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PointofIT

We are looking for an experienced NLP focused AI Engineer to help us unlock insights from clinical notes, care plans, and patient documentation. The resource will work with transformer models and rule based techniques to enable AI driven personalized care, behavioral analysis, and nonadherence detection.Responsibilities<ul><li>Build NLP pipelines to extract symptoms, conditions, behaviors, and clinical context from Rx Referals</li><li>Build time-series models, survival analysis pipelines, and risk-scoring frameworks for transplant outcomes.</li><li>Implement algorithms to detect early signs of chronic rejection (e.g., BOS/CLAD stages)</li><li>Clean, preprocess, and engineer features from irregular, noisy clinical datasets.</li><li>Validate models using clinically meaningful metrics and ensure interpretability for medical decision support.</li><li>Experience working with lung transplant clinical registries i.e ISHLT Registry, UNOS / OPTN,ELTR,CIBMTR</li><li>Familiarity with pulmonary disease and spirometry registries i.e NHANES, COPDGene</li><li>Fine tune and deploy models like ClinicalBERT, BioBERT, or BlueBERT</li><li>Implement sectionizers, negation detection, and temporal classifiers using tools like MedSpaCy</li><li>Contribute to hybrid models that combine unstructured and structured patient data</li><li>Support generation of personalized care interventions</li><li>Collaborate with ML engineers, clinical analysts, and developers</li><li>Ensure compliance with healthcare standards (HIPAA)</li></ul>Required Skills<ul><li>3+ years of NLP/ML experience</li><li>Hands on experience with transformers and fine tuning pretrained models</li><li>Strong programming background in Python</li><li>Experience working with PyTorch/TensorFlow</li><li>Experience working with libraries like spaCy and Hugging Face Transformers</li><li>Understanding of context detection, classification, and named entity recognition</li><li>Deployment experience in Azure, AWS or GCP</li></ul>Nice To Have Skills<ul><li>Experience with healthcare chatbots</li><li>Prompt engineering or experience working with LLMs</li><li>Knowledge of early warning scores and risk stratification</li><li>Familiarity with clinical terminology and standards like ICD-10</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>Do you have 3+ years of hands-on experience in NLP/ML, including working with transformers and fine-tuning pretrained models?</li><li>Are you proficient in Python, with experience using frameworks like PyTorch/TensorFlow and libraries such as spaCy or Hugging Face Transformers?</li><li>Do you have experience deploying ML/NLP models on cloud platforms such as Azure, AWS, or GCP?</li></ul>Work Location: In person

AI Engineer (HealthCare)

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; AI Engineer (Islamabad Candidates Only)</h1>
Job Title: AI Engineer 
Job Grade: Manager 
Division: Information Technology 
Department: IT Development 
Location: Islamabad (On-site) 
Line Manager: Senior Software Engineer / AI Engineering Lead 
 
Note : Please read the JD carefully before Applying<h2 class="jobSectionHeader"> 
Position Summary</h2>
The AI Engineer will be responsible for designing, developing, and deploying AI-powered applications and intelligent systems that integrate seamlessly with Android, iOS, and web platforms. This role focuses on applied machine learning, automation, and data-driven enhancements to elevate customer experience and operational efficiency. The ideal candidate will possess strong proficiency in mobile development, backend engineering with Python, and web technologies, with the ability to build, test, and scale AI-driven solutions.<h2 class="jobSectionHeader"> 
Duties and Responsibilities</h2><ul><li>
Design, develop, and maintain AI-driven functionalities for mobile (Android/iOS) and web platforms.</li><li>
Collaborate with mobile, backend, UX/UI, product, and data teams to integrate AI modules such as recommendation engines, chatbots, fraud detection, and personalization systems.</li><li>
Develop machine learning models, perform data preprocessing, and deploy models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Write modular, maintainable, and scalable code using industry best practices (SOLID, Clean Architecture).</li><li>
Build APIs and microservices for AI features using Flask/FastAPI or Node.js.</li><li>
Work closely with UX/UI and product counterparts to translate data insights into intelligent user experiences.</li><li>
Conduct A/B tests, performance optimization, and real-world validation of AI models.</li><li>
Integrate AI components with cloud platforms such as AWS, GCP, or Azure, ensuring compliance with security and governance standards.</li><li>
Participate actively in code reviews, knowledge-sharing sessions, and agile ceremonies.</li><li>
Stay updated with emerging AI, ML, and GenAI tools, recommending innovative solutions for Easypaisa&rsquo;s digital products.</li><li>
Demonstrate Behaviors&mdash;Be Respectful, Keep Promises, Always Explore, Create Together&mdash;across all work activities.</li></ul><h2 class="jobSectionHeader"> 
Knowledge and Experience</h2><h3 class="jobSectionHeader">
Education:</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><h3 class="jobSectionHeader">
Experience:</h3><ul><li>
Minimum 4+ years in software development with hands-on exposure to AI/ML projects.</li><li>
Proven experience with Android/iOS development, Python, and modern web technologies</li></ul><h2 class="jobSectionHeader"> 
Behavioral Skills:</h2><ul><li>
Effective Communication</li><li>
Teamwork &amp; Collaboration</li><li>
Decision Making</li><li>
Accountability</li><li>
Learning Agility</li><li>
Analytical Problem Solving</li><li>
Innovation &amp; Creativity</li></ul><h2 class="jobSectionHeader"> 
Technical Competencies:</h2><ul><li>
AI/ML Development: Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Programming: Python, Swift, Kotlin, JavaScript/TypeScript</li><li>
Cloud &amp; DevOps: AWS/GCP, Docker, CI/CD</li><li>
Version Control: Git</li><li>
Data Engineering: Pandas, NumPy, SQL, data pipeline development</li><li>
Mobile &amp; Web Development: Android Studio, Xcode, React/Next.js, Flutter (optional)</li><li>
Backend &amp; APIs: REST, GraphQL, Flask/FastAPI, Node.js</li><li>
Security &amp; Compliance: Secure coding, data privacy frameworks</li></ul>
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AI Engineer

Datamatics Technologies

<div>
 
 Job Description &ndash; AI Engineer (Islamabad Candidates Only)
 
 
 
 Job Title:
 
 AI Engineer
 
 
 Job Grade:
 
 Manager
 
 
 Division:
 
 Information Technology
 
 
 Department:
 
 IT Development
 
 
 Location:
 
 
 Islamabad (On-site)
 
 
 
 Line Manager:
 
 Senior Software Engineer / AI Engineering Lead
 
 
 
 
 Note : Please read the JD carefully before Applying
 
 
 
 
 
 Position Summary
 
 
 The AI Engineer will be responsible for designing, developing, and deploying AI-powered applications and intelligent systems that integrate seamlessly with Android, iOS, and web platforms. This role focuses on applied machine learning, automation, and data-driven enhancements to elevate customer experience and operational efficiency. The ideal candidate will possess strong proficiency in mobile development, backend engineering with Python, and web technologies, with the ability to build, test, and scale AI-driven solutions.
 
 
 
 Duties and Responsibilities
 
 <ul>
 <li>
 
 Design, develop, and maintain AI-driven functionalities for mobile (Android/iOS) and web platforms.
 
 </li>
 <li>
 
 Collaborate with mobile, backend, UX/UI, product, and data teams to integrate AI modules such as recommendation engines, chatbots, fraud detection, and personalization systems.
 
 </li>
 <li>
 
 Develop machine learning models, perform data preprocessing, and deploy models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).
 
 </li>
 <li>
 
 Write modular, maintainable, and scalable code using industry best practices (SOLID, Clean Architecture).
 
 </li>
 <li>
 
 Build APIs and microservices for AI features using Flask/FastAPI or Node.js.
 
 </li>
 <li>
 
 Work closely with UX/UI and product counterparts to translate data insights into intelligent user experiences.
 
 </li>
 <li>
 
 Conduct A/B tests, performance optimization, and real-world validation of AI models.
 
 </li>
 <li>
 
 Integrate AI components with cloud platforms such as AWS, GCP, or Azure, ensuring compliance with security and governance standards.
 
 </li>
 <li>
 
 Participate actively in code reviews, knowledge-sharing sessions, and agile ceremonies.
 
 </li>
 <li>
 
 Stay updated with emerging AI, ML, and GenAI tools, recommending innovative solutions for Easypaisa&rsquo;s digital products.
 
 </li>
 <li>
 
 Demonstrate Behaviors&mdash;
 
 Be Respectful, Keep Promises, Always Explore, Create Together
 
 &mdash;across all work activities.
 
 
 </li>
 </ul>
 
 Knowledge and Experience
 
 
 Education:
 
 <ul>
 <li>
 
 BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.
 
 </li>
 </ul>
 
 Experience:
 
 <ul>
 <li>
 
 Minimum
 
 4
 
 
 + years
 
 in software development with hands-on exposure to AI/ML projects.
 
 </li>
 <li>
 
 Proven experience with
 
 Android/iOS development
 
 ,
 
 Python
 
 , and
 
 modern web technologies
 
 
 
 </li>
 </ul>
 
 Behavioral Skills:
 
 <ul>
 <li>
 
 Effective Communication
 
 </li>
 <li>
 
 Teamwork &amp; Collaboration
 
 </li>
 <li>
 
 Decision Making
 
 </li>
 <li>
 
 Accountability
 
 </li>
 <li>
 
 Learning Agility
 
 </li>
 <li>
 
 Analytical Problem Solving
 
 </li>
 <li>
 
 Innovation &amp; Creativity
 
 
 </li>
 </ul>
 
 Technical Competencies:
 
 <ul>
 <li>
 
 
 AI/ML Development:
 
 Flowise, PyTorch, OpenAI APIs, N8N
 
 </li>
 <li>
 
 
 Programming:
 
 Python, Swift, Kotlin, JavaScript/TypeScript
 
 </li>
 <li>
 
 
 Cloud &amp; DevOps:
 
 AWS/GCP, Docker, CI/CD
 
 </li>
 <li>
 
 
 Version Control:
 
 Git
 
 </li>
 <li>
 
 
 Data Engineering:
 
 Pandas, NumPy, SQL, data pipeline development
 
 </li>
 <li>
 
 
 Mobile &amp; Web Development:
 
 Android Studio, Xcode, React/Next.js, Flutter (optional)
 
 </li>
 <li>
 
 
 Backend &amp; APIs:
 
 REST, GraphQL, Flask/FastAPI, Node.js
 
 </li>
 <li>
 
 
 Security &amp; Compliance:
 
 Secure coding, data privacy frameworks
 
 </li>
 </ul>
</div>

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 Why Join Us?
 
 
 
 At Careem, you&rsquo;ll: - Work with one of the region&rsquo;s most advanced engineering platforms. - Solve real-world challenges at scale impacting millions of users. - Learn and grow with a high-performance team. Contribute to AI-integrated infrastructure that supports both traditional services and next-gen intelligent agents.
 
 
 
 About The Role
 
 
 
 As a SRE Engineer (L10) on the Storage &amp; Infrastructure team, you&rsquo;ll focus on building, scaling, and automating our core data services. You&rsquo;ll work with a range of distributed systems including MySQL, Postgres, Kafka, Cassandra, Redis, and OpenSearch, while also supporting emerging workloads like vector databases, embedding stores, and LLM query caches. This role blends operational excellence with an opportunity to support AI-driven use cases like retrieval-augmented generation (RAG), agent memory systems, and AI observability tooling.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Deploy, scale, and maintain cloud-native data systems on AWS.
 </li>
 <li>
 Automate storage operations using IaC (Terraform, Pulumi, etc.).
 </li>
 <li>
 Support AI-related infrastructure (e.g. Milvus, Weaviate, or Pinecone).
 </li>
 <li>
 Collaborate with ML engineers and platform teams to support LLM-powered services.
 </li>
 <li>
 Optimize and monitor performance across services using Prometheus, Grafana, OpenTelemetry, etc.
 </li>
 <li>
 Participate in on-call rotations and contribute to post-incident reviews.
 </li>
 <li>
 Help design secure, scalable environments that are AI-ready and cost-efficient.
 
 
 </li>
 </ul>
 
 You&rsquo;ll Thrive If You Have
 
 -
 
 
 <ul>
 <li>
 5&ndash;8 years of experience operating distributed systems at scale.
 </li>
 <li>
 Proficiency with one or more languages (e.g. Go, Python, Bash). - Strong understanding of cloud infrastructure (preferably AWS).
 </li>
 <li>
 Experience with IaC and CI/CD pipelines. - Familiarity with Kafka, Redis, Cassandra, or
 
 
 </li>
 </ul>
 similar systems.
 
 
 <ul>
 <li>
 Exposure to AI infrastructure (bonus): vector stores, model serving platforms (e.g. Ray, LangChain, LlamaIndex).
 </li>
 <li>
 Curiosity to learn about integrating infrastructure with AI agents and LLM-based applications.
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 A chance to help shape the future of AI-read
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Senior Site Reliability Engineer II

NorthBay Solutions

<div><h3 class="jobSectionHeader">Lead GenAI Engineer (Application Development)</h3>
Experience: 7&ndash;12+ years 
Location: Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan) 
Employment Type: Full-time<h4 class="jobSectionHeader">
About the Role</h4>
NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.<h4 class="jobSectionHeader">
Core Responsibilities</h4><ul><li>
Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of 8&ndash;12 engineers across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive technical decision-making across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader">
Technical Requirements</h4>
GenAI Leadership (3+ Years) &ndash; Primary<ul><li>
Proven experience in developing and deploying GenAI applications in production.</li><li>
Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.</li><li>
Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.</li><li>
Strong prompt engineering and Chain-of-Thought optimization capabilities.</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.</li><li>
Expertise in the AI/ML model lifecycle &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.</li></ul>
Application Development &amp; Architecture (7+ Years)<ul><li>
Strong background in full-stack development (MERN or equivalent stack).</li><li>
Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in API development (REST, GraphQL) and microservices architecture.</li><li>
Experience deploying solutions across on-premises, cloud, and hybrid environments.</li><li>
Kubernetes for container orchestration and deployment management.</li><li>
Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.</li></ul>
Cloud &amp; Infrastructure<ul><li>
Hands-on experience with AWS/Azure/GCP cloud environments and ML services.</li><li>
Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.</li><li>
Understanding of hybrid architecture design integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader">
Proven Delivery</h4><ul><li>
Successful delivery of 7+ enterprise or AI/ML-driven applications.</li><li>
Demonstrated leadership experience managing cross-functional technical teams.</li><li>
Ability to deliver high-quality, scalable, and secure solutions under tight timelines.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Cloud certifications (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent communication and leadership skills, capable of bridging business and technology.</li><li>
Experience working in Agile/Scrum environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader">
Ideal Candidate</h4>
A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.
2OWWNNGtq6</div>

Lead GenAI Engineer (Application Development)

Rapid Labs

About us:Rapid Labs is a dynamic leader in the AI revolution, dedicated to crafting groundbreaking solutions that redefine industries such as Retail, Healthcare, Legal, and Finance. With expertise in technologies like Computer Vision, Natural Language Processing, and AI-powered Chatbots, we aim to elevate user experiences and streamline business operations. Join us on our mission to leverage artificial intelligence for impactful change and a better tomorrow!Job Overview:We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and systems that will enhance our product offerings. This role requires a deep understanding of machine learning algorithms, data processing techniques, and software development.Key Responsibilities:<ul><li>Lead the design and implementation of machine learning models and algorithms.</li><li>Collaborate with data scientists, engineers, and product managers to integrate models into production systems.</li><li>Optimize and scale machine learning models for performance and reliability.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Stay up-to-date with the latest research and advancements in machine learning and AI.</li><li>Mentor junior engineers and contribute to the overall growth of the ML team.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>Minimum of 03 years of experience in machine learning, data science, or a related field.</li><li>Proficiency in programming languages such as Python</li><li>Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>Solid understanding of data structures, algorithms, and software engineering principles.</li><li>Expertise in model deployment and monitoring.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to work independently with minimal supervision.</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Blue Area IslamabadOffice Hours: 05:00 PM to 02:00 AM (Monday to Friday) Note: Please answer all the pre-screening questions; otherwise, your job application will be automatically rejected. Thank you!Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>How many days do you have to serve as notice period with your current employer?</li><li>Can you design a machine learning model that avoids overfitting without reducing accuracy?</li><li>Have you ever optimized a model&rsquo;s inference time by more than 30% through code or architecture changes? </li><li>Can you implement feature selection techniques using statistical or algorithmic methods (e.g., Chi-square, LASSO)? </li><li>Do you understand how to deploy ML models using Docker or cloud-based services? </li><li>Can you explain or calculate the time complexity of a custom algorithm you&rsquo;ve written? </li><li>Have you monitored model drift or used automated retraining pipelines in production? </li><li>How many end-to-end ML projects have you completed that included data preprocessing, model training, and deployment?</li><li>Can you debug and fix performance issues in large datasets exceeding 10 million rows? </li><li>9.	Have you ever implemented or fine-tuned a deep learning model using frameworks like TensorFlow or PyTorch? </li><li>Can you independently evaluate model performance metrics (e.g., precision, recall, F1-score, ROC-AUC) and interpret them accurately? </li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML: 3 years (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer - Onsite - Islamabad

Funprime technologies Pvt Ltd

Location: Gulberg Green, Islamabad Employment Type: Full-timeJob Description:We are seeking a highly skilled and motivated Senior AI Engineer to design, deploy, and optimize scalable AI systems across text, image, and video domains. The ideal candidate will have hands-on experience with both open-source and custom-trained models, manage on-premise and cloud-based infrastructure, and mentor junior engineers to build next-generation AI solutions.Key Responsibilities:<ul><li>Design, develop, and deploy advanced AI models for diverse applications.</li><li>Optimize model performance and scalability across GPU and serverless environments.</li><li>Manage infrastructure for AI workloads, both locally and on the cloud.</li><li>Collaborate with cross-functional engineering teams to integrate AI into production systems.</li><li>Provide technical leadership, guidance, and mentorship to junior developers.</li></ul>Requirements:<ul><li>Strong proficiency in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, etc.).</li><li>Hands-on experience with CUDA, Docker, and GPU-based deployments.</li><li>Familiarity with Large Language Models (LLMs), RAG architectures, and generative AI workflows.</li><li>Experience working with scalable or serverless architectures.</li><li>Basic understanding of Django or similar web frameworks.</li><li>Proven ability to lead, support, and mentor technical teams.</li></ul>Perks &amp; Benefits:<ul><li>Complimentary lunch facility.</li><li>In-house medical doctor available.</li><li>Annual company trips for all employees.</li><li>Eid gifts for all team members.</li><li>Annual Sports Fest.</li><li>Generous annual, sick, and casual leaves.</li></ul>Job Type: Full-timeWork Location: In person

Senior AI Engineer

Explore 219+ Ai engineer healthcare in Islamabad this November. Find roles across top companies and apply now to boost your career.

219 ai engineer healthcare jobs IN Islamabad

AI Engineer (HealthCare)

AI Engineer

AI Engineer

Senior Site Reliability Engineer II

Lead GenAI Engineer (Application Development)

Senior AI/ML Engineer - Onsite - Islamabad

Senior AI Engineer