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Telenor

<div><p><b>Position</b> <b>Title: Senior AI Engineer</b></p><p><b>
Reporting to: Director Automation Hub</b></p><p><b>
Job Group: 2/3</b></p><p><b>
Location: Islamabad</b></p><p><b>
Division: Telenor Shared Services Pakistan</b></p><p><b>
Department: Automation Hub</b></p><p><b>
Unit: Finance &amp; Procurement Tribe</b></p><p><b>
About Telenor Shared Services Pakistan</b></p><p>
Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance &amp; Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.</p><p><b>
Position Related</b></p><p>
We are seeking a Senior AI Engineer with strong expertise in designing, building, and deploying secure and scalable AI solutions within enterprise environments. This role requires a unique blend of technical depth, business understanding, and the ability to translate complex AI concepts into practical, value-driven outcomes.</p><p>
The ideal candidate will have a strong background in AI engineering, experience with LLMs and RAG architecture, AI Ops and the ability to collaborate across teams to deliver high-impact AI solutions.</p><p><b>
Goals</b></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Design and deploy enterprise-scale LLM and AI solutions for NLP/ML, conversational AI, automation and agentic workflows.</p></li><li><p>
Build and optimize RAG pipelines using enterprise data sources with security and compliance as core principles.</p></li><li><p>
Develop and manage distributed training, fine-tuning, and inference systems optimized for large-scale workloads on cloud environments.</p></li><li><p>
Integrate AI models into enterprise workflows, APIs, microservices, and cloud platforms.</p></li><li><p>
Implement AIOps best practices for continuous integration, deployment, monitoring, governance, and lifecycle management of AI models.</p></li><li><p>
Ensure responsible AI usage, including explainability, bias mitigation, security, and auditability.</p></li></ul><ul><li><p>
Work closely with cross functional/technical teams to align AI solutions with business priorities,</p></li><li><p>
Translate functional requirements and communicate complex AI concepts clearly to technical and non-technical stakeholders.</p></li></ul><p><b>
Note: Above goals and job descriptions are indicative and subject to change</b></p><p><b>
Experience &amp; Qualification</b></p><ul><li><p>
Bachelor&rsquo;s or master&rsquo;s in computer science, Software Engineering, AI/ML, Data Science, or a related field.</p></li><li><p>
7+ years of experience in AI/ML engineering or software engineering.</p></li><li><p>
At least 2&ndash;3 years of experience with LLM-based AI solutions in enterprise environments.</p></li><li><p>
Demonstrated ability to manage end-to-end delivery, including requirement gathering, solution design, implementation, and stakeholder communication.</p></li></ul><p><b>
Required Technical Skills</b></p><ul><li><p>
Strong proficiency in Python, clean architecture, and production-grade API development.</p></li><li><p>
Deep experience with LLM frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar orchestration and agent frameworks.</p></li><li><p>
Experience with RAG systems, vector databases, and similarity search technologies.</p></li><li><p>
Expertise in model optimization: parameter-efficient tuning, quantization, mixed-precision, distributed parallelism.</p></li><li><p>
Experience deploying and scaling AI inference using optimized serving frameworks.</p></li><li><p>
Experience building multi-agent systems using agent orchestration tools.</p></li></ul><p><b>
Functional &amp; Behavioral Skills</b></p><ul><li><p>
Service-minded, open-minded, culturally aware.</p></li><li><p>
Highly structured, focused, and able to prioritize effectively.</p></li><li><p>
Innovative, curious, and a strategic thinker.</p></li><li><p>
Strong analytical and problem-solving abilities.</p></li><li><p>
Team-oriented with the ability to foster collaboration and psychological safety.</p></li><li><p>
Adaptable, proactive and comfortable working under strict deadlines.</p></li></ul><p><b>
Potential Career Path</b></p><ul><li><p>
Progression to Senior Manager/ Director roles AI and Data positions.</p></li></ul></div>

Senior AI Engineer

Cloudelligent

<div><p>Position Title: Sr. AWS AI Engineer<br>
Location: Islamabad<br>
Job Timings: 6pm-3am Pakistan Time (PKT)<br>
<br>
<b>About Cloudelligent</b><br>
<br>
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.<br>
<br>
<b>Job Objective</b><br>
<br>
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul><b>
Requirements:</b><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul><b>
Good to Have:</b><ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul><b>
Highly Desirable:</b><ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul><p><br>
</p><p></p><p>
</p><p>Eddu0LEAtX</p></div>

Sr. AWS AI Engineer

ZZ-Technologies, islamabad

<p><b>Job Summary:</b></p><p>We are seeking a skilled and innovative <b>AI Engineer</b> to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.</p><p><b>Responsibilities:</b></p><p><b>LLM Development &amp; Fine-Tuning</b></p><ul><li>Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.</li><li>Implement advanced training strategies including <b>LoRA</b>, <b>QLoRA</b>, <b>PEFT</b>, and parameter-efficient adaptation methods.</li><li>Manage dataset preprocessing, curation, augmentation, and experiment tracking.</li><li>Optimize models for quality, latency, and memory efficiency across training and inference.</li></ul><p><b>GPU-Based Training &amp; Optimization</b></p><ul><li>Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).</li><li>Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).</li><li>Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.</li></ul><p><b>Model Serving &amp; Infrastructure</b></p><ul><li>Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).</li><li>Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.</li><li>Build end-to-end pipelines for continuous training, evaluation, and automated deployment.</li></ul><p><b>Research, Experimentation &amp; Innovation</b></p><ul><li>Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.</li><li>Run experiments, benchmark models, and propose architectural or training improvements.</li><li>Prototype new capabilities and develop internal best practices for LLM workflows.</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>Work closely with product, engineering, and data teams to translate requirements into model behaviors.</li><li>Mentor junior engineers and contribute to technical design reviews and architecture decisions.</li><li>Communicate model performance, limitations, and trade-offs clearly to stakeholders</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field.</li><li>Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).</li><li>Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.</li><li>Strong problem-solving skills and ability to work on complex, data-driven problems.</li><li>Ability to work collaboratively in a team-oriented environment.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience deploying AI models in production environments.</li><li>Knowledge of LLMs (Large Language Models) and prompt engineering.</li><li>Background in data engineering or backend development.</li><li>Research experience or publications in AI/ML fields.</li></ul><p>You can share your cv on whtsapp as well. 03355707047</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs500,000.00 per month</p><p>Work Location: In person</p>

NUST

<div></div><p><div><div><div><div><div><div><div><div>Last Date: Sunday, January 4, 2026<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Detail<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Ref #: </div><div>Job/5986/12/23/2025
 </div></div><br>
<div><div>Age Limit: </div><div>25<li></li>45
</div></div><br>
<div><div>Experience:
</div></div><br>
<div></div><div><div>Posted Date: </div><div>Tuesday, December 23, 2025
</div></div><br>
<div><div>Salary: </div><div>Market Competitive<br>
</div></div><br>
<div></div><br>
<br>
<br>
<div><div><div><div><div><div><div><b>Job Description:
</b></div></div><br>
<div><div><div><b>Qualification:</b></div><div><br>
</div><ul><li>BS degree in Computer Science, Software Engineering, or Computer Engineering from an HEC recognized University.</li></ul><div><br>
</div><div><b>Experience:</b></div><div><br>
</div><ul><li>3 to 4 years of hands-on experience building and shipping AI systems in production.</li></ul>
<ul><li>Hands-on experience training and fine-tuning LLMs, including LoRA-based fine-tuning.</li></ul>
<ul><li>Proven experience building RAG pipelines (chunking, embeddings, retrieval, reranking, grounding, and evaluation,</li></ul>
<ul><li>Experience building agentic systems using LangChain and LangGraph, deploying models locally on GPUs using vLLM and/or Ollama, Ray and Kubernetes for scalable serving &amp; operations and building real-time voice agents using LiveKit.</li></ul>
<ul><li>Experience with automated evaluation and benchmarking for LLM, RAG, and agent workflows.</li></ul>
<ul><li>Experience implementing guardrails and secure tool execution patterns.</li></ul><div><br>
</div><div><b>Key Responsibilities:</b></div><div><br>
</div><ul><li>Train and fine-tune LLMs for task performance and alignment using SFT and alignment methods (RLHF, PPO, GRPO), and validate with robust evaluation practices.</li></ul>
<ul><li>Build production-grade RAG systems including ingestion, chunking, embedding, vector search, reranking, grounding, and evaluation to reduce hallucinations.</li></ul>
<ul><li>Develop agentic AI workflows using LangChain and LangGraph, including tool calling, multi-step planning, memory, guardrails, and observability.</li></ul>
<ul><li>Deploy and serve models locally on GPUs using vLLM and Ollama, optimizing throughput, latency, batching, and KV cache behavior.</li></ul>
<ul><li>Productionize distributed inference and services using Ray and Kubernetes (deployments, autoscaling, rolling updates, reliability).</li></ul>
<ul><li>Build end-to-end voice agents using LiveKit (streaming STT, LLM orchestration, TTS, turn-taking, and real-time session handling).</li></ul>
<ul><li>Collaborate with product and engineering teams to define requirements, success metrics, and deliver production-ready features with documentation and tests.</li></ul><div><br>
</div><div><div><b>Knowledge/Skills/Abilities:</b></div><div><br>
</div><ul><li>Strong Python skills with practical experience in PyTorch and modern LLM tooling.</li></ul>
<ul><li>Familiarity with distributed GPU inference concepts (tensor parallelism, caching, throughput tuning).</li></ul>
<ul><li>Working knowledge of CI/CD, monitoring, logging, and tracing for AI services.</li></ul>
<ul><li>Working knowledge of alignment techniques and workflows such as RLHF, PPO, and GRPO.</li></ul></div><div><br>
</div>
<div></div><br>
<div><b>Terms &amp; Conditions:</b></div><div><br>
</div><ul><li>Candidates are required to attach scanned copies of their documents (Academics /Professional).</li></ul>
<ul><li>Last education certificate/degree must be attested/verified by HEC.</li></ul><div><br>
</div><div><b>Candidates may be considered ineligible for the post due to any of the following reasons:</b></div><div><br>
</div><ul><li>3rd Div in academic career / weak academic profile.</li></ul>
<ul><li>NUST employees with less than one year of service with NUST and / or absence of NOC from Head of Institution.</li></ul>
<ul><li>In process of pursuing a required degree.</li></ul>
<ul><li>Medically unfit.</li></ul>
<ul><li>Only selected candidates will be contacted and issued offer letter.</li></ul>
<ul><li>Candidates serving in Govt departments, Armed forces may apply through their respective parent department / organizations.</li></ul>
<ul><li>Late / incomplete applications will be ignored.</li></ul>
<ul><li>Only short-listed candidates will be considered / called for test / interview and no TA / DA will be admissible.</li></ul>
<ul><li><b>NUST reserves the right to cancel, modify / terminate the recruitment programme due to any reason, without notice, at any time.</b></li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></p><div></div>

Provox Global Solutions

<p><b>1. Application Development</b></p><ul><li>Develop, enhance, and maintain <b>Dialogflow / CCAI</b> solutions, including both structured Dialogflow agents and AI-enabled playbooks.</li><li>Design and implement backend services using <b>Node.js</b>, REST APIs, SQL, and JSON.</li><li>Develop frontend and middleware components using <b>HTML, JavaScript</b>, and UI/UX best practices.</li><li>Manage shared global variables and objects in <b>high-volume, high-concurrency applications</b>.</li><li>Implement secure authentication mechanisms including <b>JWT and OAuth</b>.</li></ul><p><b>2. Cloud &amp; DevOps</b></p><ul><li>Configure, manage, and optimize <b>GCP and Dialogflow environments</b>, including environment variables and migration strategies.</li><li>Set up and maintain <b>databases (MySQL / DBMS)</b> and integrate with reporting and analytics tools (e.g., Looker).</li><li>Implement and manage <b>CI/CD pipelines</b> using GitHub (or similar), ensuring modular, multi-developer friendly codebases.</li></ul><p><b>3. Testing &amp; Quality Assurance</b></p><ul><li>Monitor system behavior, errors, and performance metrics to drive <b>continuous improvement</b>.</li><li>Design and execute <b>automated testing</b> for web (OLS), backend, and voice-based systems, including regression and stress testing.</li><li>Implement Virtual Assistant testing using phone dialing appliances and recorded voice inputs.</li><li>Monitor and support integrations with third-party platforms such as <b>Dentrix, EzText, and phone number lookup services</b>.</li></ul><p><b>4. Business Operations &amp; Call Center Quality</b></p><ul><li>Analyze call flows to identify <b>no-match phrases, disconnects, and dead-end conversations</b>, and tune Dialog flow accordingly.</li><li>Implement monitoring solutions to detect and reduce <b>AI hallucinations</b>, ensuring grounded, coherent, and customer-friendly conversations.</li><li>Continuously improve <b>Virtual Assistant (VA)</b> performance to meet call center quality and operational standards.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Proven experience working in <b>Google Cloud Platform (GCP)</b> environments.</li><li>Strong expertise in <b>Dialogflow / CCAI</b> development and maintenance.</li><li>Proficiency in <b>Node.js</b>, REST APIs, SQL, and JSON.</li><li>Strong frontend development skills using <b>HTML and JavaScript</b>.</li><li>Experience managing secure, high-concurrency applications.</li><li>Hands-on experience with <b>JWT and OAuth authentication</b>.</li></ul><p><b>Preferred / Bonus Skills</b></p><ul><li>Experience with <b>AI / Gemini prompting</b> and <b>Vertex AI API integrations</b>, including fine-tuning models for Virtual Assistants or contact center support.</li><li>Experience building, customizing, or integrating <b>Speech-to-Text (STT)</b> models or third-party STT engines.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Application Question(s):</p><ul><li>Can you easily commute  to Naval Anchorage Islamabad?</li><li>This is an onsite role from 07PM to 04AM from Monday to Friday. Can you manage work schedule?</li></ul><p>Location:</p><ul><li>Islamabad (Required)</li></ul><p>Work Location: In person</p>

Junior AI Engineer

<div></div><p><div><div><div><div><div><div><div><div>Last Date: Sunday, January 4, 2026<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Detail<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Ref #: </div><div>Job/5985/12/23/2025
 </div></div><br>
<div><div>Age Limit: </div><div>25<li></li>45
</div></div><br>
<div><div>Experience:
</div></div><br>
<div></div><div><div>Posted Date: </div><div>Tuesday, December 23, 2025
</div></div><br>
<div><div>Salary: </div><div>Market Competitive<br>
</div></div><br>
<div></div><br>
<br>
<br>
<div><div><div><div><div><div><div><b>Job Description:
</b></div></div><br>
<div><div><div><b>Qualification :</b></div><div><br>
</div><ul><li>BS degree in Computer Science, Software Engineering, or Computer Engineering from an HEC recognized University.</li></ul><div><br>
</div><div><b>Experience:</b></div><div><br>
</div><ul><li>Hands-on experience with databases (writing queries, designing basic schemas, working with ORMs or database clients).</li></ul>
<ul><li>Practical experience in prompt engineering, and using AI coding tools for software development (for example Cursor, Claude Coding).</li></ul>
<ul><li>Experience using Git (commits, branches, pull requests, resolving merge conflicts).</li></ul>
<ul><li>Experience with Python and at least one backend framework (FastAPI, Django, Flask) or Node.js.</li></ul><div><br>
</div><div><b>Key Responsibilities:</b></div><div><br>
</div><ul><li>Assist in building and maintaining AI-powered applications, APIs, and internal tools.</li></ul>
<ul><li>Implement features using clean, maintainable code following standard software engineering practices.</li></ul>
<ul><li>Work with databases to store, query, and manage application data (SQL and/or NoSQL).</li></ul>
<ul><li>Support LLM-based workflows, including prompt engineering, tool usage, and basic agentic patterns under guidance.</li></ul>
<ul><li>Develop and iterate quickly using AI-assisted coding tools (Cursor, Claude Code) while following team standards and code review practices.</li></ul>
<ul><li>Write unit tests, debug issues, and improve performance and reliability.</li></ul>
<ul><li>Use Git for version control, branching, pull requests, and collaboration.</li></ul><div><br>
</div><div><div><b>Knowledge/Skills/Abilities:</b></div><div><br>
<b>
</b></div><ul><li>Projects involving LLM APIs, RAG, chatbots, or simple agent workflows.</li></ul>
<ul><li>Familiarity with Docker, Linux, and basic deployment concepts.</li></ul>
<ul><li>Exposure to REST APIs, authentication, and logging/monitoring basics.</li></ul>
<ul><li>Familiarity with OOP, data structures, and common software engineering practices (modular design, debugging, testing).</li></ul>
<ul><li>Basic understanding of LLMs and agentic AI concepts (tools, multi-step workflows, prompt structure).</li></ul></div><br>
<div><br>
</div><div><b>Terms &amp; Conditions:</b></div><div><br>
</div><ul><li>Candidates are required to attach scanned copies of their documents (Academics /Professional).</li></ul>
<ul><li>Last education certificate/degree must be attested/verified by HEC.</li></ul><div><br>
</div><div><b>Candidates may be considered ineligible for the post due to any of the following reasons:</b></div><div><br>
</div><ul><li>3rd Div in academic career / weak academic profile.</li></ul>
<ul><li>NUST employees with less than one year of service with NUST and / or absence of NOC from Head of Institution.</li></ul>
<ul><li>In process of pursuing a required degree.</li></ul>
<ul><li>Medically unfit.</li></ul>
<ul><li>Only selected candidates will be contacted and issued offer letter.</li></ul>
<ul><li>Candidates serving in Govt departments, Armed forces may apply through their respective parent department / organizations.</li></ul>
<ul><li>Late / incomplete applications will be ignored.</li></ul>
<ul><li>Only short-listed candidates will be considered / called for test / interview and no TA / DA will be admissible.</li></ul>
<ul><li><b>NUST reserves the right to cancel, modify / terminate the recruitment programme due to any reason, without notice, at any time.</b></li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></p><div></div>

Creativelogicx

<ul><li>Design machine learning systems</li><li>Research and implement machine learning algorithms and tools</li><li>Manage and direct research and development processes to meet the needs of our AI strategy</li><li>Develop machine learning applications in alignment with project requirements and business goals</li><li>Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems</li><li>Select appropriate datasets and data representation methods</li><li>2+ years of experience applying AI to practical uses</li><li>Experience with deep learning, NLP, and TensorFlow</li><li>Experience writing robust code in Python, Java, and/or R</li><li>Experience in REST API development, NoSQL database design, and RDBMS design and optimizations</li><li>Knowledge of basic algorithms and object-oriented and functional design principles</li><li>Knowledge of data structures, data modeling, and software architecture</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI/ML Engineer

Explore 206+ Ai engineer in Islamabad this January. Find roles across top companies and apply now to boost your career.

206 ai engineer jobs IN Islamabad

Senior AI Engineer

Sr. AWS AI Engineer

Senior AI Engineer

Senior AI Engineer

Junior AI Engineer

Junior AI Engineer

AI/ML Engineer