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backend developer - python fastapi Jobs in Karachi

backend developer - python fastapi

python engineer

We are looking for a Junior to Mid Level Backend developer with strong expertise in Python programming, and practical knowledge of ERPNext customization and development. The ideal candidate will work on automating business processes, enhancing ERP capabilities with intelligent solutions, and ensuring scalable backend development.Key Responsibilities:<ul><li>Design, develop, and maintain backend modules using Python.</li><li>Customize and extend ERPNext functionalities and modules.</li><li>Work with business analysts and stakeholders to gather and translate requirements into technical solutions.</li><li>Write clean, efficient, and well-documented code.</li><li>Perform code reviews and mentor junior developers (senior-level candidates).</li><li>Integrate third-party APIs and services with ERPNext as needed.</li><li>Participate in system architecture discussions and help define best practices.</li></ul>Required Skills and Qualifications:<ul><li>2 to 4 years of experience in Python development.</li><li>Strong knowledge of ERPNext/Frappe framework, including custom app development, DocType customization, and scripting.</li><li>Solid understanding of RESTful APIs, database design (MariaDB/MySQL), and data modeling.</li><li>Experience with Pandas, NumPy, or similar libraries for data processing.</li><li>Familiarity with Git and version control practices.</li><li>Excellent problem-solving and communication skills.</li></ul>Timings: 10 am to 7 pmLocation: Gulshan e Iqbal, Karachi.Job Type: Full-timeWork Location: In person

Python Developer

Arc Inventor

rc Inventador is a fast-growing technology company specializing in building scalable and innovative SaaS solutions for global clients. We focus on software development, cloud-based product engineering, and digital transformation. Our team is passionate about delivering intelligent platforms that solve real-world business challenges across multiple industries.As a Machine Learning Engineer, you will play a critical role in designing, developing, and deploying advanced NLP and conversational AI solutions. You will work on speech technologies, automation, and intelligent workflows, collaborating closely with backend engineers, product teams, and voice platform experts. This position requires strong technical expertise, hands-on coding skills, and a product-focused mindset.Key ResponsibilitiesNLP Development<ul><li>Build and deploy NLP pipelines for intent detection, entity extraction, sentiment analysis, and conversational flow management using libraries such as NLTK, spaCy, or Transformers.</li><li>Fine-tune and maintain language models to deliver domain-specific conversational experiences.</li></ul>Machine Learning &amp; Conversational AI<ul><li>Design and implement ML models for dialog management, FAQ automation, and multi-turn conversation flows across chat and voice platforms.</li><li>Prototype intelligent automation features including call summarization, intent routing, and IVR automation.</li></ul>Speech Technologies<ul><li>Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) systems (e.g., Whisper, Google STT/TTS, Amazon Polly).</li><li>Monitor and optimize speech model performance, latency, and reliability in production.</li></ul>Engineering &amp; Deployment<ul><li>Develop scalable ML APIs and microservices for production-grade applications.</li><li>Work with REST APIs for model integration and deployment.</li><li>Collaborate with engineers and product managers to deliver production-ready ML solutions.</li></ul>Data Handling &amp; Research<ul><li>Process, annotate, and analyze large-scale multilingual datasets for training and validation.</li><li>Document pipelines, workflows, and research findings to support knowledge sharing.</li></ul>Required Skills &amp; Experience<ul><li>Experience: 3&ndash;4 years in ML Engineering or NLP-focused roles.</li><li>NLP Expertise: Hands-on experience with NLTK, spaCy, Transformers, or similar NLP frameworks.</li><li>Machine Learning: Strong Python skills with PyTorch, TensorFlow, or scikit-learn.</li><li>Speech Technologies: Experience developing STT/TTS solutions (Whisper, Google STT/TTS, Amazon Polly, etc.).</li><li>APIs &amp; Deployment: Proficiency in working with REST APIs, microservices, and ML model deployment.</li><li>Version Control &amp; Agile: Solid understanding of Git, Agile/Scrum workflows, and collaborative development.</li><li>Coding Experience: Proven ability to write clean, maintainable, and scalable production code.</li><li>Data Handling: Exposure to large text/audio datasets for model training and evaluation.</li></ul>Job Type: Full-timeWork Location: In person

Machine Learning Engineer

Confiz

<div>We are seeking a Machine Learning Engineer with 3-7 years of experience in the field. The ideal candidate will have a strong foundation in low-level machine learning skills, data science, and advanced AI techniques. You will be working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other state-of-the-art toolchains. Additionally, familiarity with cloud operations will be beneficial. If you are passionate about pushing the boundaries of AI and enjoy working on complex challenges, we want to hear from you.
Responsibilities:
<ul><li>Design, implement, and optimize machine learning models and algorithms, focusing on low-level techniques and cutting-edge AI methodologies.</li>
<li>Develop and maintain data pipelines, perform exploratory data analysis, and apply data preprocessing techniques to ensure high-quality input for machine learning models. LLM &amp; RAG Implementation: Leverage and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to create innovative solutions and enhance model performance.</li>
<li>Utilize and integrate modern toolchains and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) to build and deploy machine learning models.</li>
<li>Manage and optimize machine learning workflows in cloud environments (e.g., AWS, Google Cloud, Azure), ensuring scalability and efficiency.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align on project goals and deliver high-impact solutions.</li>
</ul>
Requirements:
<ul><li>Minimum 3 years of professional experience in machine learning and AI engineering.</li>
<li>Proficiency in Python and relevant libraries (e.g., NumPy, pandas, scikit-learn). Strong understanding of machine learning algorithms, statistical analysis, and model evaluation techniques.</li>
<li>Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies, including fine-tuning and deployment.</li>
<li>Solid background in data science principles, including data preprocessing, feature engineering, and model selection.</li>
<li>Cloud Operations: Experience with cloud platforms (AWS, Google Cloud, Azure) and knowledge of cloud-based machine learning services and deployment strategies.</li>
<li>Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and version control systems (e.g., Git).</li>
<li>Strong analytical and problem-solving skills, with the ability to tackle complex challenges and derive actionable insights.</li>
<li>Excellent communication skills, with the ability to present technical concepts clearly and effectively to non-technical stakeholders.</li>
<li>Experience working in an Agile or iterative development environment is a plus.</li>
</ul>
We have a global team of amazing 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) and ISO 14001:2015 (EMS) 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, visit: https://www.linkedin.com/company/confiz/</div>

Sofstica

Key Responsibilities<ul><li>AI Agent Development: Design and implement advanced AI agents using Python, Lang Chain, Lang Graph, and modern frameworks for reasoning, decision-making, and workflow orchestration.</li><li>Full-Stack Integration: Build scalable backend services with Java SpringBoot, intuitive frontends with Next.js, and mobile apps with Flutter to deliver AI-powered products.</li><li>Deployment &amp; Scalability: Deploy and maintain AI models in production environments.</li><li>Cross-Team Collaboration: Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.</li></ul>Qualifications:Technical Expertise:<ul><li>Excellent analytical, coding, and debugging skills in Python.-Hands-on experience building AI agents, RAG pipelines, or autonomous systems with frameworks like LangChain/LangGraph.</li><li>Solid understanding of data structures, algorithms, and system design for solving complex technical challenges.</li><li>Nice to have knowledge of frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration).</li></ul>Job Type: Full-time, onsiteJob Type: Full-timeApplication Question(s):<ul><li>The initial screening require a take home test? would you be able to do that?</li></ul>Work Location: In person

AI Engineer

Love for Data

Love For Data is looking for a highly experienced and technically hands-on 'Senior Staff Engineer', based in Karachi, to lead its Python back-end team. This role demands strong expertise in scalable Python application development, particularly using the Django framework, along with the ability to architect solutions, enforce best practices, and provide technical leadership. The incumbent will be responsible for guiding the engineering team toward building robust, maintainable, and high-performing systems, while also being actively involved in coding and solution design. If you see yourself fitting the bill, please share your profile at asfundyar.mufti@lovefordata.comJob Type: Full-timeWork Location: In person

Senior Staff Engineer

Xynotech

At Xynotech, customer experience is at the forefront of everything we do. To help us build functional systems that improve customer experience we are now looking for an experienced DevOps Engineer. Will be responsible for designing cloud native environments, writing infrastructure as code, conducting analysis of environmental issues and help with environment provisioning that meet our customers' needs. If you have a solid background in DevOps, we&rsquo;d love to speak with you.Job Description:<ul><li>Building and setting up new environments in AWS and Azure</li><li>Developing scripts to automate provisioning of environments</li><li>Working on ways to automate and improve development and release processes</li><li>Ensuring that systems are safe and secure against cybersecurity threats</li><li>Working with software developers and software engineers to ensure that development follows established processes and works as intended</li><li>Planning out sprint and being involved in estimation of user stories</li><li>Deploying updates and fixes using CI/CD pipelines</li><li>Building tools to reduce occurrences of errors and improve customer experience</li><li>Design procedures for system troubleshooting and maintenance</li></ul>Job Specification <ul><li>Bachelors in Computer Science, Engineering or relevant field.</li><li>3-5 years&rsquo; experience as a DevOps Engineer on a cloud environment.</li><li>Experience in managing large production/live environments using infrastructure as code (terraform, cloud formation)</li></ul>Required Skills<ul><li>Knowledge of Kubernetes clusters and workloads</li><li>Working knowledge of CI/CD pipeline</li><li>Scripting experience with Groovy and/or Jenkins</li><li>Proficient with git and git workflows</li><li>Good knowledge of Python</li><li>Problem-solving attitude</li><li>Good knowledge of databases</li><li>Linux Cli experience</li><li>Any Scripting languages - Python, Perl, Bash.</li></ul>Interested candidates are requested to send their updated resume to hr.pk@xynotech.com Kindly mention the Job Title &ldquo;DevOps Engineer&quot; in the Subject line.Job Type: Full-timeExperience:<ul><li>DevOps: 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

DevOps Engineer

Inoviotech

Job Title: Senior AI EngineerLocation: Karachi / Onsite Timings Evening / MorningJob Description:We are seeking an experienced Senior AI Engineer to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have deep technical expertise, strong problem-solving skills, and a passion for building scalable AI systems that deliver measurable business impact.Key Responsibilities<ul><li>Design, build, and optimize AI/ML models for a variety of use cases (NLP, computer vision, recommendation systems, predictive analytics, etc.).</li><li>Lead end-to-end solution development: data collection, preprocessing, model design, training, evaluation, and deployment.</li><li>Collaborate with cross-functional teams (Data Engineering, Product, DevOps) to integrate models into production systems.</li><li>Research and experiment with emerging AI technologies, frameworks, and tools.</li><li>Review code, provide mentorship, and promote best practices within the AI/ML team.</li><li>Monitor model performance, retraining as needed, and ensure scalability and reliability.</li><li>Prepare technical documentation and present findings to stakeholders.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field (Ph.D. preferred).</li><li>5+ years of experience in AI/ML development, with at least 2 years in a senior/lead role.</li><li>Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.</li><li>Strong understanding of algorithms, data structures, and statistics.</li><li>Experience with data pipelines, cloud platforms (AWS/GCP/Azure), and MLOps tools.</li><li>Excellent problem-solving, analytical, and communication skills.</li><li>Ability to work independently and guide junior engineers.</li></ul>Nice-to-Have<ul><li>Experience with LLMs, generative AI, or reinforcement learning.</li><li>Knowledge of big data tools (Spark, Hadoop) or streaming systems (Kafka).</li><li>Contributions to open-source AI/ML projects.</li></ul>Benefits (optional)<ul><li>Competitive salary</li><li>Health insurance</li><li>Professional development opportunities</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in designing and deploying AI/ML solutions?</li><li>Which AI/ML frameworks are you most proficient in (e.g., TensorFlow, PyTorch, Scikit-learn)?</li><li>Rate your proficiency (1&ndash;5) in:</li></ul>PythonCloud platforms (AWS / GCP / Azure)MLOps / CI-CD for ML<ul><li>Describe one complex AI problem you solved and the impact of your solution. (Short answer)</li><li>What is your current notice period?</li><li>Current Salary?</li><li>Expected Salary?</li></ul>Work Location: In person

Senior AI Engineer

Explore 264+ Python engineer in Karachi this September. Find roles across top companies and apply now to boost your career.

264 python engineer jobs IN Karachi

Python Developer

Machine Learning Engineer

Machine Learning Engineer

AI Engineer

Senior Staff Engineer

DevOps Engineer

Senior AI Engineer