Qureos Mentor

Hiring Talent

A fast paced startup Company is hiring an Operations and Finance Associate.Job Type: Full-time, onsiteShift Timings: 3 pm to 12 amLocation: Shahrah-e-Faisal, KarachiIndustry: AI / FintechResponsibilities:&middot; Manage cap table, equity grants, and vesting schedules in Carta &mdash; issue new grants, handle exercises, and keep records current&middot; Handle bookkeeping and financial record-keeping in QuickBooks &mdash; invoices, expenses, categorization, and reconciliation&middot; Coordinate with external accountants and tax advisors for filings, audits, and compliance&middot; Manage vendor relationships, contracts, and subscription renewals&middot; Assist with payroll processing, contractor payments, and expense tracking&middot; Prepare financial summaries and operational reports for the founding team&middot; Support HR and admin tasks &mdash; onboarding documentation, NDAs, contractor agreements&middot; Keep internal documentation and processes organized as the company scalesRequirements:&middot; 1-3 years in operations, finance, or administrative role&mdash; ideally at a startup or small company&middot; Excellent written and verbal communication &mdash; clear, professional, and responsive&middot; Hands-on experience with QuickBooks or similar accounting software&middot; Familiarity with Carta or similar equity management platforms&middot; Highly organized &mdash; able to manage multiple tasks, deadlines, and stakeholders simultaneously&middot; Detail-oriented &mdash; accurate with numbers, records, and documentation&middot; Proactive and self-directedInterested candidates may apply.Application Question(s):<ul><li>Are you willing to work onsite from 3 pm to 12 am?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>book keeping: 1 year (Preferred)</li><li>financial summaries: 1 year (Preferred)</li><li>QuickBook: 1 year (Preferred)</li><li>Carta: 1 year (Preferred)</li></ul>Work Location: In person

Operations and Finance Associate

We are looking for a Customer Support Specialist for our client in KarachiJob Type: Full-time, onsiteShift Timings: 3 pm to 12 amLocation: Shahrah-e-Faisal, KarachiIndustry: AI / FintechResponsibilities:<ul><li>Respond to user inquiries in a timely and professional manner via email, chat, and phone.</li><li>Troubleshoot and resolve user issues related to account access, application functionality, billing inquiries, and feature usage.</li><li>Escalate technical issues and bugs to the engineering team with clear and reproducible details.</li><li>Maintain and update help documentation, FAQs, and standard responses as the product evolves.</li><li>Monitor recurring issues and share insights with the product and engineering teams to support continuous improvement.</li><li>Assist users with onboarding, account setup, and adoption of key product features.</li><li>Follow up with users after issue resolution to ensure satisfaction and proper closure.</li></ul>Requirements:<ul><li>1&ndash;2 years of experience in customer support, help desk, or a similar user-facing role.</li><li>Excellent written communication skills with a clear, concise, and professional tone.</li><li>Strong verbal communication skills with the ability to explain issues and solutions effectively.</li><li>Empathetic and patient approach when assisting users, especially in challenging situations.</li><li>Strong attention to detail with the ability to accurately document issues and follow through on resolutions.</li><li>Comfortable learning new software tools and navigating technical products.</li><li>Well-organized and self-motivated, with the ability to manage multiple conversations and prioritize tasks efficiently.</li></ul>Interested candidates may apply.Application Question(s):<ul><li>Are you willing to work onsite from 3 pm to 12 am?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>customer support: 1 year (Preferred)</li></ul>Work Location: In person

Customer Support Specialist

A fast paced startup Company is hiring an AI / ML Engineer.Job Type: Full-time, remoteShift Timings: 3 pm to 12 amLocation: Shahrah-e-Faisal, KarachiIndustry: AI / FintechResponsibilities&middot; Research and evaluate techniques for improving LLM reasoning, accuracy, and efficiency &mdash; including prompting strategies, fine-tuning, distillation, and model selection&middot; Design and run rigorous experiments with proper baselines, ablations, and statistical analysis to measure the impact of each technique&middot; Build evaluation frameworks and benchmarks to systematically measure model quality across Yara's key tasks&middot; Improve retrieval-augmented generation pipelines &mdash; embedding models, chunking strategies, re-ranking, query decomposition, and context window optimization&middot; Explore fine-tuning approaches (LoRA, RLHF, DPO) to adapt foundation models for domain-specific performance&middot; Study and reduce failure modes &mdash; hallucination, instruction drift, reasoning errors, and inconsistent structured output generation&middot; Stay current with the research landscape (papers, open-source releases, model updates) and identify techniques with high applicability to Yara's use cases&middot; Prototype emerging approaches (chain-of-thought, self-consistency, tool-use planning, multi-agent coordination) and measure real-world impact&middot; Translate research findings into production-ready improvements and document results for the engineering teamRequirements:&middot; 4-5 years in ML/AI research or applied AI engineering&middot; Strong understanding of LLM architectures, training dynamics, and inference optimization&middot; Hands-on experience with fine-tuning (LoRA, RLHF, DPO) and systematic model evaluation&middot; Proficient in Python and ML frameworks (PyTorch,HuggingFace Transformers)&middot; Experience designing experiments with proper controls, ablations, and reproducibility&middot; Familiarity with RAG systems, embedding models, and retrieval pipelines&middot; Strong written communication &mdash; ability to produce clear internal research reports and technical documentationInterested candidates may apply.Application Question(s):<ul><li>Are you willing to work remotely from 3 pm to 12 am?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI: 4 years (Preferred)</li><li>fine-tuning: 4 years (Preferred)</li><li>PyTorch: 4 years (Preferred)</li></ul>Work Location: In person

AI / ML Engineer

A fast paced startup Company is hiring a Pyhton Developer for their rapidly growing team.Job Type: Full-time, onsiteShift Timings: 3 pm to 12 amLocation: Shahrah-e-Faisal, KarachiIndustry: AI / FintechResponsibilities<ul><li>Design and develop scalable backend services and APIs used by the iOS application and AI engine.</li><li>Build and enhance the financial analytics library, including transaction analysis, categorization, and insight generation.</li><li>Develop and maintain integrations with external services such as Plaid for financial data, LiveKit for real-time sessions, and cloud-based document storage.</li><li>Implement comprehensive testing strategies, including unit, integration, and end-to-end tests.</li><li>Optimize data pipelines to ensure efficient ingestion, transformation, and retrieval of financial data.</li><li>Contribute to architectural decisions and actively participate in code reviews to maintain high code quality.</li><li>Investigate and resolve production issues across the stack when required.</li></ul>Requirements:<ul><li>4&ndash;5 years of experience in backend engineering.</li><li>Strong proficiency in Python.</li><li>Proven experience designing and developing RESTful APIs.</li><li>Strong testing practices, including pytest, integration testing, and CI-driven test suites.</li><li>Comfortable working with databases, including SQL and document-based stores.</li><li>Experience integrating and working with third-party APIs.</li><li>Effective communicator with the ability to take ownership of features from concept to delivery.</li></ul>Interested candidates may apply.Application Question(s):<ul><li>Are you willing to work onsite from 3 pm to 12 am?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>python development: 4 years (Preferred)</li><li>integration testing: 2 years (Preferred)</li><li>integrating third party APIs: 3 years (Preferred)</li></ul>Work Location: In person

Python Developer

We are on the lookout for a User Support Specialist for our client in Karachi.Job Type: Full-time, onsiteShift Timings: 3 pm to 12 amLocation: Shahrah-e-Faisal, KarachiIndustry: AI / FintechResponsibilities:&middot; Respond to user queries promptly and professionally via email, chat, and phone&middot; Troubleshoot and resolve user issues &mdash; account access, app behavior, billing questions, and feature guidance&middot; Escalate technical bugs and edge cases to the engineering team with clear, reproducible descriptions&middot; Maintain and update help documentation, FAQs, and canned responses as the product evolves&middot; Track recurring issues and surface patterns to product and engineering to drive improvements&middot; Guide users through onboarding, feature adoption, and account setup&middot; Follow up on resolved issues to ensure user satisfaction and close the loopRequirements:&middot; 1-2 years in a customer support, help desk, or user-facing role&middot; Excellent written communication &mdash; clear, concise, and professional tone in every interaction&middot; Strong verbal communication &mdash; able to articulate issues and solutions clearly&middot; Empathetic and patient &mdash; able to handle frustrated users with composure and care&middot; Detail-oriented &mdash; able to document issues clearly and follow through on resolutions&middot; Comfortable learning new software tools quickly and navigating technical products&middot; Organized and self-driven &mdash; able to manage multiple conversations and prioritize effectivelyInterested candidates may apply.Application Question(s):<ul><li>Are you willing to work onsite from 3 pm to 12 am ?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>customer support or help desk: 1 year (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

User Support Specialist

The Manager &ndash; Network Infrastructure &amp; Security is responsible for strategic planning, design, implementation, and management of enterprise-wide network architecture, data center infrastructure, and cybersecurity operations. The role ensures high availability, performance optimization, compliance with international standards and proactive threat management across on-premises and cloud environments.This position leads to infrastructure modernization initiatives, oversees security frameworks, and ensure business continuity through resilient and secure network designs.Key Responsibilities&middot; Design, implement, and manage enterprise LAN, WAN, SD-WAN, and Data Center architectures including Spine-Leaf topology and high-availability frameworks.&middot; Oversee routing and switching protocols (BGP, OSPF), VLAN segmentation, VRRP, policy-based routing, and multi-ISP redundancy.&middot; Develop and maintain High-Level (HLD) and Low-Level (LLD) design documentation.&middot; Lead Data Center operations ensuring 99.9%+ uptime, bandwidth optimization, failover strategies, and capacity forecasting (compute, storage, network).&middot; Deploy and administer Next-Generation Firewalls (Cisco, FortiGate, Sangfor NGAF) and enforce secure segmentation and access controls.&middot; Configure IPS/IDS, WAF, Anti-Malware, DDoS protection, VPNs (Site-to-Site &amp; Remote Access), and Zero-Trust security models.&middot; Lead deployment and lifecycle management of SIEM platforms (Wazuh, ELK, Splunk, AlienVault) with centralized log monitoring and real-time threat detection.&middot; Oversee vulnerability assessments, incident response workflows, and Cyber Threat Intelligence integration.&middot; Architect secure AWS and GCP cloud environments including VPCs, VPNs, load balancers, Auto Scaling, and Infrastructure as Code (Terraform, CloudFormation).&middot; Deploy and secure containerized environments using Docker and Kubernetes with compliance hardening.&middot; Drive compliance standards and align infrastructure security with ISO, PCI DSS, NIST, and IEC 62443 frameworks.&middot; Develop SOPs, risk mitigation controls.&middot; Implement monitoring and observability tools (Zabbix, SolarWinds, PRTG, Prometheus, Grafana, Nagios) and automate configurations using Python and Ansible.&middot; Lead and mentor network, infrastructure, and NOC teams while managing vendors, ISPs, and cross-functional stakeholders.&middot; Present infrastructure roadmaps, risk posture, and performance metrics to senior leadership and ensure SLA compliance.&middot; Required Qualifications&middot; Bachelor&rsquo;s or Masters in Computer Science.&middot; 5-7+ years of progressive experience in Network Infrastructure &amp; Security.&middot; Proven experience managing enterprise Data Centers and Cloud environments.&middot; Preferred Certifications&middot; CCNA / CCNP | Fortinet preferredNote: This is purely Onsite Full time RoleLocation: PIDC KarachiWork Location: In person

Manager Network Infrastructure Security

A fast paced startup Company is hiring an AI Research Engineer.Job Type: Full-time, onsiteShift Timings: 3 pm to 12 amLocation: Shahrah-e-Faisal, KarachiIndustry: AI / FintechResponsibilities&middot; Research and evaluate techniques for improving LLM reasoning, accuracy, and efficiency &mdash; including prompting strategies, fine-tuning, distillation, and model selection&middot; Design and run rigorous experiments with proper baselines, ablations, and statistical analysis to measure the impact of each technique&middot; Build evaluation frameworks and benchmarks to systematically measure model quality across Yara's key tasks&middot; Improve retrieval-augmented generation pipelines &mdash; embedding models, chunking strategies, re-ranking, query decomposition, and context window optimization&middot; Explore fine-tuning approaches (LoRA, RLHF, DPO) to adapt foundation models for domain-specific performance&middot; Study and reduce failure modes &mdash; hallucination, instruction drift, reasoning errors, and inconsistent structured output generation&middot; Stay current with the research landscape (papers, open-source releases, model updates) and identify techniques with high applicability to Yara's use cases&middot; Prototype emerging approaches (chain-of-thought, self-consistency, tool-use planning, multi-agent coordination) and measure real-world impact&middot; Translate research findings into production-ready improvements and document results for the engineering teamRequirements:&middot; 4-5 years in ML/AI research or applied AI engineering&middot; Strong understanding of LLM architectures, training dynamics, and inference optimization&middot; Hands-on experience with fine-tuning (LoRA, RLHF, DPO) and systematic model evaluation&middot; Proficient in Python and ML frameworks (PyTorch,HuggingFace Transformers)&middot; Experience designing experiments with proper controls, ablations, and reproducibility&middot; Familiarity with RAG systems, embedding models, and retrieval pipelines&middot; Strong written communication &mdash; ability to produce clear internal research reports and technical documentationInterested candidates may apply.Application Question(s):<ul><li>Are you willing to work onsite from 3 pm to 12 am ?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>ML/AI research: 4 years (Preferred)</li><li>ML frameworks: 4 years (Preferred)</li><li>fine tuning and systematic model evaluation: 4 years (Preferred)</li><li>RAG system: 2 years (Preferred)</li></ul>Work Location: In person

AI Research Engineer

Join Hiring Talent and explore 14   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.