li><li>Understanding of microphone setup, signal flow, and basic mixing</li><li>Solid grasp of studio etiquette and recording techniques</li><li>Strong organisational skills (session archives, backups, file management)</li></ul><p>Personality Traits We Value</p><ul><li>Genuinely hungry to learn and grow</li><li>Reliable, punctual, and professional in studio environments</li><li>Patient under pressure during long recording sessions</li><li>Connected to or actively building presence in the local music scene</li><li>Serious about a long-term career in music production</li><li>Comfortable asking questions and taking direction</li></ul><p>Music Background (Huge Plus)<br/>A real, demonstrated interest in music production is a major advantage. We are especially interested in candidates who have:</p><ul><li>Studied music production formally or built skills through serious self-teaching with a portfolio</li><li>Played in bands or worked on independent music projects</li><li>Done internships or assistant work at recording studios</li><li>Personal SoundCloud, Bandcamp, or YouTube production work</li><li>Strong connections in the Pakistani independent music scene</li><li>Familiarity with Sufi, folk, fusion, classical, or rock genres</li></ul><p><b>6. Compensation Structure</b><br/>We are upfront about this. Please read carefully before applying.<br/>Probation Period (Months 1 to 3)</p><ul><li>TADA provided to cover daily transport and meal expenses</li><li>Commission earnings active from Day One on every artist or client you bring to the studio (no cap)</li><li>No base salary during probation period</li><li>Exception: For exceptional candidates with strong portfolios and proven skills, a probationary salary may be offered at hiring manager's discretion</li><li>Important: The 3-month probation period still applies even if a probationary salary is offered</li></ul><p>Commission Structure (Active From Day One)</p><ul><li>Handsome commission on every recording project you bring to DFS</li><li>You build a talent ecosystem around the studio and earn from it directly</li><li>No cap on commission earnings</li><li>Specific commission percentages discussed during interview based on project scope and type</li></ul><p>Post-Probation (Month 4 Onwards)</p><ul><li>Performance review at the end of 3 months</li><li>Full salary offered based on demonstrated skill, contribution, and commission earnings during probation</li><li>Commission structure continues alongside the fixed salary</li><li>Annual increments tied to studio growth and personal performance</li></ul><p><b>Why This Structure Exists</b><br/>This compensation model is built around two principles:</p><p><b>I. </b>Music production is an apprenticeship craft. The first three months are heavily focused on learning under Mekaal's mentorship, not output. We want to invest our mentorship hours in someone who values the learning itself.</p><p><b>II. </b>Commitment is the test. Candidates who sustain themselves through TADA and commission for three months are the candidates who genuinely want a long-term career in this industry.</p><p>If you are looking for a salaried entry-level studio job from day one, this role may not be the right fit. If you are looking for the kind of mentorship that shapes a career for the next decade, you are in the right place.</p><p><b>7. Growth Path</b></p><ul><li>Months 1 to 3: Associate Producer under direct mentorship from Mekaal Hasan</li><li>Months 4 to 12: Junior Producer with assigned session responsibilities</li><li>Year 2 onwards: Producer in the DFS production wing, leading sessions independently</li><li>Long-term: Senior Producer or Engineer at Digital Fidelity Studios with a personal client roster</li></ul><p><b>8. Working Hours &amp; Location</b></p><ul><li>Days: Monday to Saturday</li><li>Hours: Schedule aligns with studio session bookings and Mekaal's working rhythm (expect a mix of daytime and late-night sessions)</li><li>Location: 11-B Warris Road, Off Main Jail Road, Jinnah Town, Lahore, Punjab, Pakistan</li><li>Note: This is an on-site role. Candidates must be able to commute to and work from this location daily.</li></ul><p><b>9. Eligibility Criteria</b></p><ul><li>Age between 22 and 30 years preferred (open to exceptional candidates outside this range)</li><li>Must be based in or willing to relocate to Lahore</li><li>Must be able to work full-time on-site at our studio</li><li>Previous experience in music production, recording, or engineering preferred (not mandatory if portfolio shows strong potential)</li><li>We welcome applications from all qualified candidates. Female candidates are especially encouraged to apply.</li></ul><p><b>10. How To Apply</b><br/>Email to: solid.salar@gmail.com</p><p>Subject Line (use exactly): DFS Associate Producer Application - [Your Full Name]</p><p>Please include:</p><ul><li>Updated CV with music production experience and education</li><li>Portfolio or showreel of your production work (Logic Pro project links, Ableton sessions, SoundCloud, Bandcamp, YouTube, or similar)</li><li>A short 200-word note on why you want to work in music production and what you hope to learn from this mentorship</li><li>Any references from previous studio or music industry work</li><li>Valid CNIC copy</li></ul><p><b>What Happens Next:</b><br/>Shortlisted candidates will be invited for an in-person interview at the studio, followed by a hands-on technical assessment (Logic Pro session task, Melodyne exercise, and a short Ableton transfer task).</p><p><b>11. One Final Note</b><br/>Most producers in Pakistan have to scratch their way into the industry through years of uncertain unpaid work and inconsistent mentorship. We are offering something different:</p><ul><li>Structured mentorship under a recognised producer</li><li>Immediate commission earnings from your own client work</li><li>A clear growth path with defined milestones</li><li>The chance to build your own client roster from day one</li></ul><p>If you are the right person, this role can shape your career for the next decade.</p><p>Pay: Rs15,000.00 - Rs25,000.00 per month</p><p>Work Location: In person</p>

ASSOCIATE PRODUCER

Qureos

<h3> </h3><p>As a DevOps Engineer, you will design, implement, and maintain the infrastructure that supports our applications and services — and, just as importantly, you will keep that infrastructure reliable in production. You will work closely with development, QA, and IT teams to automate and streamline operations, build the observability that lets us catch problems before customers do, and lead the response when incidents happen. This is a hands-on role where you own the health of production, not only its build-out. We are hiring at a <strong>mid level (3–5 years)</strong> for someone with strong production instincts and the judgment to grow into a senior reliability owner as we scale globally.<br /> </p><h3>Key Responsibilities<br /> </h3><h4>Infrastructure Management</h4><ul><li>Design, deploy, and manage cloud infrastructure on Google Cloud Platform (GCP).</li><li>Implement and maintain scalable container orchestration using Docker.</li></ul><h4>CI/CD Pipeline</h4><ul><li>Develop and maintain continuous integration/continuous deployment (CI/CD) pipelines to automate testing, building, and deployment processes through GitHub and Google Cloud Run.</li><li>Collaborate with development teams to integrate new features into the CI/CD process.</li></ul><h4>Monitoring &amp; Observability</h4><ul><li>Set up and manage monitoring, logging, and alerting systems using tools like Elasticsearch, Kibana, Prometheus, and New Relic.</li><li>Build dashboards, metrics, and actionable alerts so engineering detects degradations before customers do — and so no critical signal (e.g. a database running hot for hours) ever goes unnoticed.</li></ul><h4>Reliability &amp; Incident Response (SRE)</h4><ul><li>Define, measure, and own service-level objectives (SLOs/SLIs) and error budgets for critical services.</li><li>Lead incident response end to end: triage by severity, form a hypothesis and confirm it with metrics before taking action, mitigate, and drive to resolution. Act as incident commander on major incidents and coordinate communication across stakeholders.</li><li>Run blameless postmortems, identify true root causes, and track corrective actions to closure.</li><li>Participate in an on-call rotation; continuously reduce toil and mean-time-to-recovery (MTTR) through automation.</li><li>Plan for capacity, performance, and cost as we scale toward multi-region, global traffic.</li></ul><h4>Database Management</h4><ul><li>Administer and optimize MongoDB instances, ensuring data integrity, performance, and security.</li><li>Implement backup, recovery, and disaster recovery strategies for MongoDB and other databases.</li></ul><h4>Security &amp; Compliance</h4><ul><li>Implement security best practices across infrastructure, applications, and data.</li><li>Ensure compliance with industry standards and internal policies.</li></ul><h4>Automation &amp; Scripting</h4><ul><li>Automate infrastructure provisioning, configuration management, and system operations using GCP services.</li><li>Develop custom scripts as needed to enhance automation and operational efficiency.</li></ul><h4>Collaboration &amp; Support</h4><ul><li>Work closely with development and QA teams to support the software development lifecycle.</li><li>Provide technical guidance and support to resolve infrastructure-related issues.<br /> </li></ul><h3>Qualifications<br /> </h3><h4>Education</h4><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).</li></ul><h4>Experience</h4><ul><li>3–5+ years of experience as a DevOps Engineer or in a similar role.</li><li>Strong experience with Docker, including container orchestration using Kubernetes.</li><li>Hands-on experience with Google Cloud Platform (GCP) services, including Compute Engine, Cloud Storage, Cloud Run, and GKE.</li><li>Experience with Elasticsearch for monitoring, logging, and search.</li><li>Proficiency in administering and optimizing MongoDB databases.</li><li>Demonstrated experience operating production systems and responding to incidents — not only building infrastructure. You can point to real production incidents you owned, quantify their impact concretely (users affected, duration, consequence), and describe what you changed afterward.</li></ul><h4>Skills</h4><ul><li>Strong scripting skills in Python, Bash, or similar languages.</li><li>Proficiency in infrastructure as code (IaC) tools such as Terraform or Ansible.</li><li>Experience with CI/CD tools such as GitHub Actions or CircleCI.</li><li>Sound production-debugging methodology: observe and form a hypothesis before acting, reason about how components fail together (e.g. how a queue backlog interacts with the database), and update your approach when new information appears.</li><li>Familiarity with defining alerts, dashboards, and SLOs; comfort reasoning about availability, latency, saturation, and error budgets.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Strong communication skills and ability to work collaboratively across teams.</li><li>Strong ownership and a blameless, collaborative posture under pressure — focused on diagnosing and fixing problems rather than assigning blame.</li></ul><h4>Nice to Have</h4><ul><li>Experience with additional cloud platforms (e.g. AWS or Azure).</li><li>Familiarity with Agile/Scrum methodologies.</li><li>Certifications in Docker, GCP, or related technologies.</li></ul><p> </p>

DevOps & Site Reliability Engineer (GCP)

Aca HR Solutions

<ul><li><b>Key Responsibilities:</b></li></ul><p><b>1. Process Optimization &amp; Performance Monitoring</b></p><ul><li>Monitor and analyze process parameters across polymerization, spinning, drawing, and cutting sections.</li></ul><p><b>2. Troubleshooting &amp; Technical Support</b></p><ul><li>Lead root cause analysis for process deviations, equipment issues, and quality defects.</li><li>Provide immediate technical support to production teams during breakdowns or abnormal process behavior.</li><li>Coordinate with Mechanical and E&amp;I departments for corrective actions.</li></ul><p><b>3. Quality Improvement</b></p><ul><li>Work closely with QC/QA teams to maintain and enhance product quality.</li><li>Implement process adjustments to minimize variations in denier, tensile strength, moisture, and other fiber properties.</li><li>Evaluate customer feedback and drive corrective and preventive actions CAPA.</li></ul><p><b>4. Project &amp; Modification Work</b></p><ul><li>Lead process-related improvement projects and plant modification initiatives.</li><li>Participate in commissioning and trials for new machines, technologies, and process upgrades.</li><li>Liaise with vendors for equipment enhancements, chemicals, and process-related accessories.</li></ul><p><b>5. Data Analysis &amp; Reporting</b></p><ul><li>Analyze daily production and performance data to identify trends and improvement areas.</li><li>Prepare technical reports, dashboards, and process monitoring sheets.</li><li>Recommend operational changes to senior management based on data-driven insights.</li></ul><p><b>6. SOP Development &amp; Training</b></p><ul><li>Develop, review, and update SOPs, work instructions, and process guidelines.</li><li>Train production staff and shift teams on process control, troubleshooting, and best practices.</li><li>Ensure adherence to standards and reduce human error in operations.</li></ul><p><b>7. Safety, Compliance &amp; Environment</b></p><ul><li>Ensure compliance with HSE policies, safety protocols, and regulatory requirements.</li><li>Conduct risk assessments and support implementation of safe operating procedures.</li><li>Work on energy conservation, waste reduction, and environmental sustainability initiative</li><li>Identify inefficiencies and implement optimization strategies to improve throughput and quality.</li><li>Ensure consistent production performance within defined quality and safety standards.</li></ul><p><b>Qualification:</b><br/>Bachelor&rsquo;s or Master&rsquo;s degree in Chemical Engineering, Polymer Engineering, or related field.</p><p><b>Experiance:</b></p><ul><li><b>2&ndash;3 years of relevant experience</b> in polyester fiber, polymer, textile, or chemical process industries.</li><li>Strong experience in fiber manufacturing processes polymerization, spinning, drawing.</li><li>Hands-on expertise in process troubleshooting and optimization.</li></ul><p>Work Location: In person</p>

PROCESS ENGINEER

Glow

<div>
 <strong>
  About Glow
  <br/>
 </strong>
 At
 <strong>
  Glow
 </strong>
 , we believe in
 <strong>
  protecting the dreams of small businesses.
  <br/>
 </strong>
 We're building the
 <strong>
  smartest insurance platform for small businesses
 </strong>
 &mdash; combining
 <strong>
  real human expertise
 </strong>
 with
 <strong>
  AI-powered technology
 </strong>
 to make insurance simple, transparent, and proactive. Behind every small business is someone who took a risk to build something better. Glow ensures they're protected &mdash; so they can grow with confidence and without limits.
 <br/>
 <br/>
 We've raised
 <strong>
  $24M in Series A funding
 </strong>
 from world-class investors to power that mission.
 <br/>
 <br/>
 <strong>
  The Problem We're Solving
  <br/>
  <br/>
 </strong>
 Jane runs a 20-person restaurant. She's busy managing staff, customers, rising costs, and compliance requirements. Insurance is something she only thinks about when something goes wrong.
 <br/>
 <br/>
 Glow exists to change that.
 <br/>
 <br/>
 We're building the insurance platform for small businesses&mdash;helping owners get the right coverage, better pricing, and proactive support before problems become expensive surprises.
 <br/>
 <br/>
 AI is at the center of that mission.
 <br/>
 <br/>
 <strong>
  What You'll Build
  <br/>
 </strong>
 This isn't a chatbot role.
 <br/>
 <br/>
 You'll build AI systems that directly impact how small businesses manage risk and insurance:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Proactive Coverage Intelligence that identifies coverage gaps and opportunities before customers know they exist
  </li>
  <li>
   Risk Advisory Systems that monitor payroll, class codes, audits, and claims trends to surface issues early
  </li>
  <li>
   Pre-Quote &amp; Pre-Underwriting Workflows that help us quote faster and more accurately than competitors
  </li>
  <li>
   24/7 AI Support Experiences that help customers understand coverage, make changes, and file claims in plain language
  </li>
  <li>
   Internal AI Copilots that amplify the productivity of every team at Glow
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Insurance is a high-stakes, information-dense domain where AI can create meaningful leverage. The systems you build will have real-world consequences and measurable impact.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
 </strong>
 You'll own products and features end-to-end - from identifying the problem to shipping the solution and measuring results.
 <br/>
 <br/>
 Product Ownership
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Work directly with users, teammates, and stakeholders to understand problems deeply
  </li>
  <li>
   Turn ambiguity into clear plans, product requirements, and execution
  </li>
  <li>
   Own outcomes, not just implementation
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Build AI-Native Products
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Design and integrate LLM-powered workflows using prompts, tool calling, structured outputs, RAG, and agent architectures
  </li>
  <li>
   Build systems that are reliable, measurable, and production-ready
  </li>
  <li>
   Improve prompts, evaluations, context management, and agent tooling across the company
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Ship Across the Stack
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Build production software using:
  </li>
  <ul>
   <li>
    Node.js
   </li>
   <li>
    React &amp; TypeScript
   </li>
   <li>
    GraphQL
   </li>
   <li>
    PostgreSQL
   </li>
   <li>
    AWS
   </li>
   <li>
    Temporal
    <br/>
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 No layer of the stack is off-limits.
 <br/>
 <br/>
 Validate &amp; Iterate
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Monitor what you ship
  </li>
  <li>
   Measure user and business outcomes
  </li>
  <li>
   Debug, improve, and continuously refine systems after launch
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Use AI as a Force Multiplier
 <br/>
 <br/>
 Claude Code, Cursor, and agentic development tools are core parts of our workflow.
 <br/>
 <br/>
 You'll use them heavily&mdash;but you'll also know when they're wrong.
 <br/>
 <br/>
 The job isn't writing every line yourself. The job is exercising the judgment to identify edge cases, flawed assumptions, security risks, and incorrect implementations before they reach production.
 <br/>
 <br/>
 <strong>
  Who We're Looking For
  <br/>
 </strong>
 We care less about years of experience and more about ownership, judgment, and execution.
 <br/>
 <br/>
 You should have:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   1-3 years of software engineering experience (exceptional candidates outside this range are encouraged to apply)
  </li>
  <li>
   A track record of shipping real products or features end-to-end
  </li>
  <li>
   Daily hands-on use of Claude Code, Cursor, or similar AI development tools
  </li>
  <li>
   Experience building with LLM APIs such as Anthropic, OpenAI, or equivalent
  </li>
  <li>
   Experience shipping at least one AI feature involving tool use, structured outputs, RAG, or agent workflows
  </li>
  <li>
   Strong proficiency with Node.js and React/TypeScript
  </li>
  <li>
   Working knowledge of GraphQL, PostgreSQL, and AWS
  </li>
  <li>
   Strong product instincts and customer empathy
  </li>
  <li>
   Excellent technical judgment and attention to detail
  </li>
  <li>
   A bias toward action and ownership
  </li>
  <li>
   Low ego, high EQ, and a collaborative mindset
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 A Computer Science or Software Engineering degree is preferred, but demonstrated ability and a strong shipping record matter more than credentials.
 <br/>
 <br/>
 <strong>
  Nice to Have
 </strong>
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Experience at an early-stage or high-growth startup
  </li>
  <li>
   Familiarity with:
  </li>
  <ul>
   <li>
    Vercel AI SDK
   </li>
   <li>
    LangChain / LangGraph
   </li>
   <li>
    Anthropic SDK
   </li>
   <li>
    OpenAI Agents
    <br/>
    <br/>
   </li>
  </ul>
  <li>
   Experience building RAG systems, embeddings pipelines, or vector databases (pgvector, Pinecone, Weaviate)
  </li>
  <li>
   Experience building MCP servers or agent tooling
  </li>
  <li>
   Experience designing evaluation frameworks for LLM systems
  </li>
  <li>
   Public AI projects, open-source contributions, or a strong GitHub portfolio
  </li>
  <li>
   Strong product design and UX instincts
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Why Glow
 <br/>
 <br/>
 Build AI That Matters
 <br/>
 <br/>
 Work on systems that proactively protect small businesses&mdash;not demo projects or experimental side initiatives.
 <br/>
 <br/>
 AI-Native Culture
 <br/>
 <br/>
 Frontier models and agentic workflows are embedded in how we operate every day.
 <br/>
 <br/>
 Ownership &amp; Autonomy
 <br/>
 <br/>
 Own meaningful problems from day one and see the direct impact of your work.
 <br/>
 <br/>
 Startup Velocity
 <br/>
 <br/>
 Move quickly, experiment often, and ship continuously.
 <br/>
 <br/>
 Accelerated Growth
 <br/>
 <br/>
 Develop product thinking, engineering judgment, and AI-native execution skills at a level few teams can offer.
 <br/>
 <br/>
 Mission-Driven Work
 <br/>
 <br/>
 Behind every small business is someone who took a risk to build something meaningful. We help protect what they've built.
 <br/>
 <br/>
 Glow is backed by
 <strong>
  $24M in Series A funding
 </strong>
 and is building the future of small business insurance from our office in Lahore.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Product Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>Skill- Data Scientist</p>
<p>Exp - 6+years</p>
<p>Location- Hyderabad</p>
<p>JD</p>
<p>Core Programming &amp; Tools</p>
<ul><li> Hands-on experience building and deploying ML models on large-scale production datasets</li></ul>
<ul><li> Strong programming proficiency in Python with production-quality, well-structured code</li></ul>
<ul><li> Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake</li></ul>
<ul><li> Experience with Git for version control, code review, and collaboration</li></ul>
<ul><li> Familiarity with experiment tracking and model versioning (e.g., MLflow)</li></ul>
<p>Classical ML &amp; Statistical Modeling</p>
<ul><li> Time series forecasting (ARIMA, Prophet, deep learning approaches)</li></ul>
<ul><li> Optimization modeling (linear programming, mixed-integer programming)</li></ul>
<ul><li> &amp;nbs p; Classification, regression, clustering, and ensemble methods</li></ul>
<ul><li> Feature engineering, data wrangling, and statistical analysis on structured data</li></ul>
<p>LLM Application &amp; AI Agent Development</p>
<ul><li> AI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestration</li></ul>
<ul><li> RAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpoints</li></ul>
<ul><li> Prompt engineering and chain-of-thought design for complex supply chain workflows</li></ul>
<ul><li> Experience with orchestration frameworks like LangChain or LlamaIndex</li></ul>
<p>Azure &amp; Production Delivery</p>
<ul><li> Familiar with core Azure resources: Azure Machine Learning, Azure AI Studio, Azure OpenAI Service, and Azure storage/compute</li></ul>
<ul><li> Experience delivering production-ready models with proper testing, validation, and monitoring</li></ul>
<ul><li> Basic UI skills (Streamlit or Gradio) for quick prototyping and demos</li></ul>
<p>Work Style</p>
<ul><li> Highly self-motivated, collaborative, and able to deliver in a fast-paced environment</li></ul>
<ul><li> Able to start contributing within 1-2 weeks with minimal ramp-up</li></ul><br>
</div></div></div><p></p><div><div><div>Location
</div><div>Hyderabad
</div></div><div><div>Job Function
</div><div>TECHNOLOGY
</div></div><div><div>Role
</div><div>Engineer
</div></div><div><div>Job Id
</div><div>416990
</div></div><div><div>Desired Skills
</div><div>Data Science
</div></div></div><div>Desired Candidate Profile
</div><div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

Data Scientist

Explore 230+ Production engineer in Pakistan this July. Find roles across top companies and apply now to boost your career.