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ai engineer – ai automation (night shift) Jobs in Islamabad

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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

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description</h1>
Job Title: Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning) 
Project: Demand Planning ML Models Initiative 
Role Level: Expert / Principal (Hands-on, Delivery-Focused) 
Employment Type: Full-Time 
Experience: 7+ Years 
Job Location: Remote 
Job Timing: Vietnam Time Zone<h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking an Expert Data Scientist with deep hands-on experience in machine learning&ndash;based demand forecasting to support the ANZ Demand Planning ML Models initiative.
This role requires a senior practitioner capable of independently designing, developing, and delivering enterprise-grade demand forecasting models. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.<h1 class="jobSectionHeader"> 
Key Responsibilities</h1><h2 class="jobSectionHeader">
Demand Planning &amp; Forecasting (Core Focus)</h2><ul><li>
Lead the design, development, and optimization of ML-based demand forecasting models.</li><li>
Work extensively with time-series datasets related to sales, demand, and supply planning.</li><li>
Apply and optimize statistical forecasting techniques and machine learning algorithms.</li><li>
Perform advanced feature engineering incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</li><li>
Conduct back-testing, validation, and scenario analysis to continuously improve forecast accuracy.</li></ul><h2 class="jobSectionHeader"> 
Data Science Leadership &amp; Delivery</h2><ul><li>
Own the end-to-end data science lifecycle, from data exploration and model development to deployment support.</li><li>
Define, monitor, and optimize forecasting KPIs including MAPE, RMSE, and MAE.</li><li>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</li><li>
Clearly communicate model logic, assumptions, and insights to business and executive stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Collaboration &amp; Execution</h2><ul><li>
Collaborate closely with Data Engineers, Analytics teams, and business stakeholders to operationalize forecasting models.</li><li>
Support production deployment, monitoring, and model performance improvements.</li><li>
Drive knowledge sharing and best practices in forecasting and machine learning across teams.</li></ul><h1 class="jobSectionHeader"> 
Required Experience</h1><ul><li>
7+ years of experience in Data Science / Machine Learning.</li><li>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning.</li><li>
Proven experience delivering production-grade or business-critical forecasting models.</li><li>
Strong experience working with enterprise-scale time-series datasets.</li></ul><h1 class="jobSectionHeader"> 
Technical Skills</h1><ul><li>
Advanced Python for Data Science and Machine Learning.</li><li>
Strong expertise in time-series forecasting techniques (statistical and ML-based).</li><li>
Experience with machine learning models such as regression, tree-based models, and ensemble methods.</li><li>
Advanced feature engineering for demand and planning datasets.</li><li>
Strong SQL and data manipulation capabilities.</li><li>
Experience with forecast evaluation metrics (MAPE, RMSE, MAE).</li></ul><h1 class="jobSectionHeader"> 
Soft Skills</h1><ul><li>
Strong ownership and accountability mindset.</li><li>
Excellent analytical and problem-solving capabilities.</li><li>
Ability to communicate complex technical concepts to non-technical stakeholders.</li><li>
Comfortable working in fast-paced environments with tight delivery timelines.</li></ul>
qqORkdRfmR</div>

Expert Data Scientist

Try Soft Ai

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)

Impact Business Technologies

Job SummaryWe are looking for a Data Scientist who can analyze large and diverse datasets to extract meaningful insights and build data-driven solutions. The role involves working on multiple business problems including, but not limited to, marketing data analysis, user behavior analysis, operational analytics, and predictive modeling.The ideal candidate is curious, analytical, and capable of translating data into actionable business insights.Key Responsibilities<ul><li>Analyze structured and unstructured data from multiple sources</li><li>Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies</li><li>Build statistical and machine learning models for prediction, classification, and clustering</li><li>Clean, preprocess, and validate large datasets</li><li>Design and maintain dashboards and reports for business stakeholders</li><li>Work on marketing, product, operational, and business analytics use cases as required</li><li>Conduct A/B testing and experiment analysis</li><li>Collaborate with cross-functional teams to define data problems and deliver insights</li><li>Document models, assumptions, and findings clearly</li></ul>Required Skills &amp; QualificationsMust Have<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics or related field</li><li>Minimum 1 year of experience working as data scientist.</li><li>Strong proficiency in Python (Pandas, NumPy, Matplotlib/Seaborn)</li><li>Good understanding of statistics and probability</li><li>Experience with SQL and relational databases</li><li>Familiarity with machine learning algorithms (regression, classification, clustering)</li><li>Ability to interpret data and communicate insights clearly</li><li>Experience with Power BI / Tableau / Looker</li><li>Exposure to NLP or time-series analysis</li><li>knowledge of cloud platforms (AWS / Azure / GCP)</li><li>Experience working with APIs and large-scale datasets</li><li>Familiarity with data pipelines and ETL concepts</li></ul>Tools &amp; Technologies<ul><li>Python, SQL</li><li>Jupyter Notebook</li><li>Power BI / Tableau</li><li>Excel / Google Sheets</li><li>Git (version control)</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills</li><li>Ability to explain complex concepts in simple terms</li><li>Ownership mindset and attention to detail</li><li>Willingness to learn and work across different problem domains</li></ul>Job Type: Full-timePay: Rs170,000.00 - Rs175,000.00 per monthWork Location: In person

AI Desk Data Analyst

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
About the job
You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp, ONNX and similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack.
This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li></ul><ul><li>
Excellent programming skills in C++, experience in Javascript is a bonus</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

AI Inference Engineer QVAC (100% remote Worldwide)

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li></ul><ul><li>
Excellent programming skills in C++, experience in Javascript is a bonus</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Bonus points if:<ul><li>
You have experience with Javascript/Typescript</li><li>
You understand the difficulties, nuances and importance of p2p technology</li><li>
You have experience with any of Vulkan, Metal and OpenCL</li><li>
You have productionized models</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior AI Inference Engineer (100% Remote)

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)

Explore 140+ Machine learning engineer in Islamabad this March. Find roles across top companies and apply now to boost your career.