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senior django/python developer

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python engineer

DevsOrb

Job OverviewWe are looking for a talented and detail-oriented Python engineer with 3&ndash;5 years of experience to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and data-driven solutions. You will work closely with data scientists, engineers, and product teams to build scalable ML systems that deliver business value.Key Responsibilities<ul><li>Design, develop, and deploy machine learning models and algorithms</li><li>Build and maintain scalable data pipelines and ML workflows</li><li>Perform data preprocessing, feature engineering, and model evaluation</li><li>Integrate machine learning models into production systems and APIs</li><li>Optimize models for performance, scalability, and accuracy</li><li>Work with large datasets and ensure data quality and integrity</li><li>Collaborate with cross-functional teams including data analysts, engineers, and product managers</li><li>Monitor and maintain deployed models, including retraining and performance tracking</li><li>Document processes, models, and system architecture</li><li>Stay up to date with the latest advancements in machine learning and AI</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field</li><li>3&ndash;5 years of hands-on experience in Python and machine learning development</li><li>Strong proficiency in Python and libraries such as:</li></ul>NumPy, PandasScikit-learnTensorFlow or PyTorch<ul><li>Solid understanding of machine learning algorithms (supervised &amp; unsupervised learning)</li><li>Experience with data preprocessing, feature engineering, and model tuning</li><li>Strong knowledge of statistics and probability concepts</li><li>Experience in building and consuming REST APIs (Flask/FastAPI/Django)</li><li>Familiarity with databases (SQL/NoSQL)</li><li>Experience with version control systems (Git)</li><li>Understanding of software development best practices and SDLC</li></ul>Work Location: In person

Python Engineer

Hustech

hustech.ai builds production-ready AI systems for real businesses. We work with international clients across automation, NLP, Computer Vision, LLM applications, and custom AI products. Our focus is delivery, reliability, and real business outcomes.Role OverviewWe are hiring an experienced Applied AI Engineer who can take ownership of client projects from start to finish.This is not a research-only role and not for fresh graduates. We need someone who can understand client requirements, design the right solution, build the system, deploy it, and support delivery.You should be comfortable handling different AI project types such as ML, Deep Learning, NLP, Computer Vision, LLM apps, RAG systems, and AI agents.What You&rsquo;ll Do<ul><li>Join client calls and convert requirements into technical solutions</li><li>Design end-to-end AI system architecture</li><li>Build and train ML / DL models</li><li>Develop NLP, CV, LLM, RAG, and agent-based systems</li><li>Build APIs and backend services using Python / FastAPI</li><li>Deploy solutions using Docker and cloud platforms</li><li>Integrate AI systems into client products and workflows</li><li>Optimize performance, accuracy, and scalability</li><li>Debug issues and deliver production-ready systems</li><li>Communicate progress clearly with international clients</li></ul>Required Experience<ul><li>3+ years professional industry experience (real client work, not coursework)</li><li>Proven experience delivering end-to-end AI projects</li><li>Strong Python skills</li><li>Hands-on experience in several of these areas: ML, DL, NLP, CV, LLMs, RAG, Agents etc</li><li>Experience with PyTorch or TensorFlow</li><li>Experience with APIs, FastAPI, Docker, deployment</li><li>Strong problem-solving and system design skills</li><li>Good spoken and written English</li><li>Comfortable speaking with international clients</li></ul>Preferred Skills<ul><li>AWS, GCP, or Azure</li><li>Vector databases (Qdrant, Pinecone, Weaviate)</li><li>OpenCV, Hugging Face, Scikit-learn</li><li>Automation tools and workflow systems</li></ul>Who Should ApplyApply only if you have already built and delivered real AI systems for companies or clients and can work independently with ownership.EducationBachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related field.Job Type: Full-timeExperience:<ul><li>AI Engineer: 3 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI/ML Engineer

My Digital People

AI Engineer &ndash; Generative, Agentic AI &amp; AutomationWe&rsquo;re looking for a hands-on AI Engineer (2&ndash;3 years experience) who can design, build, and scale AI-powered automations and agentic systems. This role focuses on practical implementation &mdash; from intelligent workflows and voice agents to deploying open-source models on cloud infrastructure.You&rsquo;ll work on end-to-end automation systems that streamline business processes using AI.Key ResponsibilitiesAI Automation &amp; Workflows (Core Focus)<ul><li>Design and build end-to-end AI automations for business processes</li><li>Create intelligent workflows using n8n, Make, Zapier, Flowise, and custom Python</li><li>Automate tasks such as lead handling, customer support, data processing, and reporting</li><li>Connect multiple systems (CRMs, databases, APIs) into seamless automated pipelines</li><li>Build event-driven and trigger-based automation systems</li></ul>Agentic AI Systems<ul><li>Develop agentic workflows using LangChain, LangGraph, or similar tools</li><li>Architect multi-agent systems with task delegation and decision-making</li><li>Enable agents to interact with tools, APIs, and real-world data</li></ul>AI Systems &amp; Integrations<ul><li>Build AI applications across chat, voice, image, and video</li><li>Integrate AI with external tools using APIs, MCP, and webhooks</li><li>Orchestrate multiple AI providers (OpenAI, Anthropic, Google, open-source)</li></ul>Voice AI<ul><li>Develop and deploy voice agents using Vapi, ElevenLabs, or similar platforms</li><li>Design real-time conversational experiences</li></ul>RAG &amp; Knowledge Systems<ul><li>Build and maintain knowledge bases and RAG pipelines</li><li>Handle document ingestion, chunking, and embedding workflows</li></ul>Deployment &amp; Infrastructure<ul><li>Deploy and manage open-source models on cloud platforms (AWS, Azure, GCP)</li><li>Work with Docker and basic Kubernetes</li><li>Ensure scalability, monitoring, and cost control</li></ul>Prompt Engineering &amp; System Design<ul><li>Design robust prompts and multi-turn AI systems</li><li>Optimize context handling and response accuracy</li></ul>Evaluation &amp; Optimization<ul><li>Build evaluation frameworks (LLM-as-judge, human review)</li><li>Implement logging and observability (LangSmith, Helicone, or similar tools)</li><li>Optimize performance and cost through caching and model routing</li></ul>Security &amp; Reliability<ul><li>Implement AI guardrails (prompt injection protection, PII handling)</li><li>Ensure safe, reliable, and production-ready deployments</li></ul>Required Skills &amp; Experience<ul><li>2&ndash;3 years of experience in AI/ML, automation engineering, or AI-driven development</li><li>Strong Python skills</li><li>Hands-on experience with automation tools (n8n, Make, Zapier, or similar)</li><li>Experience building AI automations or workflow systems</li><li>Familiarity with LangChain, LangGraph, or similar frameworks</li><li>Strong understanding of APIs, webhooks, and system integrations</li><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of prompt engineering and AI system design</li><li>Understanding of AI system evaluation, logging, and debugging</li></ul>Nice to Have<ul><li>Experience with vector databases (Pinecone, FAISS, Weaviate, Qdrant)</li><li>Familiarity with AI development tools (Cursor, Claude Code)</li><li>Experience with voice/telephony or real-time systems</li><li>Exposure to fine-tuning techniques (LoRA, QLoRA)</li><li>Experience with business process automation (BPA) systems</li></ul>EducationBachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.Job Type: Full-timeWork Location: In person

Automation Engineer (n8n & Zapier)+Model Training

Shahzada Group of Industries

We are seeking an experienced AI Infrastructure &amp; Automation Engineer to join our team. In this role, you will be the bridge between high-level AI application logic and the underlying hardware that powers it. You will own the responsibility of scaling our AI operations, ensuring our LLM workflows run efficiently on centralized GPU infrastructure, and automating our backend systems. If you have a passion for building robust AI pipelines and optimizing server performance, we want to hear from you.Key Responsibilities<ul><li>Infrastructure Management: Architect, deploy, and maintain centralized GPU server clusters to ensure high availability and performance for LLM training and inference.</li><li>LLM Integration: Develop and maintain backend logic to integrate Large Language Models (LLMs) into production-grade applications.</li><li>Automation: Build end-to-end automation workflows that reduce manual operational tasks, utilizing tools like N8N, Make, or custom Python scripts.</li><li>System Optimization: Monitor and tune server resources to maximize GPU utilization and minimize inference latency.</li><li>Pipeline Development: Create and manage data pipelines for ingestion, preprocessing, and model fine-tuning.</li><li>Scalability: Troubleshoot hardware/software bottlenecks and scale our infrastructure as our AI service demand grows.</li></ul>Required Qualifications<ul><li>Deep Technical Expertise: 3+ years of experience in AI/ML infrastructure, systems engineering, or a similar technical role.</li><li>GPU &amp; Server Knowledge: Hands-on experience with managing GPU-accelerated servers (e.g., NVIDIA stack, CUDA, and containerization with Docker/Kubernetes).</li><li>LLM Proficiency: Practical experience with deploying and fine-tuning LLMs (e.g., Llama, OpenAI API, Mistral) in production environments.</li><li>Programming: Strong proficiency in Python and experience with MLOps frameworks.</li><li>System Integration: Proven ability to connect APIs, webhooks, and databases to build cohesive, automated business workflows.</li><li>Problem-Solving: A &quot;builder&quot; mindset with the ability to identify infrastructure bottlenecks and implement solutions proactively.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs120,000.00 per monthWork Location: In person

Lead AI Automation Engineer (LLM & GPU Infrastructure)

H2o Labs

Location: Onsite Shift: Night Shift Job Type: Full-TimeJob Overview:We are looking for a skilled and detail-oriented Data Engineer with 2&ndash;4 years of hands-on experience to join our growing team. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data pipelines and architectures to support data-driven decision-making across the organization.Key Responsibilities:<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines</li><li>Build and manage data warehouses and data lakes</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize and automate data workflows for performance and scalability</li><li>Collaborate with data analysts, scientists, and business stakeholders</li><li>Work with large datasets and ensure efficient data processing</li><li>Monitor and troubleshoot data-related issues</li><li>Implement data security and governance best practices</li><li>Communicate effectively with cross-functional teams and stakeholders</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li>2&ndash;4 years of experience as a Data Engineer or similar role</li><li>Strong proficiency in SQL and database design</li><li>Hands-on experience with Python (or similar programming language)</li><li>Experience with ETL tools (e.g., Airflow, Talend, Informatica)</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure)</li><li>Experience with big data tools (e.g., Hadoop, Spark)</li><li>Understanding of data warehousing concepts</li><li>Excellent communication and interpersonal skills</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Qualifications:<ul><li>Experience with real-time data processing</li><li>Knowledge of Docker/Kubernetes</li><li>Familiarity with CI/CD pipelines</li><li>Experience working in agile environments</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs220,000.00 per monthWork Location: In person

Data Engineer

ACME ONE

Job Overview:We are looking for a motivated Software Engineer Intern to join our development team. The intern will gain hands-on experience in software development, work on real-world projects, and collaborate with experienced engineers to build scalable applications.Key Responsibilities:<ul><li>Assist in designing, developing, and testing web or software applications</li><li>Write clean, efficient, and maintainable code</li><li>Work with senior developers to understand project requirements</li><li>Participate in debugging and resolving technical issues</li><li>Support in API integration and frontend/backend development tasks</li><li>Collaborate with team members during daily development activities</li><li>Learn and apply best coding practices and development standards</li><li>Assist in documentation of code and technical processes</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field</li><li>Basic understanding of programming languages (JavaScript, Python, Java, or similar)</li><li>Familiarity with web development concepts (HTML, CSS, basic JavaScript preferred)</li><li>Strong problem-solving and analytical skills</li><li>Willingness to learn and adapt in a fast-paced environment</li><li>Good communication and teamwork skills</li></ul>Job Type: Internship Contract length: 3 monthsApplication Question(s):<ul><li>This is a paid internship leading to job, do not apply if you are currently enrolled in your bachlor's.</li><li>We are located in Etihad Town Phase 1, are you comfortable with the location? </li></ul>Work Location: In person

Software Engineer Intern

Skylinx Technologies

AI Engineer &ndash; Lahore (On-Site)We are hiring an in-house AI Engineer to join our Lahore-based engineering team. This role focuses on building and deploying AI-driven features for our custom platform, including data intelligence, competitive alerts, and user-facing AI interfaces. You will work closely with backend and product teams and have direct ownership of AI integrations and deployments.Key Responsibilities<ul><li>Work with existing machine learning models and large language models (LLMs).</li><li>Deploy and manage AI/ML models on private cloud or self-hosted infrastructure.</li><li>Integrate third-party AI tools and APIs (e.g., Groq, OpenAI, Hugging Face, vector databases).</li><li>Build data pipelines by connecting AI models with relational and NoSQL databases.</li><li>Design and implement competitive alerts, insights, and notifications from structured and unstructured data.</li><li>Develop APIs and basic interfaces to expose AI capabilities within the platform.</li><li>Optimize inference performance, cost, and scalability.</li><li>Ensure data security and privacy in AI workflows.</li><li>Collaborate closely with in-house backend, frontend, and product teams.</li></ul>Required Skills &amp; Qualifications<ul><li>2+ years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong proficiency in Python.</li><li>Hands-on experience with machine learning models, LLMs, or inference pipelines.</li><li>Experience deploying models on private cloud, VPS, or on-prem infrastructure.</li><li>Familiarity with third-party AI platforms and tools (e.g., Groq, OpenAI, Anthropic).</li><li>Experience working with databases (MySQL, PostgreSQL, MongoDB, etc.).</li><li>Ability to build and consume REST APIs.</li><li>Basic experience with interfaces or dashboards for AI-powered features.</li><li>Strong problem-solving skills and ability to work in an on-site team environment.</li></ul>Nice to Have<ul><li>Experience with RAG (Retrieval-Augmented Generation) systems.</li><li>Knowledge of alerting systems, recommendation engines, or analytics dashboards.</li><li>Familiarity with Docker, Kubernetes, or MLOps workflows.</li><li>Experience in SaaS or data-driven platforms.</li><li>Frontend exposure (React, Vue, or similar).</li></ul>What We Offer<ul><li>On-site role in Lahore with a collaborative engineering team.</li><li>Opportunity to build production-grade AI systems.</li><li>Competitive salary</li><li>Long-term growth and learning opportunities.</li><li>Direct impact on core product features.</li></ul>How to ApplyPlease share:<ul><li>Your updated resume</li><li>GitHub or project links (if available)</li><li>Short summary of AI or ML projects you&rsquo;ve worked on</li></ul>Work Location: In person

AI Engineer (In-House)

Explore 124+ Python engineer in Lahore this April. Find roles across top companies and apply now to boost your career.