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backend developer (java + python ai)

python engineer

Funprime technologies Pvt Ltd

We are hiring a AI Engineer with deep expertise in AI model development, optimization, and deployment. The role primarily focuses on enhancing existing AI models, improving their accuracy and efficiency, and managing server-side infrastructure for large-scale AI applications.Key Responsibilities<ul><li>Research, fine-tune, and enhance AI models for performance, scalability, and accuracy.</li><li>Develop backend systems to support model inference, data pipelines, and monitoring.</li><li>Manage and optimize server infrastructure (GPU-based systems, Docker, Kubernetes).</li><li>Deploy and maintain AI models in production with CI/CD pipelines.</li><li>Handle model versioning, testing, and performance evaluation.</li><li>Collaborate with cross-functional teams to ensure seamless model integration and stability.</li></ul>Required Skills <ul><li>Proficiency in Python, with experience in PyTorch, TensorFlow, or Transformers.</li><li>1-2 years of experience Required.</li><li>Strong understanding of machine learning model training, tuning, and deployment.</li><li>Experience with Docker, Kubernetes, Linux server management, and cloud environments (AWS / GCP / Contabo).</li><li>Solid knowledge of REST APIs, microservices, and data pipelines.</li><li>Familiarity with DevOps/MLOps tools and best practices.</li><li>Bonus: Experience in distributed training, GPU optimization, or custom model architectures.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

iOPTIME Pvt. Limited

We are looking for a passionate AI Engineer with hands-on experience in Generative AI, RAG systems, LLMs, and Computer Vision to help design and deploy next-generation AI solutions. You will work on building intelligent systems using LangChain, LLM fine-tuning, OCR, and LLM evaluation pipelinesKey Responsibilities:<ul><li>Develop and optimize RAG-based architectures for high-quality contextual retrieval and response generation.</li><li>Work on LLM fine-tuning, prompt engineering, and evaluation frameworks to measure model performance and accuracy.</li><li>Fine-tune LLM models to cater to specific business needs, ensuring high accuracy and efficiency.</li><li>Apply Computer Vision techniques for image processing, object detection, and real-time video analytics.</li><li>Collaborate with backend and ML teams to integrate AI components into production using FastAPI, Docker, and GCP or AWS.</li><li>Continuously explore advancements in GenAI, LangChain, and LLM evaluation to enhance system performance.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master degree in Computer Science, AI/ML, or a related field.</li><li>2 years of hands-on experience in AI/ML model development.</li><li>Strong programming skills in Python with frameworks such as PyTorch or TensorFlow.</li><li>Experience with LLMs, LangChain, RAG, or LLM evaluation pipelines.</li><li>Knowledge of OCR tools (e.g., Tesseract, EasyOCR) and Computer Vision frameworks (e.g., OpenCV, YOLO).</li><li>Familiarity with model deployment, vector databases, and inference optimization.</li><li>Good understanding of prompt engineering, fine-tuning, and model evaluation metrics.</li><li>Strong analytical mindset, problem-solving ability, and teamwork skills.</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsPay: Rs100,000.00 per monthAbility to commute/relocate:<ul><li>Islamabad G-8/Markaz: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your expected salary?</li><li>It's an onsite full-time job, are you comfortable commuting to this job's location?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Generative AI: 2 years (Required)</li></ul>Work Location: In person

ZZ-Technologies, islamabad

Responsibilities:<ul><li>Write high-quality, clean, and maintainable code in Python.</li><li>Develop, test, and deploy web applications using Flask.</li><li>Design, create, and manage relational databases using MySQL.</li><li>Work with ORMs such as SQLAlchemy to integrate MySQL with Python.</li><li>Manage and integrate MongoDB using MongoEngine for NoSQL data handling.</li><li>Collaborate with cross-functional teams to design and implement new features.</li><li>Troubleshoot, debug, and resolve issues in development and production environments.</li></ul>Requirements:<ul><li>1&ndash;2 years of experience in Python development, with a strong focus on Flask.</li><li>Hands-on experience with MySQL and ORMs (e.g., SQLAlchemy).</li><li>Experience with MongoDB and MongoEngine for NoSQL database management.</li><li>Familiarity with AWS and Django will be a plus.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to work effectively in a collaborative team environment.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

Python Developer (Flask, MySQL, MongoDB)

Devsinc

<div>
 
 Core Responsibilities
 
 
 
 Participate in the design, development, and maintenance of backend services and APIs using Python (FastAPI, Flask, or Django REST Framework).
 
 
 Write clean, efficient, and reusable code following modern Python (3.8+) best practices.
 
 
 Develop RESTful APIs and ensure consistency, performance, and scalability.
 
 
 Design and manage relational databases (PostgreSQL or similar), including schema design and query optimization.
 
 
 Contribute to integration of microservices or distributed systems using message brokers (RabbitMQ, Kafka, etc.) where applicable.
 
 
 Implement and maintain automated tests (unit, integration) using PyTest or similar frameworks.
 
 
 Support CI/CD processes and help maintain build pipelines (e.g., GitHub Actions, GitLab CI).
 
 
 Work closely with DevOps, QA, frontend, and product teams to deliver robust features.
 
 
 Participate in code reviews and contribute to improving team coding standards.
 
 
 Document APIs, architecture decisions, and workflows clearly using tools like Swagger/OpenAPI and Markdown.
 
 
 Assist in system monitoring, debugging, and performance tuning using APM tools (e.g., Sentry, Prometheus, New Relic).
 
 
 
 Requirements
 
 
 
 
 Qualification
 
 
 
 2-3 years of hands-on experience building production-grade backend systems in Python.
 
 
 Solid understanding of RESTful API design and backend architecture.
 
 
 
 Experience Working With PostgreSQL Or Other Relational Databases.
 
 
 
 Familiarity with containerization (Docker) and deployment to cloud environments (AWS preferred).
 
 
 Basic understanding of CI/CD, Git workflows, and testing practices.
 
 
 Exposure to cloud services such as AWS EC2, S3, or Lambda.
 
 
 Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana).
 
 
 Familiarity with infrastructure-as-code (Terraform, Pulumi) is a plus.
 
 
 Interest in continuous learning and improving code quality and performance.
 
 
 
 Required Skills
 
 
 
 Proficiency in Python with experience using FastAPI, Flask, or Django REST Framework.
 
 
 Strong grasp of HTTP, REST, and asynchronous programming concepts (async/await).
 
 
 Competence in SQL and database design (PostgreSQL preferred).
 
 
 Experience with Docker and Docker Compose for local development.
 
 
 Understanding of Git branching strategies and collaborative workflows.
 
 
 Familiarity with event-driven architectures and background task systems (Celery, Kafka, etc.).
 
 
 Solid foundation in software design principles (SOLID, DRY, clean architecture).
 
 
 Comfortable writing and maintaining unit/integration tests.
</div>

Software Engineer - Python

IKONIC

<div>
 
 Position Title:
 
 Machine Learning Engineer
 
 
 
 Timings:
 
 4:00 pm - 1:00 am
 
 
 
 Department:
 
 AI ML
 
 
 
 Location:
 
 Ikonic, Plot # 176, Korang Road, near Rahat Bakers, I-10/3, Islamabad
 
 
 
 About Us:
 
 
 
 IKONIC is a US-based IT company headquartered in Miami, Florida, serving clients globally for over 9 years. Were known for building scalable digital solutions and high-performing product teams. Innovation, ownership, and outcomes are core to how we work.
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking a skilled
 
 Machine Learning Engineer
 
 to design, develop, and deploy scalable
 
 ML models and data-driven solutions
 
 .
 
 
 You will collaborate with data scientists, software engineers, and product teams to bring machine learning models from concept to production helping the organization leverage data for predictive insights, automation, and innovation.
 
 
 
 Education &amp; Professional Qualification:
 
 
 
 <ul>
 <li>
 Bachelor or equivalent degree from a reputed educational institute, preferably in computer programming, computer science, or a related field.
 </li>
 <li>
 Certification(s): Not mandatory, but certification in a relevant field is a plus.
 
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 Minimum 2+ years of experience in Machine Learning Engineering with a proven portfolio of relevant projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and optimize machine learning models for prediction, classification, and recommendation tasks.
 </li>
 <li>
 Preprocess, clean, and transform large datasets for model training and evaluation.
 </li>
 <li>
 Select appropriate algorithms and tune hyperparameters to maximize model accuracy and efficiency.
 </li>
 <li>
 Work with deep learning frameworks (TensorFlow, PyTorch, Keras) for model development.
 </li>
 <li>
 Implement feature engineering techniques to enhance model performance.
 </li>
 <li>
 Develop data pipelines for continuous training and deployment (MLOps).
 </li>
 <li>
 Deploy models in production environments using REST APIs, Docker, or cloud ML platforms.
 </li>
 <li>
 Monitor, evaluate, and retrain models to maintain performance over time.
 </li>
 <li>
 Collaborate with data teams to align ML outputs with business objectives.
 </li>
 <li>
 Stay updated with the latest advancements in ML, DL, and AI research.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Strong programming skills in Python and experience with libraries such as scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn.
 </li>
 <li>
 Hands-on experience with TensorFlow or PyTorch.
 </li>
 <li>
 Solid understanding of supervised, unsupervised, and reinforcement learning techniques.
 </li>
 <li>
 Experience working with SQL / NoSQL databases.
 </li>
 <li>
 Familiarity with MLOps, model versioning, and CI/CD pipelines.
 </li>
 <li>
 Strong grasp of data preprocessing, feature selection, and model evaluation metrics.
 </li>
 <li>
 Proficiency with cloud services (AWS SageMaker, GCP Vertex AI, or Azure ML).
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 
 </li>
 </ul>
 
 Nice To Have:
 
 
 
 Knowledge of Natural Language Processing (NLP) or Computer Vision.
 
 
 Experience with Generative AI, LLMs, or RAG pipelines.
 
 
 Familiarity with data visualization tools (PowerBI, Tableau).
 
 
 Exposure to big data frameworks (Spark, Hadoop).
 
 
 Understanding of statistics and probability for model validation.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 EOBI
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Accommodation
 </li>
 <li>
 Annual Leaves
 </li>
 <li>
 Casual leaves
 </li>
 <li>
 Sick Leaves
 </li>
 <li>
 Bereavement Leaves
 </li>
 <li>
 Marriage Leaves
 </li>
 <li>
 Paternity Leaves
 </li>
 <li>
 Maternity Leaves
 </li>
 <li>
 Recreational area for in-house games
 
 
 
 </li>
 </ul>
 
 Why Should You Join IKONIC?
 
 
 
 At IKONIC, we believe in providing development opportunities to all its employees which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:
 
 
 <ul>
 <li>
 A growth mindset through the help of experienced and helpful Mentors. Ikonic is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
 </li>
 <li>
 A Dynamic Environment where we focus on encouraging initiatives, promoting agility and creating a work/life balance. We know the value you bring in and we aim to nurture it.
 </li>
 <li>
 Market Competitive Compensation based upon your professional qualifications and skill set.
 </li>
 <li>
 As an Equal employment opportunity provider. All employment associated decisions are based on an individual's merit.
 
 
 
 </li>
 </ul>
 
 Note: Above goals and job descriptions are indicative and subject to change.
 
</div>

Machine Learning Engineer

Cube Discipline

<ul><li>Develop and maintain server-side logic using Python frameworks (e.g., Django, Flask, or FastAPI).</li><li>Build, test, and deploy RESTful APIs and microservices.</li><li>Integrate third-party APIs and services.</li><li>Collaborate with front-end developers, DevOps, and data teams for seamless product delivery.</li><li>Write clean, maintainable, and efficient code following best practices.</li><li>Optimize applications for speed, scalability, and security.</li><li>Troubleshoot, debug, and upgrade existing systems.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>2&ndash;5 years of experience in backend development using Python.</li><li>Strong experience with Django, Flask, or FastAPI.</li><li>Proficiency in PostgreSQL/MySQL and ORMs (e.g., SQLAlchemy, Django ORM).</li><li>Experience with RESTful API design, Git, and containerization (Docker).</li><li>Familiarity with AWS, CI/CD pipelines, and unit testing frameworks (PyTest, Unittest).</li><li>Excellent problem-solving and communication skills.</li></ul>Preferred Skills:<ul><li>Knowledge of async programming and message queues (Celery, RabbitMQ, Kafka).</li><li>Experience with GraphQL or WebSockets.</li><li>Understanding of microservices architecture.</li></ul>Job Type: Full-timeWork Location: In person

Python Developer

Provox Global Solutions

We are looking for a mid-level AI Engineer to support the development of our AI-powered voice and chat systems using DialogFlow CX, Vertex AI, and Gemini API. This role will focus on building, maintaining, and optimizing conversational AI solutions integrated with backend logic on Google Cloud Platform (GCP) for healthcare applications.Key Responsibilities<ul><li>Develop and maintain DialogFlow CX conversational agents (voice and chat).</li><li>Integrate DialogFlow Phone Gateway and monitor agent behavior.</li><li>Implement grounding techniques to reduce hallucinations and ensure AI reliability.</li><li>Write Node.js Cloud Functions to handle conversational business logic.</li><li>Integrate external APIs and manage JSON-based data exchange.</li><li>Configure and maintain environments in Google Cloud Platform (GCP).</li><li>Support Vertex AI and Gemini API integrations for advanced AI capabilities.</li><li>Conduct testing of conversational flows and ensure accuracy and performance.</li></ul>Required Qualifications<ul><li>2&ndash;3 years experience in AI development or GCP-based environments.</li><li>Hands-on experience with DialogFlow CX and conversational AI tools.</li><li>Proficient in Node.js and working with APIs and JSON structures.</li><li>Understanding of Google Cloud Functions and serverless architecture.</li><li>Familiarity with Vertex AI, Gemini API, or similar LLM integrations.</li><li>Strong debugging, testing, and optimization skills.</li><li>Experience with basic SQL (MySQL) for data logging and tracking.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>This is an on-site position with shift hours from 7 PM to 4 AM Pakistan Time. Are you comfortable with this shift schedule?</li></ul>Experience:<ul><li>n8n: 1 year (Required)</li><li>DialogFlow : 1 year (Required)</li><li>Google Cloud Platform (GCP).: 1 year (Required)</li><li>Node.js : 1 year (Required)</li></ul>Work Location: In person

Explore 190+ Python engineer in Islamabad this November. Find roles across top companies and apply now to boost your career.

190 python engineer jobs IN Islamabad

AI Engineer

AI Engineer

Python Developer (Flask, MySQL, MongoDB)

Software Engineer - Python

Machine Learning Engineer

Python Developer

AI Engineer