sr. architect engineer

qa engineer

senior ai/ml engineer

senior sqa engineer

software engineer i

senior ai ml engineer

Webtronix

Job Summary: We are seeking a skilled and innovative Senior AI/ML Engineer to join our team and help design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience working with large-scale datasets. You&rsquo;ll work cross-functionally with data scientists, software engineers, and product teams to integrate AI/ML models into real-world applications.Responsibilities:<ul><li>Design, develop, and implement machine learning models and AI algorithms.</li><li>Collaborate with data scientists and domain experts to preprocess and analyze data.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Develop end-to-end pipelines for model training, validation, deployment, and monitoring.</li><li>Integrate machine learning solutions into production systems and applications.</li><li>Conduct model evaluation and tuning using metrics such as precision, recall, F1 score, and ROC AUC.</li><li>Maintain documentation for models, data pipelines, and experiments.</li><li>Stay updated with the latest AI/ML research and industry trends and apply best practices.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding of supervised, unsupervised, and deep learning techniques.</li><li>Experience with data preprocessing, feature engineering, and data visualization.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.</li><li>Experience working with large datasets and distributed computing frameworks (e.g., Spark).</li><li>Understanding of software engineering best practices: version control (Git), CI/CD, testing, etc</li></ul>Technical Skills:<ul><li>Experience with NLP, Computer Vision, or Time Series modeling.</li><li>Familiarity with Docker, Kubernetes, and model deployment frameworks like MLflow or SageMaker.</li><li>Contributions to open-source ML projects or research publications.</li><li>Experience with data annotation tools and techniques.</li></ul>Web-Tronix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

Senior AI/ML Engineer

Rapid Labs

Senior Machine Learrning EngineerRapid 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 during the night shift. 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, agentic-ai 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>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Mathematics, or a related field.</li><li>Experience: Minimum of 5 years of experience in machine learning, data science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python</li><li>Strong knowledge of machine learning frameworks</li><li>Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>Hands-on experience on agentic frameworks such as LangChain, LangGraph, and MCP servers.</li><li>LLM and Agentic Applications evaluation techniques and stacks</li><li>Solid understanding of data structures, algorithms, and software engineering principles.</li><li>Expertise in model deployment and monitoring.</li></ul>Soft Skills: Strong problem-solving and analytical skills.<ul><li>Excellent communication and teamwork abilities.</li><li>Ability to work independently with minimal supervision.</li><li>Adaptability to night shift working hours.</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>Company-sponsored courses for continuous learning and career growth</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) &ndash; US ShiftJob Type: Full-timeApplication Question(s):<ul><li>How many years of full-time professional experience do you have working as an AI/ML Engineer?</li><li>What is your current salary?</li><li>What is your expected salary?</li><li>How many days of notice period are you required to serve with your current employer?</li><li>Do you have hands-on experience deploying AI/ML models into production environments?</li><li>Have you used containerization or orchestration tools (e.g., Docker, Kubernetes) for ML model deployment?</li><li>Do you have experience deploying models on cloud platforms such as AWS, Azure, or GCP?</li><li>Have you managed the end-to-end lifecycle of an ML model (training, deployment, monitoring)?</li><li>Do you have experience with CI/CD pipelines for ML model deployment?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Location:<ul><li>Islamabad (Preferred)</li></ul>Work Location: In person

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Islamabad 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
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. 
 
Job Objective 
 
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. 
 
Responsibilities:<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>
Requirements:<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>
Good to Have:<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>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

2h4VJLw2ob</div>

Sr. AWS AI Engineer

<div>
 
 
 
 
 
 
 
 Position Title: Sr. AWS AI Engineer&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location: Islamabad&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Timings: 6pm-3am Pakistan Time (PKT)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 About Cloudelligent
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Objective
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 <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>
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 
 <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>
 
 
 
 
 
 
 
 Good to Have:
 
 
 
 
 
 
 
 <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>
 
 
 
 
 
 
 
 Highly Desirable:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).
 
 
 
 
 
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 
</div>

Value Engineering

Position: Senior Software Engineering Manager Location: On-Site, Bahria Phase 4 Civic Centre Experience Required: 10&ndash;12 years (with 5+ years in leadership/management) Employment Type: Full-timeAbout the RoleWe are seeking an experienced and visionary Senior Software Engineering Manager to lead our development teams in delivering cutting-edge AI/ML solutions. The ideal candidate will bring deep expertise in software engineering, strong leadership skills, and a proven track record of successfully driving AI/ML-driven product development and commercialization.Key Responsibilities<ul><li>Lead and manage a high-performing software development team, ensuring project delivery excellence.</li><li>Define and drive technical strategy and architecture for AI/ML products and platforms.</li><li>Collaborate with product, research, and business stakeholders to transform concepts into scalable solutions.</li><li>Oversee end-to-end software development lifecycle, ensuring best practices in coding, testing, and deployment.</li><li>Provide mentorship, guidance, and professional growth opportunities to engineering team members.</li><li>Ensure systems meet the highest standards of scalability, performance, and security.</li><li>Stay current with emerging technologies, frameworks, and industry trends to keep solutions innovative.</li></ul>Requirements<ul><li>10&ndash;12 years of progressive experience in software engineering, with at least 5 years in managing software development teams.</li><li>Bachelor&rsquo;s degree in Computer Science / Software Engineering (Master&rsquo;s preferred).</li><li>Proven track record of leading AI/ML-driven projects, product development, and commercialization.</li><li>Strong programming background in Python and familiarity with modern frameworks.</li><li>Hands-on experience with cloud ecosystems such as AWS, Azure, or GCP.</li><li>Strong understanding of system architecture, data pipelines, and enterprise solutions.</li><li>Excellent leadership, communication, and decision-making skills.</li></ul>Why Join Us?<ul><li>Opportunity to shape and lead innovative AI/ML initiatives.</li><li>Collaborative work culture with talented engineers and data scientists.</li><li>Competitive compensation and growth opportunities.</li><li>Exposure to cutting-edge technologies and large-scale projects.</li></ul>Job Type: Full-timeWork Location: In person

Chief Technology Officer

Maeme's Limited

We're Hiring: AI EngineerLocation: Islamabad, Pakistan (On-Site)Full-TimeMaeme&rsquo;s Piri Piri, a rapidly growing international food brand, is expanding its technological frontier by integrating intelligent systems into its operations. We're looking for visionary talent to join our Islamabad-based innovation team as AI Engineer. As an AI Engineer, you will design, develop, and deploy AI and machine learning models to build intelligent products and services.Responsibilities:&middot; Design and implement machine learning and deep learning models for various applications (e.g., NLP, computer vision, recommendation systems).&middot; Collaborate with cross-functional teams to gather requirements, design data pipelines, and integrate AI models into products.&middot; Conduct model training, tuning, and evaluation using large-scale datasets.&middot; Optimize models for performance, accuracy, and scalability in real-world environments.&middot; Stay up-to-date with the latest advancements in AI/ML technologies and apply them where relevant.&middot; Support the deployment and monitoring of models in production environments.&middot; Maintain clear documentation and contribute to internal knowledge sharing.Requirements:&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.&middot; Proven experience (2+ years preferred) building and deploying machine learning models in production.&middot; Strong proficiency in Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).&middot; Solid understanding of data structures, algorithms, and statistics.&middot; Experience working with large datasets, data preprocessing, and feature engineering.&middot; Familiarity with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes) is a plus.&middot; Excellent problem-solving skills and ability to work in a collaborative environment.&middot; Experience with LLMs (e.g., OpenAI, Hugging Face Transformers).&middot; Knowledge of MLOps practices and tools (e.g., MLflow, Airflow, Kubeflow).&middot; Background in reinforcement learning, generative models, or graph neural networks.Apply now: Send your Resume at&middot; E.mail: hhtechsolution01@gmail.com&middot; WhatsApp: +923174967217&middot; Inbox: www.linkedin.com/in/h-h-tech-solution-09722b321Job Type: Full-timeWork Location: In person

AI Engineer

AIO App Inc

<div>About the Role:
We are looking for a dedicated Software QA Engineer to join our team. Your primary role will be to assist with the creation and execution of automated and manual test cases for our software applications. You will work closely with our development and product teams to ensure the quality of our software products. 
What will be your responsibilities?
<ul><li>Validate AI/ML model outputs against ground-truth data, test cases and business requirements.</li><li>
Evaluate the correctness, relevance, fairness, and consistency of model predictions.</li><li>
Design test cases to handle exceptions, edge cases, and out-of-distribution data.</li><li>
Monitor latency, throughput, and memory usage of AI pipelines.</li><li>
Identify bottlenecks and collaborate with engineering teams to optimize performance.</li><li>
Conduct stress, load, and scalability testing for deployed AI systems.</li><li>
Develop manual and automated test suites for AI workflows, APIs, and endpoints.</li><li>
Test system resilience to invalid inputs, adversarial samples, and API failures.</li><li>
Ensure fallback mechanisms and graceful error handling are in place.</li><li>
Work closely with ML engineers, data scientists, and product managers to refine testing requirements.</li><li>
Document test cases, test results, and known limitations of models.</li>
Report quality metrics and purpose. 
<li>
 
</li></ul>What are we looking for, and what does it require to be the right fit for this role?
<ul><li>Bachelor's in Computer Science, AI, Data Science, or related field.</li><li>
Strong proficiency in Python and experience with testing frameworks (PyTest, unit test).</li><li>
6 months to 2 years of experience as an AI QA Engineer, ML/AI Tester.</li><li>
Experience with AI frameworks (TensorFlow, PyTorch, Hugging Face, etc.).</li><li>
Strong debugging, analytical, and problem-solving skills.</li><li>
Solid knowledge of SQL and working experience with relational databases (MySQL, PostgreSQL, etc.).</li><li>
Familiar with evaluation matrices for AI modelling techniques.</li></ul> 
Why Join AIO?
Our mission is to revolutionise the US restaurant industry by providing a comprehensive and fully integrated solution that empowers restaurant owners to efficiently manage all aspects of their businesses. Our platform, designed to meet the unique challenges (post-COVID-19) faced by restaurants, combines our patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins.
We believe that restaurants should be able to focus on delivering exceptional dining experiences to their customers, without the added stress of managing complex and disparate systems. That's why we offer an All-In-One super app platform for all of their needs, from front-of-the-house operations like ordering, payment, marketing and rewards, to back-of-the-house management like inventory, staff, and financials.
We are laser-focused on becoming a significant player in the $55 billion restaurant tech SaaS market. You will be a part of a world-class Silicon Valley-funded startup.</div>

Junior SQA Engineer - AI

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341 senior ai ml engineer jobs IN Islamabad

Senior AI/ML Engineer

Senior AI/ML Engineer

Sr. AWS AI Engineer

Sr. AWS AI Engineer

Chief Technology Officer

AI Engineer

Junior SQA Engineer - AI