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python engineer

Confiz

<div>
 The ideal candidate will be a Python expert with a primary focus AI/ML. They will also be responsible for maintaining existing applications and collaborating with cross-functional teams.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and optimize backend services and microservices using Python (FastAPI/Flask) following best practices for scalability, security, and maintainability.
 </li>
 <li>
 Build and maintain robust RESTful APIs, including authentication/authorization, rate limiting, logging, and monitoring.
 </li>
 <li>
 Architect and deploy cloud-native applications using AWS (Lambda, ECS/EKS, API Gateway, S3, CloudWatch, RDS/DynamoDB) or equivalent cloud platforms.
 </li>
 <li>
 Work with Docker/Kubernetes to containerize, orchestrate, and scale backend applications in production environments.
 </li>
 <li>
 Design efficient data models and integrate with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB).
 </li>
 <li>
 Implement CI/CD pipelines and automated deployments using GitHub Actions, GitLab, Azure DevOps, or similar tooling.
 </li>
 <li>
 Collaborate with product managers and engineering teams to integrate backend systems into enterprise workflows.
 </li>
 <li>
 Monitor and evaluate deployed services, improving performance, reliability, and cost efficiency based on metrics and user feedback.
 </li>
 <li>
 Document backend architecture, APIs, deployment processes, and operational guidelines for maintainability and reuse..
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Data Science, or a related field.
 </li>
 <li>
 5+ years of professional experience in backend engineering, with strong proficiency in Python.
 </li>
 <li>
 Hands-on experience with FastAPI or Flask, including API design, validation, middleware, and performance optimization.
 </li>
 <li>
 Strong understanding of AWS or similar cloud platforms, with experience deploying and running production-grade services.
 </li>
 <li>
 Proficiency in Python libraries commonly used in backend and data workflows (SQLAlchemy, Pydantic, boto3, openai, pandas, numpy).
 </li>
 <li>
 Familiarity with Docker, Kubernetes, and containerized deployments in cloud environments.
 </li>
 <li>
 Strong understanding of distributed systems, microservices, and asynchronous programming.
 </li>
 <li>
 Good problem-solving and analytical skills with a hands-on, ownership-driven mindset.
 </li>
 <li>
 Strong communication skills and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 Nice To Have - AI/ML Requirements
 
 
 
 <ul>
 <li>
 Exposure to transformers, embeddings, RAG, or LLM frameworks such as LangGraph, LangChain, or Autogen.
 </li>
 <li>
 Experience integrating AI/ML inference endpoints or 3rd-party AI services into backend systems.
 </li>
 <li>
 Experience with model fine-tuning or vector databases is a plus.
 </li>
 <li>
 Integrate AI/LLM-based components into backend services when required.
 </li>
 <li>
 Build and maintain basic RAG or vector-search pipelines that interface with text or image knowledge bases.
 </li>
 <li>
 Apply prompt engineering, model fine-tuning, or data preprocessing techniques when enhancing AI-powered features.
 </li>
 <li>
 Work with transformers, LLM APIs, or pretrained models as part of feature add-ons or experimental capabilities
 
 
 </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 
 
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM),
 
 ISO 14001:2015
 
 (EMS),
 
 ISO 45001:2018
 
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Backend Python Engineer

Healf

<div>
 
 Build the Future of Wellbeing
 
 
 
 
 Do Your Life&rsquo;s Best Work
 
 
 
 If modern wellbeing were redesigned from scratch, it wouldn&rsquo;t live in a GP&rsquo;s office or a cluttered supplement aisle. It would be digital-first, beautifully curated, and powered by data that actually helps you feel your best.
 
 
 That&rsquo;s what we&rsquo;re building at Healf. An ecommerce platform at the intersection of personalised health and curated wellbeing. We connect customers with the world&rsquo;s most effective products across EAT, MOVE, MIND, and SLEEP, and we&rsquo;re just getting started.
 
 
 We combine culture-shaping storytelling, cutting-edge health tech (like our new blood testing platform, Healf Zone), and a best-in-class product experience to help people build rituals that work.
 
 
 Backed by investors behind Soho House, Alo Yoga, Cult Beauty, and Innocent, we&rsquo;re scaling fast, and redefining how the world shops and lives well.
 
 
 
 About Us
 
 
 
 At Healf, we&rsquo;re not just a company, we&rsquo;re a movement. Founded by two brothers whose own wellbeing journeys inspired our mission to empower others, Healf is built on grit, determination, and a shared understanding of the power of wellbeing.
 
 
 Our culture is grounded in The Healf Standard&mdash;five principles that define how we work and win:
 
 
 <ul>
 <li>
 We Work Harder Than Anyone Else: Building something that improves lives takes long hours, grit, and sacrifice, but we thrive on it. We all feel energised by what we&rsquo;re building.
 </li>
 <li>
 Never Settle: We challenge the status quo and push ourselves to be better every day. We never settle for mediocrity or the idea that something can&rsquo;t be done.
 </li>
 <li>
 Obsession Over Talent: Talent alone isn&rsquo;t enough&mdash;relentless curiosity and a drive to grow set us apart.
 </li>
 <li>
 The Healf Lifestyle: We live what we preach&mdash;our personal commitment to wellbeing fuels our professional productivity.
 </li>
 <li>
 Stronger Together: Everyone owns their lane, but we run as a unit.
 
 
 </li>
 </ul>
 With Healf Zone on the horizon, we&rsquo;re entering the next phase of our journey: closing the loop on health with personalised, preventative care that unlocks longevity and optimised wellbeing. This is your chance to help build something that&rsquo;s not only extraordinary, but a first of its kind.
 
 
 
 The Role
 
 
 
 You&rsquo;ll play a key role in designing and scaling the backbone of our platform &mdash; building high-performance, asynchronous APIs and microservices in Python with FastAPI. From architecting resilient Postgres schemas and AWS infrastructure to implementing robust authentication, observability, and CI/CD pipelines, you&rsquo;ll shape how our systems perform, scale, and evolve. This is a hands-on opportunity to own critical backend services end-to-end, ensuring reliability, security, and impact at every layer.
 
 
 
 Where You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Build high-throughput, asynchronous APIs and microservices in Python with FastAPI.
 </li>
 <li>
 Design and evolve Postgres schemas, migrations, and performance tuning (query plans, indexes, connection pooling).
 </li>
 <li>
 Implement authentication/authorisation (OAuth2/JWT), input validation, rate-limiting, and robust error handling.
 </li>
 <li>
 Add observability for services: structured logging, tracing, metrics, and actionable dashboards/alerts.
 </li>
 <li>
 Design scalable, secure AWS infrastructure (ECS/EKS, Lambda, ElastiCache, S3, DynamoDB) using infrastructure-as-code preferably Pulumi.
 </li>
 <li>
 Ship via containerized CI/CD (GitHub Actions, ArgoCD) with automated tests, blue-green/canary deployments, and rollbacks.
 </li>
 <li>
 Collaborate with product and design to turn requirements into well-scoped, production-ready features; write clear docs and participate in code reviews.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 5+ years backend Python experience building production services and APIs.
 </li>
 <li>
 Mastery of async Python patterns (asyncio, uvicorn, pydantic v2) and strong typing discipline.
 </li>
 <li>
 Hands-on experience architecting cloud-native, horizontally scalable systems on AWS.
 </li>
 <li>
 Deep familiarity with Postgres (schema design, performance, resilience) and ORMs (e.g., SQLAlchemy or equivalent).
 </li>
 <li>
 Solid grounding in DevOps practices: IaC (Pulumi or Terraform), automated testing (pytest), security scanning, and performance profiling.
 
 
 </li>
 </ul>
 
 Nice to Have (Not Required):
 
 
 
 <ul>
 <li>
 Experience with FastAPI dependencies, background tasks, and websockets at scale.
 </li>
 <li>
 Caching and messaging (Redis/**ElastiCache**, SQS/SNS, Kafka).
 </li>
 <li>
 Exposure to LLM tooling (e.g., LangChain) and retrieval patterns (embeddings/RAG) useful but not required.
 </li>
 <li>
 Working knowledge of ML concepts and/or model training pipelines (bonus only).
 
 
 </li>
 </ul>
 Why Join Healf
 
 
 <ul>
 <li>
 Do your life&rsquo;s best work: Build something that matters, with a team that moves fast and aims high
 </li>
 <li>
 Surround yourself with A+ talent: You&rsquo;ll work with high-performers who care deeply and raise the standard every day
 </li>
 <li>
 Be a builder: This isn&rsquo;t a cog-in-the-machine role. You&rsquo;ll help shape our voice, culture, and growth
 </li>
 <li>
 Wellbeing is the lifestyle: From office yoga to Healf Zone insights, everything we do is rooted in our pillars: EAT MOVE MIND SLEEP
 </li>
 </ul>
</div>

Python Backend Engineer

Centrox AI

Location: Gulberg Greens, Islamabad Job Type: Full-timeJob SummaryWe are hiring an AI Engineer to design, build, and deploy machine learning solutions for real-world applications. The ideal candidate should be confident with ML/DL models, data pipelines, and production deployment practices.Key Responsibilities<ul><li>Develop and optimize machine learning and deep learning models.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.</li><li>Deploy AI models using APIs, cloud services, or containerized environments.</li><li>Build scalable AI pipelines and automate workflows (MLOps).</li><li>Work on NLP, computer vision, or LLM-based systems depending on project needs.</li><li>Collaborate with cross-functional teams (DevOps, Backend, Product).</li><li>Prepare documentation, reports, and model performance evaluations.</li></ul>Required Skills &amp; ToolsTechnical Skills<ul><li>Strong understanding of Machine Learning algorithms &amp; Deep Learning concepts.</li><li>Hands-on experience with: Python, TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy</li><li>Experience with NLP, Computer Vision, or LLMs (any specialization).</li><li>Practical knowledge of data pipelines, model training, fine-tuning, and evaluation.</li></ul>Tools &amp; Technologies<ul><li>Jupyter, Google Colab, or VS Code</li><li>Git / GitHub / GitLab</li><li>Docker (basic knowledge required)</li><li>Cloud platforms (AWS, Azure, GCP &ndash; basic experience is enough)</li><li>API Development (FastAPI or Flask)</li><li>Database basics (SQL, NoSQL)</li></ul>Experience Required<ul><li>1&ndash;3 years of experience in AI/ML Engineering</li><li>Strong internship + project portfolio (for fresh graduates)</li><li>Candidates with Kaggle, GitHub projects, hackathons, or published models/tools will be preferred.</li></ul>Preferred Qualifications <ul><li>Knowledge of MLOps tools (MLflow, DVC, Kubeflow).</li><li>Experience with LLM fine-tuning, embeddings, RAG pipelines, or vector databases.</li><li>Understanding of container orchestration (Kubernetes).</li><li>Any AI certifications (Coursera, Google, Udacity, etc.).</li></ul>What We Offer<ul><li>Competitive salary</li><li>Exposure to large-scale AI systems</li><li>Fast career growth opportunities</li><li>Mentorship from senior engineers</li><li>Friendly and learning-driven work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How soon you can join?</li><li>What would be your salary expectations for this role?</li></ul>Experience:<ul><li>AI Related: 1 year (Preferred)</li></ul>Work Location: In person

AI Engineer

<div>
 
 About The Role
 
 
 
 As a Python Developer - AI at AIO, you will play a key role in building and scaling our AI-powered backend systems. You will be responsible for developing high-performance FastAPI services, integrating LLMs into live production environments, and ensuring seamless collaboration across AI, front-end, and DevOps teams. This role will involve designing secure and scalable microservices, managing databases with SQLAlchemy, and applying best practices in testing, performance, and cloud deployment. You'll also contribute to the optimization of AI model deployments, monitor system health in production, and help shape innovative solutions that drive real business value for our customers in the US restaurant industry.
 
 
 
 What will be your responsibilities?
 
 
 
 <ul>
 <li>
 Design and develop high-performance FastAPI services using asynchronous patterns and clean architecture principles.
 </li>
 <li>
 Implement and maintain both microservice-based and monolithic applications as per module complexity and scalability needs.
 </li>
 <li>
 Integrate AI/LLM models with live backend systems to automate and optimize restaurant operations.
 </li>
 <li>
 Experience with backend distributed asynchronous processing through frameworks like Celery
 </li>
 <li>
 Build and manage database schemas using SQLAlchemy, ensuring consistency, speed, and security.
 </li>
 <li>
 Collaborate with AI, front-end, and DevOps teams to ensure smooth E2E system flows.
 </li>
 <li>
 Document and version APIs using Swagger/OpenAPI standards
 </li>
 <li>
 Stay current with Python, AI, and cloud-native advancements to drive innovation.
 </li>
 <li>
 Ensure AI solutions adhere to best practices in software engineering, including unit testing, integration testing, performance testing, and load testing.
 </li>
 <li>
 Participate in the design and optimization of microservices architectures and message broker systems to support AI model deployment.
 </li>
 <li>
 Implement data visualization, monitoring, and alerting tools to track AI model performance and system health in production.
 </li>
 <li>
 Apply security best practices for APIs and sensitive data handling (OAuth2, JWT, etc.).
 
 
 </li>
 </ul>
 
 What are we looking for, and what does it require to be the right fit for this role?
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, AI, or a related field.
 </li>
 <li>
 1-2 years of backend development experience in Python with AI integrations, including FastAPI
 </li>
 <li>
 Hands-on experience with LLMs (GPT-4, Claude, LLaMA, Mistral, Mixtral), and their APIs.
 </li>
 <li>
 Practical experience in integrating AI models or LLMs into production-grade APIs
 </li>
 <li>
 Expertise in cloud environments such as AWS with hands-on experience in services like Lambda/Serverless, SQS, S3, EC2 and ECS.
 </li>
 <li>
 Strong skills in Git for source control, code review, and repository management.
 </li>
 <li>
 Experience with containerization technologies like Docker and managing microservices architectures.
 </li>
 <li>
 Expertise in building highly distributed, eventually consistent AI systems.
 </li>
 <li>
 Familiarity with message broker systems and scalable data pipelines.
 </li>
 <li>
 Experience with data visualization, monitoring, and alerting tools to maintain production of AI models.
 </li>
 <li>
 Excellent knowledge of Relational Databases, SQL, and ORM technologies like SQLAlchemy, Redis, and queuing.
 
 
 </li>
 </ul>
 
 Why Join AIO?
 
 
 
 Our mission is to revolutionize 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>

Python Developer

AIO App Inc

<div>About the Role:
As a Python Developer - AI at AIO, you will play a key role in building and scaling our AI-powered backend systems. You will be responsible for developing high-performance FastAPI services, integrating LLMs into live production environments, and ensuring seamless collaboration across AI, front-end, and DevOps teams. This role will involve designing secure and scalable microservices, managing databases with SQLAlchemy, and applying best practices in testing, performance, and cloud deployment. You'll also contribute to the optimization of AI model deployments, monitor system health in production, and help shape innovative solutions that drive real business value for our customers in the US restaurant industry. 
What will be your responsibilities?
<ul><li>Design and develop high-performance FastAPI services using asynchronous patterns and clean architecture principles.</li><li>
Implement and maintain both microservice-based and monolithic applications as per module complexity and scalability needs.</li><li>
Integrate AI/LLM models with live backend systems to automate and optimize restaurant operations.</li><li>
Experience with backend distributed asynchronous processing through frameworks like Celery</li><li>
Build and manage database schemas using SQLAlchemy, ensuring consistency, speed, and security.</li><li>
Collaborate with AI, front-end, and DevOps teams to ensure smooth E2E system flows.</li><li>
Document and version APIs using Swagger/OpenAPI standards</li><li>
Stay current with Python, AI, and cloud-native advancements to drive innovation.</li><li>
Ensure AI solutions adhere to best practices in software engineering, including unit testing, integration testing, performance testing, and load testing.</li><li>
Participate in the design and optimization of microservices architectures and message broker systems to support AI model deployment.</li><li>
Implement data visualization, monitoring, and alerting tools to track AI model performance and system health in production.</li><li>
Apply security best practices for APIs and sensitive data handling (OAuth2, JWT, etc.).</li></ul>
What are we looking for, and what does it require to be the right fit for this role?
<ul><li>Bachelor's or master's degree in computer science, AI, or a related field. 
</li><li>
1-2 years of backend development experience in Python with AI integrations, including FastAPI 
</li><li>
Hands-on experience with LLMs (GPT-4, Claude, LLaMA, Mistral, Mixtral), and their APIs. 
</li><li>
Practical experience in integrating AI models or LLMs into production-grade APIs 
</li><li>
Expertise in cloud environments such as AWS with hands-on experience in services like Lambda/Serverless, SQS, S3, EC2 and ECS. 
</li><li>
Strong skills in Git for source control, code review, and repository management. 
</li><li>
Experience with containerization technologies like Docker and managing microservices architectures. 
</li><li>
Expertise in building highly distributed, eventually consistent AI systems. 
</li><li>
Familiarity with message broker systems and scalable data pipelines. 
</li><li>
Experience with data visualization, monitoring, and alerting tools to maintain production of AI models. 
</li><li>
Excellent knowledge of Relational Databases, SQL, and ORM technologies like SQLAlchemy, Redis, and queuing.</li></ul> 
 
Why Join AIO? 
Our mission is to revolutionize 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>

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>
DXqq0rtumm</div>

Unity International School

Unity International School is looking for a software Engineer to join our development team.B.sc software EngineerMust have command on Software Application Developer, GUIDetails: Arduino programming, Electronics, circuit design, roboticsExpert in .Net, Python programming&#8203;- Must have 3+ years of experience in relevent field- Must demonstrate a passion for learning- Must be a good team player.Job Types: Full-time, ContractPay: Rs35,000.00 - Rs150,000.00 per monthWork Location: In person

Embedded Software Engineer

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