chief engineer

civil engineer

mechanical engineer

planning engineer

project engineer

ml engineer

Conceptrecall

Key Responsibilities<ul><li>Train and improve object detection models (YOLO, Detectron2).</li><li>Prepare and manage datasets (real + synthetic).</li><li>Work with annotation teams for labeling accuracy.</li><li>Test model performance across different terrains (forest, desert, snow, rubble).</li><li>Optimize and deploy models for fast, real-time results.</li></ul>Required Skills<ul><li>Experience with YOLO, PyTorch/TensorFlow, and OpenCV.</li><li>Strong background in Computer Vision and Machine Learning.</li><li>Familiarity with annotation tools (CVAT, LabelImg, Roboflow).</li><li>Understanding of precision/recall, mAP, and model evaluation.</li></ul>Qualifications<ul><li>BS/MS in Computer Science, AI, Data Science, or related field.</li><li>2&ndash;5 years experience in AI/ML or Computer Vision.</li><li>Portfolio/GitHub showing object detection work.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

ULTIMATE BUILDMART

Job DescriptionWe are hiring a highly skilled AI/ML Engineer with hands-on experience in Computer Vision, Object Detection, LLM-based systems, vector databases, and async backend development. Ideal candidate will build production-ready AI pipelines, optimize models, integrate APIs, and deploy scalable systems.Key Responsibilities<ul><li>Develop and optimize Computer Vision pipelines using OpenCV/cv2 and YOLO.</li><li>Train, fine-tune and integrate object detection models, embeddings, and custom datasets.</li><li>Build async backend services using FastAPI (must be async-first) and integrate ML/DL models.</li><li>Implement vector search pipelines using pgvector, Qdrant, or FAISS.</li><li>Build RAG pipelines using LangChain, LangGraph, or other LLM frameworks.</li><li>Work with open-source LLMs (Hugging Face, Ollama, vLLM).</li><li>Use async clients like HTTPX to integrate external APIs efficiently.</li><li>Build microservices, deploy models, and containerize applications using Docker.</li><li>Handle data pipelines, model serving, embeddings, and hybrid search workflows.</li><li>Collaborate with team on architecture, debugging, optimization, and deployment.</li></ul>Required Skills &amp; TechnologiesAI / ML / CV<ul><li>OpenCV / cv2</li><li>YOLO (v5/v7/v8/v11)</li><li>PyTorch / TensorFlow</li><li>Object Detection / Fine-tuning</li><li>Image preprocessing &amp; augmentation</li></ul>Backend &amp; Async Development<ul><li>FastAPI (async architecture)</li><li>Asynchronous programming</li><li>Threading, multiprocessing, parallelism</li><li>Socket programming</li><li>HTTPX (async client)</li></ul>LLM / RAG / GenAI<ul><li>LangChain / LangGraph</li><li>Hugging Face models</li><li>LLaMA / Mistral / open-source LLMs</li><li>RAG pipeline development</li><li>Embeddings and vector search</li><li>vLLM, Ollama (optional but preferred)</li></ul>Vector Databases<ul><li>pgvector</li><li>Qdrant</li><li>Hybrid search (keyword + vector)</li></ul>DevOps &amp; Tools<ul><li>Docker</li><li>Git / GitHub</li><li>Linux environment</li><li>API development &amp; integrations</li><li>PostgreSQL</li></ul>Nice to Have<ul><li>Experience with model optimization &amp; quantization</li><li>Video analytics pipelines</li><li>Hands-on with WebSockets / streaming</li><li>Deployment on cloud (AWS, GCP, Azure)</li></ul>Candidate Must Have<ul><li>1&ndash;2 years practical experience (not just coursework)</li><li>GitHub or portfolio with CV/LLM projects</li><li>Strong understanding of production-level AI systems</li><li>Ability to work independently and deliver results fast</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs110,000.00 per monthExperience:<ul><li>YOLO + OpenCV (Computer Vision) : 1 year (Preferred)</li><li>LLM / RAG (LangChain or LangGraph): 1 year (Preferred)</li><li>pgvector or Qdrant (Vector Search): 1 year (Preferred)</li><li>AI/ML engineering: 1 year (Preferred)</li></ul>Work Location: In person

AI/ML Engineer (Computer Vision + LLM + Async Backend)

Pivotize Consulting

Job Overview We aare in search of an experienced AI Engineer who will work as part of a diverse team of software engineers, data scientists, and machine learning (ML) experts to develop new models and algorithms to apply artificial intelligence to solve real-world problems and change the future.In this role, your curiosity and deep interest in AI, machine learning, and keeping pace with a rapidly evolving field will guide your path. You will delve into extensive data sets, identify patterns, and craft predictive algorithmic models, contributing to innovative projects.Responsibilities: . Design and develop cutting-edge AI solutions and systems that integrate with our products and services. . Implementing AI solutions using programming languages such as Python, R, Java, or C++, along with relevant frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. . Collecting, preprocessing, and analyzing large volumes of data to train AI models. This may involve data cleaning, feature engineering, and exploratory data analysis. . Deploying AI models into production environments and integrating them with existing systems and applications. This may involve containerization, microservices architecture, and cloud computing platforms. . Conduct thorough testing and evaluation of AI systems to ensure they meet performance, reliability, and security standards. . Conduct research and experiments to improve the performance of AI systems. . Monitor the performance of AI systems and make recommendations for improvements. . Stay up-to-date with advancements in AI technologies and make recommendations for future development.Requirements: . Degree in Computer science, Information technology, or a related field. 4+ years of experience with strong programming skills in Python, R, MATLAB, or other relevant programming languages. . Deep understanding of data science, linear algebra, algorithms, and statistics. . Experience working with large data sets and writing efficient code capable of processing large data streams at speed . Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML framework. . Excellent communication skills.Job Type: Full-timePay: From Rs250,000.00 per monthApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is your notice period?</li><li>Are you able to commute to Bahria Complex 1, Lalazar, M.T. Khan Road for onsite interview &amp; job? It's mandatory to be available on-site. No Freelance or Remote reource/online interviews &amp;assessment.</li></ul>Work Location: In person

Sr. Artificial Intelligence (AI) Engineer

Invision Custom Solutions

Job Title: Python Developer (AI/ML)Experience: 3&ndash;4 YearsLocation: Shahrah-e-FaisalEmployment Type: Full-TimeTimings: 11:30 AM- 08:30 PM.About the Role:We are seeking a highly motivated Python Developer with hands-on AI/ML experience to join our technical team. The ideal candidate should be proficient in developing intelligent applications, working with machine learning models, and implementing data-driven solutions using PythonKey Responsibilities:<ul><li>Develop and maintain AI-driven applications and automation systems using Python.</li><li>Build, train, evaluate, and deploy machine learning models for real-world use cases.</li><li>Implement data preprocessing, feature engineering, and model optimization techniques.</li><li>Develop RESTful APIs to serve machine learning model outputs.</li><li>Integrate AI solutions into existing applications and backend systems.</li><li>Conduct research on recent ML algorithms, NLP, and deep learning techniques.</li><li>Collaborate with software engineers, data scientists, and product teams to define requirements and deliver solutions.</li><li>Prepare technical documentation, reports, and model performance dashboards.</li><li>Continuously improve system accuracy, performance, and scalability.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or relevant field.</li><li>3&ndash;4 years of professional experience in Python development.</li><li>Strong experience with machine learning frameworks such as:</li><li>TensorFlow, PyTorch, Scikit-learn, Keras</li><li>Hands-on experience with data manipulation and analysis using: Pandas, NumPy</li><li>Knowledge of AI concepts, including:</li><li>Supervised &amp; unsupervised learning</li><li>NLP (Natural Language Processing)</li><li>Computer vision (preferred)</li><li>Experience with model deployment using REST APIs, Docker, or cloud platforms (AWS, GCP, Azure).</li><li>Familiarity with database technologies (SQL and NoSQL).</li><li>Solid understanding of version control (Git) and software development lifecycle.</li></ul>Nice to Have (Added Advantage):<ul><li>Experience working with LLMs (Large Language Models)</li><li>Exposure to GenAI, RAG, or Chatbot development</li><li>Knowledge of MLOps tools (Kubeflow, MLflow, DVC)</li><li>Familiarity with data pipelines and ETL processes</li><li>Experience with FastAPI or Flask</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Karachi Shahra-E-Faisal: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>Do you have experience in developing AI- driven Applications and automation systems using Python?</li><li>What's your expected salary?</li><li>What's your Notice period?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Python : 3 years (Required)</li></ul>Work Location: In person

Python Developer (AI/ML)

HR Ways

About the RoleWe are looking for a hands-on AI Architect who bridges software development, data engineering, and advanced AI/ML. You will design and code AI solutions that leverage large language models, embeddings, and retrieval augmented generation while ensuring robust data pipelines and integration with our software products. This role requires a strong foundation in software engineering and data engineering along with deep expertise in AI/ML.Main Role: Own end-to-end delivery of AI-powered web applications. Build modern React front ends, Node and Python services, and production-grade agents. Ship to Kubernetes with strong reliability and security.Key Responsibilities<ul><li>Design and implement React apps with TypeScript and modern state management.</li><li>Build Node services and Python microservices for AI and data workflows.</li><li>Architect, orchestrate, and evaluate agentic AI systems including tool use, planning, and multi-step reasoning.</li><li>Productions models and agents: prompt design, guardrails, evals, observability, latency, and cost controls.</li><li>Operate services on Kubernetes: containerization, Helm, CI/CD, autoscoring, secrets, monitoring, on-call ownership.</li><li>Champion code quality: reviews, tests, linting, performance profiling, documentation.</li></ul>Must-have experience<ul><li>4+ years professional software engineering with shipped products.</li><li>React, TypeScript, Vite or Next.js.</li></ul><ul><li>Node.js, Express/Fastify; Python for AI and backend tasks.</li><li>Hands-on with agentic AI frameworks and patterns: function/tool calling, retrieval-augmented generation, planners, evaluators, guards, memory, agents that call external APIs.</li><li>LLM ops: vector stores, embeddings, prompt/version management, offline evals, tracing.</li><li>Kubernetes in production: Helm or Kustomize, Horizontal Pod Autoscaler, Ingress, service mesh basics, logging and metrics with Prometheus/Grafana or Open Telemetry.</li><li>CI/CD with GitHub Actions or GitLab CI; Docker best practices.</li></ul>Security hygiene: secrets management, RBAC, network policies, OWASP ASVS awareness.&#65279;Nice to have:<ul><li>Next.js App Router, React Server Components.</li><li>PostgreSQL, Redis, Kafka.</li><li>Cloud: AWS or GCP (EKS/GKE), IAM, networking.</li><li>Lang Chain, Llama Index, Instructor, Guardrails, OpenAI/Azure, Anthropic,</li></ul>Open Telemetry traces.<ul><li>Experience building internal platforms or SDKs.</li></ul>&#65279;What We Offer:<ul><li>Full Medical Insurance</li><li>Gadget Allowance</li><li>The chance to work on cutting-edge AI projects integrating software, data and advanced models.</li><li>A collaborative environment where hands-on coding and architectural leadership go hand in hand.</li><li>Support for ongoing learning and professional development in AI/ML and data engineering.</li></ul>Other Details:<ul><li>Timings: 12pm - 9pm</li><li>Location: Karachi</li><li>Work Mode: Hybrid</li><li>Working Days: Monday - Friday</li></ul>&#65279;&#65279;About HR Ways: &#65279;&#65279;&#65279;HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. Join our WhatsApp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.Job Type: Full-timeWork Location: In person

Full Stack and kubernetes Developer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
i6GpPhb9iD</div>

AI Data Scientist

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

Explore 232+ Ml engineer in Karachi this December. Find roles across top companies and apply now to boost your career.