artificial intelligence specialist

NeXskill - Be Productive

<div>
 
 
 Job Title: Microsoft Certified AI Trainer
 
 
 
 
 Location:
 
 Garden Town (On-site)
 
 
 
 Job Type:
 
 Part-Time
 
 
 
 Job Overview:
 
 
 
 We are looking for a
 
 Microsoft Azure 900 Certified AI Trainer
 
 to join our team and deliver high-quality training . The ideal candidate should have strong expertise in Artificial Intelligence and hands-on experience with Microsoft Azure AI tools, along with a passion for teaching and mentoring students.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Deliver interactive training sessions on AI and Microsoft Azure (AI-900 level)
 </li>
 <li>
 Train students in AI concepts including Machine Learning, NLP, Computer Vision, and Prompt Engineering
 </li>
 <li>
 Prepare students for
 
 Microsoft Azure AI-900 Certification
 
 </li>
 <li>
 Conduct hands-on practical sessions and real-world projects
 </li>
 <li>
 Monitor student performance and guide them towards certification completion
 </li>
 <li>
 Support in curriculum improvement and training material development
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Must have
 
 Microsoft Azure AI-900 Certification
 
 (or higher)
 </li>
 <li>
 Strong knowledge of Artificial Intelligence and Azure AI services
 </li>
 <li>
 Prior teaching/training experience preferred
 </li>
 <li>
 Good communication and presentation skills
 </li>
 <li>
 Ability to handle batches and engage students effectively
 </li>
 </ul>
 
 
 
 
 
 How to Apply:
 
 
 
 Share your resume at talenthunt@nexskill.com
 
 
 or WhatsApp at
 
 +92 321 4453524
 
 
</div>

Microsoft Certified AI Trainer

CodeNinja

<div>About the Company 
CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan&rsquo;s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
About The Role
We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS &mdash; from pre-sales architecture through production deployment.
Key Responsibilities<ul><li>
Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS</li><li>
Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge</li><li>
Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs</li><li>
Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams</li><li>
Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices</li><li>
Serve as primary technical point of contact for clients during active engagements</li><li>
Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS</li><li>
Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices.</li></ul> 

Requirements 
<ul><li>
Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway</li><li>
Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures</li><li>
Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis</li><li>
Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS</li><li>
Proven background in the AWS partner ecosystem &mdash; prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm</li><li>
Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders</li><li>
Experience leading distributed engineering teams through full delivery lifecycles on AWS</li><li>
Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)</li></ul>
Why Join Us<ul><li>
Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.</li><li>
Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.</li><li>
Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.</li><li>
Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.</li></ul> 
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role 
Benefits 
<ul><li>
Provident Fund (PF): 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after 12 months of confirmation.</li></ul><ul><li>
Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.</li><li>
Life Insurance</li><li>
Performance-Based Increment</li><li>
32 Paid Leaves (Annual)</li><li>
Easy Loan Facility</li><li>
Company-Sponsored Trips</li><li>
Gym Passport Membership (Access To 250+ Gyms)</li></ul></div>

AWS AI/ML Practice Lead

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

Senior AI/ML Engineer

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

Skylinx Technologies

AI Engineer &ndash; Lahore (On-Site)We are hiring an in-house AI Engineer to join our Lahore-based engineering team. This role focuses on building and deploying AI-driven features for our custom platform, including data intelligence, competitive alerts, and user-facing AI interfaces. You will work closely with backend and product teams and have direct ownership of AI integrations and deployments.Key Responsibilities<ul><li>Work with existing machine learning models and large language models (LLMs).</li><li>Deploy and manage AI/ML models on private cloud or self-hosted infrastructure.</li><li>Integrate third-party AI tools and APIs (e.g., Groq, OpenAI, Hugging Face, vector databases).</li><li>Build data pipelines by connecting AI models with relational and NoSQL databases.</li><li>Design and implement competitive alerts, insights, and notifications from structured and unstructured data.</li><li>Develop APIs and basic interfaces to expose AI capabilities within the platform.</li><li>Optimize inference performance, cost, and scalability.</li><li>Ensure data security and privacy in AI workflows.</li><li>Collaborate closely with in-house backend, frontend, and product teams.</li></ul>Required Skills &amp; Qualifications<ul><li>2+ years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong proficiency in Python.</li><li>Hands-on experience with machine learning models, LLMs, or inference pipelines.</li><li>Experience deploying models on private cloud, VPS, or on-prem infrastructure.</li><li>Familiarity with third-party AI platforms and tools (e.g., Groq, OpenAI, Anthropic).</li><li>Experience working with databases (MySQL, PostgreSQL, MongoDB, etc.).</li><li>Ability to build and consume REST APIs.</li><li>Basic experience with interfaces or dashboards for AI-powered features.</li><li>Strong problem-solving skills and ability to work in an on-site team environment.</li></ul>Nice to Have<ul><li>Experience with RAG (Retrieval-Augmented Generation) systems.</li><li>Knowledge of alerting systems, recommendation engines, or analytics dashboards.</li><li>Familiarity with Docker, Kubernetes, or MLOps workflows.</li><li>Experience in SaaS or data-driven platforms.</li><li>Frontend exposure (React, Vue, or similar).</li></ul>What We Offer<ul><li>On-site role in Lahore with a collaborative engineering team.</li><li>Opportunity to build production-grade AI systems.</li><li>Competitive salary</li><li>Long-term growth and learning opportunities.</li><li>Direct impact on core product features.</li></ul>How to ApplyPlease share:<ul><li>Your updated resume</li><li>GitHub or project links (if available)</li><li>Short summary of AI or ML projects you&rsquo;ve worked on</li></ul>Work Location: In person

AI Engineer (In-House)

RANK ARROW (SMC-PRIVATE) LIMITED

Location: Garden Town (On-Site/Hybrid/Part-time) Timings: 9:00 AM &ndash; 6:00 PM (Flexible) Company: Rank Arrow &ndash; Marketing Agency Salary: Negotiable (Based on expertise &amp; results)We&rsquo;re hiring for a position as an AI Automation &amp; n8n Engineer at Rank Arrow &ndash; Marketing Agency.Requirements:<ul><li>Minimum 1+ year of professional experience in automation, workflow development, or system integrations</li><li>Ability to work independently and manage projects from start to finish</li><li>Strong analytical mindset with attention to detail</li><li>Fast learner with excellent problem-solving skills</li><li>Strong communication and collaboration skills</li></ul>Skills:<ul><li>Workflow design and automation building using n8n or similar platforms</li><li>API integrations, webhooks, and database connectivity</li><li>Building logic-based workflows, conditional paths, and error handling</li><li>Workflow testing, troubleshooting, and performance optimization</li><li>Ability to connect CRMs, forms, spreadsheets, email tools, and third-party applications</li><li>Documentation and process mapping skills</li><li>Knowledge of AI tools, AI agents, and AI-driven automation workflows</li><li>Experience with SaaS tools and advanced automation scenarios</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs100,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI automation and n8n: 1 year (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

AI Automation & n8n specialist | 1+ Years On-Site Experience

The Migration

<div>
 
 
 Function:
 
 Creative Production
 
 
 
 
 The role in one line:
 
 You own every video that LumaLabs/Glowv&eacute; puts out &mdash; from the script to the final cut &mdash; using AI generation tools, traditional editing, and a deep understanding of what makes skincare content stop the scroll.
 
 
 
 
 Context:
 
 This is a dedicated, focused role. One person. One job. Video. We are not looking for someone who does video on the side alongside other responsibilities. We need someone whose entire working day is producing high-quality video content for organic social and paid ads &mdash; and who has gone deep enough on AI video tools to use them at a professional level.
 
 
 
 
 What you'll own:
 
 
 
 
 
 AI Video Production
 
 
 
 <ul>
 <li>
 Use Higgsfield AI, Kling, Runway, or equivalent platforms to generate cinematic, UGC-style, and product-first video content
 
 </li>
 <li>
 Produce ad creatives in multiple formats &mdash; UGC style, talking head, before/after, product showcase, unboxing, routine videos
 
 </li>
 <li>
 Generate multiple hook variations for every concept so the marketing team always has options to test
 
 </li>
 <li>
 Stay current on which AI video platforms and models are producing the best output &mdash; the tools are evolving weekly
 
 </li>
 </ul>
 
 
 Scripting &amp; Hooks
 
 
 
 <ul>
 <li>
 Write scripts and hooks for every video before production begins
 
 </li>
 <li>
 Understand that the first 3 seconds determine everything &mdash; the hook is not an afterthought
 
 </li>
 <li>
 Adapt scripts for different formats &mdash; a 15-second ad hook is different from a 60-second educational Reel
 
 </li>
 <li>
 Brief on-camera talent or voiceover when needed
 
 </li>
 </ul>
 
 
 Video Editing
 
 
 
 <ul>
 <li>
 Edit AI-generated and filmed footage into polished final cuts using CapCut, Premiere Pro, or equivalent
 
 </li>
 <li>
 Add captions, transitions, sound design, trending audio, and text overlays
 
 </li>
 <li>
 Deliver platform-optimised cuts &mdash; 9:16 for Reels and TikTok, 1:1 for feed, 16:9 where needed
 
 </li>
 <li>
 Maintain LumaLabs/Glowv&eacute;'s visual consistency across every piece of content
 
 </li>
 </ul>
 
 
 Volume &amp; Speed
 
 
 
 <ul>
 <li>
 Minimum 4 organic video pieces per week for Instagram and TikTok
 
 </li>
 <li>
 Minimum 3 ad creative variations per campaign brief, delivered within 48 hours
 
 </li>
 <li>
 React to trends &mdash; when something is peaking, produce a reactive piece within 24 hours using AI generation speed
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 
 Must have:
 
 
 
 <ul>
 <li>
 Actively uses AI video generation tools daily &mdash; Higgsfield, Kling, Runway, or equivalent. Not just aware of them, fluent in them
 
 </li>
 <li>
 Strong video editing skills &mdash; CapCut at minimum, Premiere Pro or DaVinci Resolve preferred
 
 </li>
 <li>
 Can write a hook and script from scratch &mdash; understands pacing, tension, and what makes someone keep watching
 
 </li>
 <li>
 Has produced video content specifically for paid ads &mdash; knows the difference between a video that gets views and one that drives sales
 
 </li>
 <li>
 Portfolio must include AI-generated video content &mdash; not stock footage, not traditional filming only
 
 </li>
 <li>
 Understands platform differences &mdash; what works on TikTok vs Instagram Reels vs Facebook feed
 
 </li>
 </ul>
 
 
 Strong plus:
 
 
 
 <ul>
 <li>
 Has produced video content for a skincare, beauty, or lifestyle brand
 
 </li>
 <li>
 Familiar with Higgsfield specifically &mdash; can demo a workflow in the interview
 
 </li>
 <li>
 Has produced UGC-style video that has run as a paid ad
 
 </li>
 <li>
 Understands Meta ad creative best practices &mdash; aspect ratios, caption placement, CTA timing
 
 </li>
 <li>
 Has experience directing or briefing on-camera talent
 
 </li>
 </ul>
 
 
 What this role is not:
 
 This is not a photographer. This is not someone who makes static graphics in Canva. This is not a traditional videographer who relies on a camera and a studio. If your portfolio does not include AI-generated video &mdash; this is not the right role.
 
 
 
 
 
</div>

AI Video Content Creator

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