ai & ml automation consultant (project-based)

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ai & ml automation consultant (project-based) Jobs in Islamabad

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ai ml automation consultant project based

Hashmi Medical and ICSI Centre

OverviewWe seek an experienced AI and Machine Learning Automation Consultant to evaluate, design, and implement automation across our business operations. The objective is to identify processes that can be automated. Design practical AI-driven solutions. Implement systems that improve speed, reduce manual work, and increase operational efficiency.This is a project-based engagement. The consultant will work independently, assess current workflows, recommend solutions, and execute automation within a defined and short timeframe.You will act as both strategist and implementer. You will diagnose operational inefficiencies, propose AI-enabled solutions, and lead the execution of those solutions.The role requires strong technical depth and proven business process automation experience.Key ObjectivesYou will focus on measurable operational improvements.Primary objectives include:<ul><li>Audit current business processes and identify automation opportunities</li><li>Design AI-driven workflows to eliminate repetitive manual tasks</li><li>Implement automation tools and AI systems across departments</li><li>Integrate AI solutions with existing platforms and infrastructure</li><li>Improve internal communication and workflow efficiency</li><li>Reduce operational cost through automation</li><li>Deliver results within a short and defined project timeline</li></ul>Scope of WorkThe consultant will review current operations and propose an actionable automation roadmap.Areas may include:<ul><li>Sales process automation</li><li>Customer communication automation</li><li>Internal communication workflows</li><li>Data processing and reporting automation</li><li>Customer support automation</li><li>Marketing automation using AI tools</li><li>Inventory and operational workflow automation</li><li>Integration of AI agents and automation systems with existing tools</li></ul>You will also develop documentation and internal guidelines so the team can operate the systems after deployment.Key Responsibilities<ul><li>Conduct a full operational assessment of current business workflows</li><li>Identify processes suitable for AI or ML based automation</li><li>Present a clear automation roadmap with timelines and deliverables</li><li>Recommend appropriate AI platforms, models, and tools</li><li>Design and deploy AI agents and automated workflows</li><li>Integrate AI solutions with internal tools such as CRM, communication platforms, e-commerce platforms, and operational systems</li><li>Implement automation using APIs, integrations, and workflow tools</li><li>Ensure solutions are reliable, scalable, and secure</li><li>Provide technical documentation and operational handover to the team</li></ul>Required Qualifications<ul><li>Strong background in Artificial Intelligence and Machine Learning</li><li>Proven experience implementing AI automation in business environments</li><li>Demonstrated experience in process automation and workflow optimization</li><li>Experience integrating AI tools with business platforms and APIs</li><li>Strong understanding of business operations and process analysis</li><li>Experience with automation frameworks and AI-driven tools</li><li>Ability to independently plan and execute automation projects</li><li>Strong problem-solving and analytical skills</li><li>Clear communication and ability to translate technical solutions into business outcomes</li></ul>Preferred Technical ExperienceExperience in several of the following areas is expected:<ul><li>AI workflow automation platforms</li><li>Large language models and AI agents</li><li>Machine learning applications in operations</li><li>API integrations and system orchestration</li><li>Data processing and automation pipelines</li><li>CRM, ecommerce, and communication platform integrations</li><li>Process mapping and operational optimization</li></ul>DeliverablesThe consultant will deliver:<ul><li>A full business process automation assessment</li><li>A prioritized automation roadmap</li><li>Implemented AI automation systems</li><li>Integrated workflows across relevant business tools</li><li>Documentation and training for internal teams</li></ul>Performance ExpectationsSuccess in this role depends on execution speed and practical outcomes.We expect:<ul><li>Rapid understanding of the business structure</li><li>Clear identification of automation opportunities</li><li>Fast implementation of high-impact solutions</li><li>Measurable operational improvements</li></ul>Engagement Structure<ul><li>Project-based engagement</li><li>Short-term implementation timeline</li><li>Flexible work arrangement, remote or on-site</li><li>Compensation based on experience and project scope</li></ul>How to ApplyApplicants should submit:<ul><li>A brief professional profile</li><li>Relevant project experience in AI automation</li><li>Examples of automation systems implemented</li><li>Proposed approach to business process automation</li><li>Interested applicants may submit their application and supporting materials to Hr@gkhair.com</li></ul>Compensation Structure<ul><li>This engagement is compensated on a milestone basis. Payment is tied directly to delivered outcomes, not hours worked.</li></ul>We seek professionals who focus on execution and results. This role suits individuals who can quickly diagnose operational inefficiencies and implement practical AI-driven solutions.Job Type: Contract Contract length: 6 monthsWork Location: Hybrid remote in Islamabad I-10/Markaz

AI & ML Automation Consultant (Project-Based)

Systems Limited

<div>
 
 The Enterprise Architect &ndash; Data, AI &amp; Platforms is a senior leader within the Enterprise Architecture function, responsible for defining, governing, and evolving the organization&rsquo;s end‑to‑end technology architecture across data, AI/ML, platforms, and infrastructure. This role ensures that the enterprise technology landscape is modern, scalable, secure, cloud‑ready, and optimized to enable data‑driven decision-making, intelligent automation, and digital transformation. The Enterprise Architect partners with data teams, infrastructure, application development, security, and business domain architects to design an integrated technology ecosystem that accelerates value creation and supports enterprise strategic priorities.
 
 
 
 
 
 Responsibilities:
 
 <ul>
 <li>
 Define and maintain the enterprise target architecture across data, AI, platforms, and infrastructure, including principles, standards, patterns, and reference architectures.
 </li>
 <li>
 Establish architecture guardrails that promote data quality, AI readiness, platform automation, integration, standardization, and security by design.
 </li>
 <li>
 Lead the development of data and AI platform architecture, covering data lakes, data warehouses, real‑time streaming, ML platforms, and model lifecycle management.
 </li>
 <li>
 Drive modernization initiatives across cloud, hybrid, and on‑prem environments to support advanced analytics, AI workloads, and scalable digital platforms.
 </li>
 <li>
 Architect solutions that support large-scale analytics, ML training and inference, model deployment, and intelligent automation.
 </li>
 <li>
 Collaborate with data architects and engineers to ensure data platforms are highly available, resilient, governed, and optimized for performance and cost.
 </li>
 <li>
 Design platform capabilities that streamline DevOps, MLOps, DataOps, observability, and automation.
 </li>
 <li>
 Ensure technology decisions support regulatory compliance for data governance, security, privacy, and data residency.
 </li>
 <li>
 Lead the evolution of enterprise infrastructure to ensure it meets requirements for scalability, performance, AI compute, storage modernization, network reliability, and cybersecurity.
 </li>
 <li>
 Oversee the lifecycle of key platforms including virtualization, container platforms (e.g., OpenShift/Kubernetes), cloud services, storage, and enterprise databases.
 </li>
 <li>
 Guide the selection and implementation of infrastructure and cloud technologies that support AI acceleration, distributed computing, and modern data workloads.
 </li>
 <li>
 Develop strategies for capacity planning, business continuity, and disaster recovery for critical platforms.
 </li>
 <li>
 Partner with business and technology stakeholders to translate business outcomes into capable, scalable, and future-proof technology architectures.
 </li>
 <li>
 Lead cross-functional architecture reviews and ensure alignment with enterprise architecture roadmaps.
 </li>
 <li>
 Provide technical leadership and mentorship to architects, engineers, and project teams.
 </li>
 <li>
 Maintain comprehensive documentation including roadmaps, reference architecture, standards, and guidelines.
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field (or equivalent experience).
 </li>
 <li>
 15+ years in infrastructure, data, or platform engineering/operations, with 5&ndash;7 years in architecture leadership roles.
 </li>
 <li>
 Demonstrated experience defining enterprise-wide data, AI, platform, and infrastructure architectures in complex hybrid environments.
 </li>
 <li>
 Deep expertise in:
 </li>
 <li>
 Enterprise data platforms, data engineering, analytics platforms.
 </li>
 <li>
 AI/ML platforms, model lifecycle technologies, MLOps.
 </li>
 <li>
 Cloud architecture (Azure, OCI, AWS).
 </li>
 <li>
 Container platforms (Kubernetes, OpenShift).
 </li>
 <li>
 Compute, storage, networking, security, and virtualization technologies.
 </li>
 <li>
 Familiarity with infrastructure and platform solutions such as AIX, RHEL, Oracle Database, Dell EMC Storage, Pure Storage, Data Domain, Cisco, Palo Alto, Checkpoint.
 </li>
 <li>
 Experience with DevOps, Platform Engineering, DataOps, MLOps, and observability tools.
 </li>
 <li>
 Hands-on experience with Infrastructure-as-Code (IaC) and automation tools (Terraform, Ansible, Jenkins, etc.).
 </li>
 <li>
 Strong understanding of security architecture, cloud governance, and regulatory requirements.
 </li>
 <li>
 Proven ability to lead large-scale platform, data, or infrastructure transformation initiatives.
 </li>
 <li>
 Excellent communication, analytical thinking, and cross-functional leadership skills.
 </li>
 <li>
 Certifications in cloud, networking, infrastructure, or architecture frameworks (AWS, Azure, TOGAF) are a plus.
 </li>
 <li>
 Experience with ITIL, Agile, and modern delivery methodologies.
 </li>
 </ul>
 
 
</div>

Enterprise Architect - Data, AI & Platforms

Python Technologies

Job Title: AI Engineer (2+ Years Experience) Location: Onsite &ndash; DHA Phase 2, Islamabad Job Type: Full-time Working Hours: 6:00 PM &ndash; 2:00 AM (Evening/Night Shift)About the Role: We are looking for a skilled and motivated AI Engineer with at least 2+ years of hands-on experience to join our team onsite at our DHA Phase 2 Islamabad office. You will be responsible for designing, developing, and deploying AI-powered solutions across various products and client projects. This role is ideal for someone who enjoys building real-world AI applications and working in a fast-paced environment.Key Responsibilities:<ul><li>Design, develop, and deploy AI/ML models and AI-driven applications</li><li>Build and integrate LLM-based features (chatbots, automation tools, AI assistants, etc.)</li><li>Work with APIs, vector databases, and model integrations</li><li>Optimize models for performance, scalability, and accuracy</li><li>Collaborate with product, backend, and frontend teams to deliver AI solutions</li><li>Conduct testing, evaluation, and continuous improvement of AI systems</li><li>Stay updated with the latest AI trends, tools, and frameworks</li></ul>Requirements:<ul><li>Minimum 2+ years of experience in AI/ML or related field</li><li>Strong proficiency in Python</li><li>Experience with LLMs, OpenAI APIs, LangChain, or similar frameworks</li><li>Familiarity with machine learning frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience with REST APIs, databases, and cloud services</li><li>Understanding of prompt engineering, RAG pipelines, or AI automation workflows</li><li>Strong problem-solving and debugging skills</li><li>Good communication and teamwork abilities</li></ul>Nice to Have:<ul><li>Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)</li><li>Experience deploying AI applications to production</li><li>Knowledge of Docker, CI/CD, or cloud platforms (AWS, GCP, Azure)</li></ul>What We Offer:<ul><li>Competitive salary based on experience</li><li>Opportunity to work on cutting-edge AI products</li><li>Growth-focused and collaborative environment</li><li>Long-term career opportunities</li></ul>Location &amp; Timing: This is a strictly onsite position at our office in DHA Phase 2, Islamabad. Working hours are 6:00 PM to 2:00 AM.Job Type: Full-timePay: Rs70,000.00 per monthWork Location: In person

AI Engineer

Try Soft Ai

About Try Soft AITry Soft AI is a fast-growing technology company delivering AI-powered solutions, Voice AI systems, SaaS products, cybersecurity services, AI automation, and web/mobile development for global clients. We are expanding internationally and require a highly structured, data-driven International Recruiter with strong HR Operations expertise to support our global growth strategy.Job OverviewThe International Recruiter &ndash; HR Operations Specialist will lead global hiring initiatives across technical, AI/ML, SaaS, automation, cybersecurity, and B2B sales roles. This role combines strategic global talent acquisition with HR operational excellence, ensuring compliant, efficient, and scalable hiring processes across multiple regions.This position requires experience in remote hiring models, EOR partnerships, HR automation tools, compliance frameworks, and analytics-driven recruitment.NOTE: This is an Onsite Role based in DHA Phase 2, IslamabadTimings: 04:00 PM to 01:00 AM (Pakistan Time)Key Responsibilities1. Global Talent Acquisition<ul><li>Manage full-cycle international recruitment (sourcing to onboarding) across APAC, MENA, Europe, and North America.</li><li>Develop country-specific hiring strategies aligned with workforce planning and business objectives.</li><li>Source candidates using LinkedIn Recruiter, job boards, Boolean search, talent mapping, and global databases.</li><li>Conduct structured behavioral and competency-based interviews.</li><li>Coordinate technical assessments with hiring managers.</li><li>Negotiate international compensation packages aligned with local market benchmarks.</li></ul>2. HR Operations &amp; Compliance<ul><li>Ensure compliance with local labor laws, tax regulations, and employment standards across multiple jurisdictions.</li><li>Manage documentation for international contracts, NDAs, IP agreements, and data privacy (GDPR compliance).</li><li>Coordinate visa processing, work permits, and relocation processes where required.</li><li>Collaborate with EOR/PEO partners for compliant global employment models.</li><li>Maintain HR records in accordance with audit and regulatory requirements.</li></ul>3. HR Systems &amp; Process Management<ul><li>Administer and optimize ATS, HRIS, and payroll systems.</li><li>Design recruitment workflows, SLAs, and reporting dashboards.</li><li>Track recruitment KPIs: Time-to-Hire, Cost-per-Hire, Offer Acceptance Rate, Quality of Hire, and Diversity metrics.</li><li>Implement automation for recruitment and onboarding processes.</li><li>Conduct data-driven workforce analysis and generate hiring forecasts.</li></ul>4. Onboarding &amp; Employee Lifecycle Management<ul><li>Lead structured onboarding programs for international hires.</li><li>Manage background checks and reference verification processes.</li><li>Ensure seamless handover from recruitment to HR operations and payroll.</li><li>Support probation tracking, performance review cycles, and documentation.</li></ul>5. Stakeholder &amp; Vendor Management<ul><li>Partner with department heads to define hiring plans and workforce requirements.</li><li>Manage external recruitment agencies and international staffing partners.</li><li>Coordinate with legal, finance, and compliance teams for cross-border hiring.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Human Resources, Business Administration, or related field.</li><li>3&ndash;5 years of experience in international recruitment and HR operations.</li><li>Strong knowledge of global labor laws, employment contracts, and cross-border hiring compliance.</li><li>Hands-on experience with ATS (e.g., Greenhouse, Lever, Workday, BambooHR).</li><li>Experience working with EOR platforms such as Deel, Remote, or Oyster.</li><li>Proficiency in HR analytics and reporting tools (Excel advanced level, Power BI preferred).</li><li>Strong understanding of compensation benchmarking tools.</li><li>Excellent negotiation and stakeholder management skills.</li></ul>Preferred Skills<ul><li>Experience hiring for technical roles (AI/ML, SaaS, Software Engineering, Cybersecurity).</li><li>Knowledge of immigration and relocation processes.</li><li>HR certifications (SHRM, CIPD) are a plus.</li><li>Experience in startup or high-growth tech environment.</li></ul>Key Competencies<ul><li>Process Optimization &amp; Automation</li><li>Data-Driven Decision Making</li><li>Compliance &amp; Risk Mitigation</li><li>Cross-Cultural Communication</li><li>Workforce Planning &amp; Forecasting</li><li>Confidentiality &amp; Ethical HR Practices</li></ul>KPIs &amp; Performance Metrics<ul><li>Time-to-Fill and Time-to-Hire reduction</li><li>Offer Acceptance Rate</li><li>Hiring Manager Satisfaction Score</li><li>Recruitment Funnel Conversion Rates</li><li>Compliance Audit Success Rate</li><li>Onboarding Completion &amp; Retention Rate</li></ul>NOTE: This is an Onsite Role based in DHA Phase 2, IslamabadTimings: 04:00 PM to 01:00 AM (Pakistan Time)Pay: Rs70,000.00 - Rs150,000.00 per monthWork Location: In person

International Recruiter – HR Operations Specialist

Funavry Technologies

<div>
 
 
 The Role:
 
 We are seeking an experienced
 
 Security Architect with a strong DevSecOps mindset
 
 to lead security architecture, automation, and operational security
 
 for a blockchain-powered AI and Agentic infrastructure platform.
 
 
 
 This role goes beyond traditional security architecture and focuses
 
 on embedding security into the entire software development lifecycle
 
 , including
 
 CI/CD pipelines, AI model deployment, agentic AI systems, blockchain infrastructure, and cloud-native workloads.
 
 
 
 The Security Architect will design and implement
 
 secure-by-design development processes
 
 , protect
 
 AI agents and blockchain infrastructure
 
 , and ensure the platform achieves enterprise-grade security, resilience, and compliance.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 DevSecOps &amp; Secure Development
 
 
 <ul>
 <li>
 Design and implement DevSecOps frameworks integrating security controls directly into CI/CD pipelines.
 </li>
 <li>
 Implement automated security testing, including SAST, DAST, dependency scanning, and infrastructure scanning.
 </li>
 <li>
 Secure the software supply chain, including artifact signing, SBOM generation, container scanning, and integrity validation.
 </li>
 <li>
 Establish secure coding standards and practices across engineering teams.
 </li>
 <li>
 
 Blockchain Infrastructure Security
 
 </li>
 <li>
 Architect security for blockchain nodes, validators, and distributed network infrastructure.
 </li>
 <li>
 Implement secure key management systems, including HSM-based signing and validator protection.
 </li>
 <li>
 Design controls to protect consensus mechanisms, node infrastructure, and smart contract interaction layers.
 </li>
 <li>
 Lead smart contract and protocol-level security reviews in collaboration with blockchain engineers.
 </li>
 </ul>
 
 
 
 
 
 Agentic AI &amp; AI Workload Security
 
 
 <ul>
 <li>
 Design security controls for AI agents, autonomous workflows, and multi-agent systems.
 </li>
 <li>
 Protect against prompt injection, model manipulation, agent privilege escalation, and tool misuse.
 </li>
 <li>
 Implement safeguards for model integrity, inference security, and AI system trust boundaries.
 </li>
 <li>
 Define secure architecture for AI pipelines, training environments, and model deployment infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Kubernetes Security
 
 
 <ul>
 <li>
 Design and implement cloud-native security architecture across AWS infrastructure.
 </li>
 <li>
 Secure Kubernetes clusters, including workload isolation, pod security policies, runtime protection, and network segmentation.
 </li>
 <li>
 Implement zero-trust architecture, identity-based access controls, and secrets management.
 </li>
 <li>
 Enforce least-privilege IAM policies across cloud and internal systems.
 </li>
 </ul>
 
 
 
 
 
 Monitoring, Threat Detection &amp; Incident Response
 
 
 <ul>
 <li>
 Implement security monitoring frameworks for blockchain, AI, and cloud infrastructure.
 </li>
 <li>
 Build dashboards and alerting systems using Prometheus, Grafana, and security monitoring tools.
 </li>
 <li>
 Develop and maintain incident response playbooks for blockchain attacks, AI misuse, and infrastructure breaches.
 </li>
 <li>
 Conduct regular threat modeling, penetration testing, and security assessments.
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Security Leadership
 
 
 <ul>
 <li>
 Work closely with AI engineers, blockchain architects, DevOps teams, and product leadership to embed security throughout the platform lifecycle.
 </li>
 <li>
 Provide guidance on security architecture for new product features and AI capabilities.
 </li>
 </ul>
 
 
 
 
 
 Basic Qualifications:
 
 We are seeking a senior security professional with strong DevSecOps experience and expertise in securing modern distributed systems.
 
 
 
 
 
 
 Required experience:
 
 
 <ul>
 <li>
 8+ years of experience in cybersecurity
 </li>
 <li>
 3+ years in security architecture or DevSecOps leadership roles
 </li>
 </ul>
 
 
 
 
 
 Technical expertise:
 
 
 <ul>
 <li>
 Strong experience implementing DevSecOps practices and secure CI/CD pipelines
 </li>
 <li>
 Deep knowledge of cloud security (AWS preferred) including IAM, audit logging, and infrastructure security
 </li>
 <li>
 Experience securing blockchain infrastructure, including validator nodes, key management, and decentralized architectures
 </li>
 <li>
 Understanding of cryptography, PKI, distributed trust models, and blockchain security principles
 </li>
 <li>
 Expertise in Kubernetes and container security
 </li>
 <li>
 Experience with software supply chain security and artifact integrity
 </li>
 <li>
 Familiarity with AI/ML system security, including model integrity and inference environments
 </li>
 <li>
 Understanding of AI/LLM security risks, including prompt injection and agent misuse
 </li>
 <li>
 Proficiency in automation and scripting using Python, Go, or Rust
 </li>
 </ul>
 
 
 
 
 
 Educational Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Cybersecurity, or Information Security.
 </li>
 <li>
 Certifications such as CISSP, CISM, CKA/CKS, AWS Security Specialty, DevSecOPs certifications are a strong plus.
 </li>
 </ul>
 
 
 
 
 
 Important Note:
 
 Clearly indicate the job title
 
 &ldquo;Security Architect&rdquo;
 
 in your job application. Our hiring process is extremely competitive, and we will only respond to shortlisted candidates. We offer industry-leading compensation and a world-class work environment.
 
</div>

Security Architect

Try Soft AI is looking for a highly skilled AI Engineer with strong experience in AI Automation and Generative AI technologies to join our growing engineering team. The ideal candidate will have hands-on experience building AI-powered automation systems, AI agents, and voice AI solutions.Location: DHA Phase 2, Islamabad, Pakistan Job Type: Full-Time (Onsite) Working Hours: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time) Department: Artificial Intelligence / Automation EngineeringAbout the RoleWe are looking for a highly skilled AI Engineer with strong experience in AI Automation, LLM integrations, and workflow automation. The ideal candidate will design, develop, and deploy intelligent systems that automate business processes using AI models, APIs, and automation platforms.This role requires deep expertise in Generative AI, AI agents, API integrations, and automation pipelines. The engineer will work closely with product, engineering, and operations teams to build scalable AI-powered automation solutions for internal and client-facing applications.Key ResponsibilitiesAI Automation Development<ul><li>Design and develop AI-powered automation systems that streamline business workflows and operational processes.</li><li>Build AI agents, voice agents, and conversational assistants using LLMs and AI APIs.</li><li>Implement AI-driven automation pipelines for tasks such as lead qualification, customer support, appointment booking, and data processing.</li><li>Integrate AI models into production environments using APIs and microservices architecture.</li></ul>Generative AI &amp; LLM Implementation<ul><li>Develop applications using Large Language Models (LLMs) such as OpenAI GPT models, Claude, or similar AI platforms.</li><li>Design prompt engineering strategies to optimize LLM performance.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.</li><li>Build AI copilots, chatbots, and decision support systems.</li></ul>Automation &amp; Integration<ul><li>Develop advanced automation workflows using tools such as:</li><li>Make.com</li><li>Zapier</li><li>n8n</li><li>LangChain</li><li>LlamaIndex</li><li>Integrate AI systems with:</li><li>CRM platforms</li><li>Databases</li><li>SaaS products</li><li>Web applications</li><li>Third-party APIs</li></ul>Voice AI &amp; Conversational Systems<ul><li>Develop AI voice agents and voice-based automation systems.</li><li>Integrate platforms such as:</li><li>Vapi.ai</li><li>Twilio</li><li>ElevenLabs</li><li>Speech-to-Text and Text-to-Speech engines</li><li>Implement real-time conversational AI systems for customer interactions.</li></ul>Backend Development &amp; API Engineering<ul><li>Design and implement RESTful APIs and AI microservices.</li><li>Integrate AI services into web and mobile applications.</li><li>Ensure scalability, reliability, and security of AI automation systems.</li></ul>Data &amp; Model Integration<ul><li>Work with structured and unstructured data sources.</li><li>Implement vector search and embeddings using vector databases such as:</li><li>Pinecone</li><li>Weaviate</li><li>FAISS</li><li>ChromaDB</li><li>Optimize AI models for performance and cost efficiency.</li></ul>Monitoring &amp; Optimization<ul><li>Monitor AI system performance and improve model outputs.</li><li>Implement logging, error handling, and retry mechanisms for automation workflows.</li><li>Continuously optimize AI workflows for accuracy, reliability, and efficiency.</li></ul>Required Technical SkillsProgramming Languages<ul><li>Python (Highly preferred)</li><li>JavaScript / Node.js</li><li>TypeScript</li></ul>AI &amp; Machine Learning<ul><li>Generative AI</li><li>LLM Applications</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>AI Agents &amp; Autonomous Workflows</li></ul>AI Frameworks<ul><li>LangChain</li><li>LlamaIndex</li><li>OpenAI API</li><li>HuggingFace</li><li>Transformers</li></ul>Automation Platforms<ul><li>Make.com</li><li>Zapier</li><li>n8n</li><li>Custom automation frameworks</li></ul>Voice AI Technologies<ul><li>Vapi.ai</li><li>Twilio Voice / SMS APIs</li><li>ElevenLabs</li><li>Speech-to-Text &amp; Text-to-Speech systems</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Redis</li><li>Vector Databases (Pinecone, Weaviate, FAISS, Chroma)</li></ul>Cloud Platforms<ul><li>AWS / GCP / Azure</li><li>Docker</li><li>Serverless architectures</li></ul>Other Technical Skills<ul><li>REST APIs &amp; Webhooks</li><li>OAuth &amp; API authentication</li><li>Git / Version Control</li><li>CI/CD pipelines</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.</li><li>3+ years of experience in software development with exposure to AI technologies.</li><li>1&ndash;2+ years of hands-on experience building AI automation solutions.</li><li>Experience deploying AI-powered applications in production environments.</li><li>Excellent communication and collaboration skills. (MUST)</li></ul>Preferred Experience<ul><li>Experience building AI voice assistants or AI call agents.</li><li>Experience working with SaaS automation products.</li><li>Experience integrating AI systems with CRM platforms.</li><li>Experience in startup or fast-paced product environments.</li><li>Knowledge of AI security, privacy, and model governance.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to design scalable automation architectures.</li><li>Excellent communication and collaboration skills. (MUST)</li><li>Ability to work independently during night shift operations.</li></ul>Work Environment<ul><li>Onsite role based in DHA Phase 2, Islamabad.</li><li>Night shift: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time).</li><li>Opportunity to work on cutting-edge AI automation and voice AI technologies.</li></ul>Work Location: In person

AI Engineer – AI Automation (Night Shift)

Cplus Soft (Pvt) Ltd

Job OverviewCplusoft is looking for a results-driven Technical Sales Manager to generate new business, close deals, and grow revenue. The ideal candidate must have proven experience in closing clients through Upwork and direct outreach.Key ResponsibilitiesClient Acquisition &amp; Business Growth<ul><li>Generate and close new business through Upwork, referrals, LinkedIn, and professional networks.</li><li>Understand client requirements and propose suitable Cplusoft services (web, mobile, AI, custom software).</li><li>Conduct discovery calls, define project scope, finalize pricing, and negotiate contracts.</li><li>Convert leads into long-term clients through professional communication and trust-building.</li><li>Work with management to ensure profitable pricing and revenue targets are achieved.</li></ul>Pre-Sales &amp; Proposal Management<ul><li>Coordinate with the technical team to prepare proposals, cost estimates, and timelines.</li><li>Convert client discussions into clear project scopes and deliverables.</li><li>Lead client presentations, demos, and proposal walkthroughs.</li><li>Ensure timely submission of high-quality proposals on Upwork and direct client platforms.</li></ul>Client Coordination &amp; Account Management<ul><li>Act as the main commercial contact between clients and internal teams.</li><li>Ensure smooth handover from sales to project execution.</li><li>Monitor ongoing projects from a sales perspective and identify upselling opportunities.</li><li>Maintain strong relationships to secure repeat business.</li></ul>Sales Reporting &amp; Strategy<ul><li>Maintain sales pipeline and track lead conversion.</li><li>Provide weekly updates on leads, deals, and revenue forecasts.</li><li>Identify market trends and suggest new service opportunities for Cplusoft.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in IT, Computer Science, Software Engineering, or Business.</li><li>3&ndash;5 years of experience in IT services sales or technical sales.</li><li>Proven experience closing clients on Upwork or similar platforms.</li><li>Strong understanding of software development lifecycle (SDLC).</li><li>Excellent communication, negotiation, and presentation skills.</li><li>Ability to manage multiple clients and opportunities simultaneously.</li></ul>Good to Have<ul><li>Exposure to AI/ML or emerging technology projects.</li><li>Experience using CRM and project management tools (Jira, Trello, ClickUp, MS Teams).</li><li>Experience working with international clients.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your current and expected salary?</li><li>Can you join on an immediate basis? </li></ul>Work Location: In person

Technical Sales Manager

Explore 412+ Ai ml automation consultant project based in Islamabad this March. Find roles across top companies and apply now to boost your career.