data engineer

ai engineer

assistant engineer

devops engineer

senior software engineer

deep learning engineer

Fiblix

Position Type: Full-Time, Remote Location: Remote (Worldwide) Reports to: Technical Director / CTOAbout the RoleWe are seeking a highly experienced AI/ML Engineer &amp; Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.Key ResponsibilitiesAI/ML Development<ul><li>Design and build end-to-end machine learning systems for production deployment</li><li>Develop deep learning models (CNNs, RNNs, Transformers, GANs)</li><li>Implement recommendation engines, predictive analytics, and intelligent automation</li><li>Optimize models for performance, scalability, and cost efficiency</li></ul>LLM &amp; NLP Integration<ul><li>Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)</li><li>Build NLP pipelines for text classification, sentiment analysis, and entity recognition</li><li>Develop RAG systems, chatbots, and conversational AI features</li><li>Implement prompt engineering and chain-of-thought reasoning</li></ul>Data Science &amp; Analytics<ul><li>Conduct exploratory data analysis on large, complex datasets</li><li>Perform statistical analysis, hypothesis testing, and causal inference</li><li>Build automated data pipelines and feature engineering workflows</li><li>Create data visualizations and reporting dashboards</li></ul>MLOps &amp; Production Systems<ul><li>Design MLOps pipelines for continuous training and deployment</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Build scalable model serving infrastructure</li><li>Establish testing frameworks and deployment strategies</li></ul>AI Integrations<ul><li>Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)</li><li>Design RESTful APIs for model serving</li><li>Implement vector databases and semantic search capabilities</li><li>Build microservices architecture for AI features</li></ul>Required QualificationsExperience<ul><li>Minimum 5-8 years in AI/ML and Data Science</li><li>Minimum 5 years deploying production ML systems at scale</li><li>Minimum 3 years with deep learning frameworks</li><li>Minimum 2 years with LLMs and modern NLP</li><li>Proven track record of delivering impactful AI projects</li></ul>Education<ul><li>Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field</li></ul>Technical SkillsProgramming:<ul><li>Python (expert level), SQL, and one additional language (R, Scala, or Java)</li></ul>ML Frameworks:<ul><li>TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM</li></ul>NLP &amp; LLMs:<ul><li>Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs</li><li>Vector databases (Pinecone, Weaviate, Milvus, Chroma)</li></ul>MLOps:<ul><li>MLflow, Weights &amp; Biases, Docker, Kubernetes</li><li>Model serving (TensorFlow Serving, TorchServe, BentoML)</li></ul>Cloud Platforms (at least two):<ul><li>AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML</li></ul>Data Engineering:<ul><li>Apache Spark, data warehousing, stream processing</li></ul>Soft Skills<ul><li>Excellent English communication (written and verbal)</li><li>Self-motivated with ability to work independently</li><li>Strong problem-solving and analytical thinking</li><li>Experience working in remote, distributed teams</li></ul>Preferred Qualifications<ul><li>Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)</li><li>Open-source contributions to ML frameworks</li><li>Experience with AI safety and alignment</li><li>Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)</li><li>Domain expertise in enterprise software, fintech, healthcare, or e-commerce</li></ul>Job Type: Full-timePay: From Rs200,000.00 per month

Senior AI/ML Engineer & Data Scientist

Indigo Textile Pvt. Ltd.

JOB DESCRIPTIONWe are seeking a proactive and innovative AI Engineer to join our team. The ideal candidate will be passionate about AI technologies and eager to apply machine learning solutions to real-world challenges.KEY RESPONSIBILITIES<ul><li>Design, develop, and deploy machine learning models and AI applications.</li><li>Evaluate and improve the performance of AI models.</li><li>Collaborate with cross-functional teams to build AI-driven solutions.</li><li>Maintain technical documentation and ensure data privacy &amp; security.</li><li>Transform data science prototypes into production-ready ML systems.</li><li>Stay updated with the latest trends and advancements in AI and machine learning.</li></ul>REQUIRED SKILLS<ul><li>3 to 5 years experience and Hands-on projects in ML, deep learning, NLP, computer vision</li><li>GitHub or portfolio</li><li>Strong understanding of machine learning algorithms and deep learning frameworks</li></ul>Apply at hr@indigo.com.pkJob Type: Full-timeWork Location: In person

Sr. AI Engineer

Htech Solution Pvt. Ltd.

Job Title: AI Engineer / AI SpecialistIndustry: IT Security &amp; Surveillance Location: Karachi Experience: 3&ndash;5 YearsJob SummaryWe are looking for an AI Engineer to design, develop, and implement artificial intelligence solutions for security and surveillance systems. The role focuses on enhancing monitoring capabilities, automating threat detection, and improving operational efficiency through AI-driven technologies.Key Responsibilities<ul><li>Develop and deploy AI/ML models for surveillance and security applications.</li><li>Implement computer vision solutions such as object detection, facial recognition, and behavior analysis.</li><li>Integrate AI solutions with command &amp; control platforms, and monitoring tools.</li><li>Build predictive analytics models for threat detection and anomaly identification.</li><li>Optimize AI models for real-time processing and performance.</li><li>Collaborate with IT, networking, and cybersecurity teams for secure system deployment.</li><li>Maintain AI pipelines including data preprocessing, training, validation, and deployment.</li><li>Monitor model performance and continuously improve accuracy.</li><li>Ensure compliance with cybersecurity and data privacy standards.</li></ul>Required Skills &amp; Qualifications<ul><li>Strong knowledge of Machine Learning and Deep Learning concepts.</li><li>Experience with Python and AI frameworks (TensorFlow, PyTorch, OpenCV).</li><li>Knowledge of computer vision and video analytics.</li><li>Experience with REST APIs and system integration.</li><li>Understanding of data structures, algorithms, and model optimization.</li><li>Familiarity with cloud or edge AI deployment is a plus.</li></ul>Preferred Skills<ul><li>Experience in surveillance systems or security environments.</li><li>Knowledge of real-time analytics and AI automation.</li><li>Exposure to smart city or command &amp; control center projects.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer / AI Specialist

LN Technologies

We are looking for a AI/ML Engineer who is passionate about Artificial Intelligence and eager to work on real-world AI systems including Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, and Time-Series models.This role is ideal for someone with strong fundamentals in ML and Python who wants to grow into a production AI engineer.You will work under senior engineers to build, test, and deploy AI models in real-world applications.Key ResponsibilitiesMachine Learning Development<ul><li>Assist in building and training ML/DL models</li><li>Perform data preprocessing and feature engineering</li><li>Train and evaluate models using Python libraries</li><li>Run experiments and document results</li></ul>Computer Vision (Basic to Intermediate)<ul><li>Work with image datasets (classification, detection, segmentation)</li><li>Assist in implementing:</li><li>YOLO models</li><li>CNN-based classifiers</li><li>Image embedding models</li><li>Use OpenCV for image processing</li></ul>NLP &amp; Generative AI (Foundational Level)<ul><li>Work with transformer models (BERT, GPT, etc.)</li><li>Build basic:</li><li>Text classification</li><li>Summarization</li><li>Chatbot pipelines</li><li>Assist in implementing:</li><li>RAG systems</li><li>Embedding-based search</li><li>Prompt engineering experiments</li></ul>Time Series &amp; Predictive Modeling<ul><li>Build simple forecasting models</li><li>Work with:</li><li>ARIMA</li><li>Prophet</li><li>LSTM (basic understanding)</li><li>Analyze trends and detect anomalies</li></ul>Deployment &amp; MLOps (Basic Level)<ul><li>Build simple APIs using FastAPI or Flask</li><li>Assist in Dockerizing ML models</li><li>Understand basic cloud deployment concepts</li><li>Learn about model monitoring and logging</li></ul>Required Skills (Must Have)Technical<ul><li>Strong Python programming</li><li>Good understanding of:</li><li>Machine Learning fundamentals</li><li>Supervised vs Unsupervised learning</li><li>Overfitting/Underfitting</li><li>Model evaluation metrics</li><li>Experience with:</li><li>PyTorch or TensorFlow (at least one)</li><li>Scikit-learn</li><li>Pandas, NumPy</li><li>Basic understanding of Deep Learning concepts</li><li>Familiarity with Git</li></ul>Computer Vision<ul><li>Understanding of CNNs</li><li>Worked on at least one image-based project</li></ul>NLP<ul><li>Basic understanding of transformers</li><li>Experience using HuggingFace (preferred)</li></ul>Soft Skills<ul><li>Strong problem-solving mindset</li><li>Willingness to learn</li><li>Ability to read documentation and research papers</li><li>Good communication skills</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or related field</li></ul>Experience:<ul><li>2 to 3 years</li></ul>What Candidate Should Demonstrate<ul><li>GitHub with ML/DL projects</li><li>Kaggle participation (optional but good)</li><li>At least 2&ndash;3 real ML projects:</li><li>Image classification</li><li>NLP project</li><li>Predictive modeling project</li></ul>Bonus Points (Nice to Have)These are NOT mandatory but will strongly increase selection chances:<ul><li>Experience with:</li><li>YOLO (v5/v8)</li><li>Vision Transformers (ViT, DINOv2)</li><li>CLIP embeddings</li><li>Worked on:</li><li>RAG pipelines</li><li>Vector databases (FAISS, Pinecone)</li><li>Fine-tuned an LLM (LoRA / QLoRA)</li><li>Built and deployed a model using FastAPI</li><li>Used Docker</li><li>Experience with Azure / AWS</li><li>Experience handling large datasets</li><li>Knowledge of SQL</li><li>Basic understanding of distributed training</li><li>Open-source contributions</li><li>Strong math background (linear algebra, probability)</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience with time-series forecasting models like ARIMA, Prophet, or LSTM?</li><li>Please share your current package. </li><li>Please share your expected package. </li><li>How soon can you join?</li><li>Do you have at least 2&ndash;3 years of experience working with Machine Learning models using Python libraries (e.g., PyTorch, TensorFlow, Scikit-learn)?</li><li>Have you worked on at least one image-based project involving Convolutional Neural Networks (CNNs) or image classification?</li><li>Are you familiar with transformer models (e.g., BERT, GPT) and have experience using libraries like HuggingFace for NLP tasks? </li><li>Have you built and deployed an ML model using FastAPI or Flask, including Dockerizing the model? </li></ul>Work Location: In person

Senior AI/ML Developer (Morning Shift)

Tjara.ca

Company: PCMCI Quantum Location: DHA Phase 6, Karachi (Onsite) Job Type: Full-Time Experience Required: 0&ndash;2 YearsJob Timings: 2 pm to 10pm Monday to FridayIntroductionAt PCMCI Quantum, you&rsquo;ll have the opportunity to be part of a visionary team that&rsquo;s transforming AI-powered security solutions for the real world. Working on cutting-edge AI technology, make a real impact, and accelerate your career in a dynamic and fast-growing field.Key ResponsibilitiesAs a Computer Vision Engineer at PCMCI Quantum, you will be responsible for:- Developing, training, and fine-tuning computer vision models for detecting people and firearms in video streams. - Work with object detection models (e.g., YOLO, Faster R-CNN, SSD). - Optimize models for real-time inference on RTSP streams. - Improve detection accuracy while minimizing false positives. - Collect, clean, annotate, and manage image and video datasets for object and person detection. - Perform data augmentation (lighting, occlusion, angles, motion blur). - Collaborate with backend engineers to integrate models into the production system. - Evaluate model performance using metrics like precision, recall, mAP, and inference latency. - Optimize models for deployment on GPU-based systems. - Assist in converting models for optimized runtimes (e.g., TensorRT &ndash; optional).Required QualificationsWe are looking for a MALE Candidate with:- Bachelor&rsquo;s degree (or final-year student) in Computer Science, AI, ML, Data Science, Electronics, or a related field. - Strong fundamentals in Machine Learning and Deep Learning. - Hands-on experience with Python. - Experience with at least one deep learning framework: PyTorch (preferred) or TensorFlow. - Understanding of Computer Vision concepts: Object detection, Bounding boxes, CNNs. - Basic experience with OpenCV and image/video preprocessing. - Familiarity with Linux environments.Preferred / Good-to-Have SkillsIt would be a bonus if you have:- Experience with YOLO (v5/v8/v11) or similar detection frameworks. - Exposure to RTSP video streams, FFmpeg, or GStreamer. - Basic understanding of GPU acceleration (CUDA concepts). - Experience working on academic or personal ML projects. - Familiarity with Docker (not mandatory).BonusExperience with video stream processing or multi-camera systems.Why Join Us?Work on real-world, impactful applications of AI and computer vision. Join a collaborative team at the forefront of intelligent systems development. Competitive salary and career growth opportunitiesJob Type: Full-timeApplication Question(s):<ul><li>Age?</li><li>Current Salary?</li><li>Expected Salary?</li><li>Notice Period Details?</li><li>Wiling to work in Second Shift ( 2pm to 10 pm )</li></ul>Work Location: In person

Computer Vision Engineer - DHA Phase 6 - From 2PM to 10PM

Astrik

We&rsquo;re Hiring: AI Engineer (Onsite)Are you passionate about Artificial Intelligence and eager to work on cutting-edge projects that push the boundaries of what&rsquo;s possible?We&rsquo;re looking for talented AI Engineers with 1&ndash;5 years of experience to join our innovative team!What You&rsquo;ll Do:Design, develop, and deploy AI and ML models for real-world applications.Work across areas such as Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Generative AI (LLMs, diffusion models, etc.).Integrate AI models into scalable backend systems and APIs.Research and experiment with the latest tools and frameworks to improve performance and accuracy.Technical Skills We&rsquo;re Looking For:Programming: Python (NumPy, Pandas, Scikit-learn), JavaScript/TypeScript (optional)Deep Learning Frameworks: TensorFlow, PyTorch, KerasNLP &amp; LLMs: Hugging Face Transformers, LangChain, OpenAI API, vector databases (Pinecone, FAISS, Chroma)Computer Vision: OpenCV, YOLO, Detectron2, CLIP, Stable DiffusionMLOps: MLflow, Docker, Kubernetes, FastAPI, RESTful API integrationData Engineering: SQL, ETL pipelines, data preprocessing, feature engineeringCloud &amp; Deployment: AWS, Azure, or Google Cloud (SageMaker, Vertex AI, etc.)Bonus Skills: Prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuningExperience Required: 1 to 5 yearsLocation: Onsite (details will be shared during the interview)Salary: Competitive &mdash; based on skill set and experienceIf you love building intelligent systems, experimenting with AI models, and collaborating with passionate innovators &mdash; we&rsquo;d love to meet you!Job Type: Full-timeWork Location: In person

AI Engineer (Onsite)

Conure Information Technology Services

Role: Data Science Engineer Employment Type: Full-time Location: Karachi (Hybrid)Experience: 5+ yearsAbout the Role We are seeking a Data Science Engineer to apply analytics and machine learning techniques to CRM data to improve insights, automation, and decision-making.Key Responsibilities<ul><li>Analyze structured and unstructured CRM data.</li><li>Build predictive and analytical models.</li><li>Collaborate with engineering teams to productionize models.</li><li>Develop data-driven features and insights.</li><li>Evaluate model performance and improve accuracy.</li></ul>Required Skills<ul><li>Strong programming skills (Python preferred).</li><li>Experience with data analysis and modeling.</li><li>Knowledge of statistics and machine learning fundamentals.</li><li>Experience working with large datasets.</li></ul>Nice to Have<ul><li>Experience with CRM or customer analytics.</li><li>Exposure to MLOps practices.</li><li>Experience with recommendation or forecasting models.</li></ul>Job Type: Full-timeWork Location: Hybrid remote in Karachi

Data Science Engineer-CRM

Explore 484+ Deep learning engineer in Karachi this February. Find roles across top companies and apply now to boost your career.