data scientist

automation engineer

ai/ml engineer

cloudera data engineer

data engineer

deep learning engineer

AxcelerateAI

We are a software development company with a strong specialised focus on developing artificial intelligence-based solutions for real-world industrial problems. We focus on using state-of-the-art AI technologies to solve complex industrial problems.We are looking for a Machine Learning (ML) engineer, with a specialisation in deep learning, to join our team.Position DetailsType: Full-timeLocation: In-person, Johar Town LahoreJob DescriptionCoordinating with an in-house or external data team to design a strategy for collecting appropriate data for building a deep learning model for the required taskDesigning, building and training deep learning models using state-of-the-art architectures including CNNs, LSTMs, attention networks and transformers. Training is either done on our on-premise servers or on the cloud (e.g., using AWS servers)Deploying the final model on a server and providing an interface or APIs to interact with itMinimum RequirementsBachelor&rsquo;s or Master&rsquo;s degree in EE, CS or Data ScienceAbility to formulate a problem as a machine learning problemA reasonable theoretical/mathematical understanding of various deep learning architecturesA reasonable theoretical/mathematical understanding of various objective/loss functionsStrong programming skills in PythonExtensive experience in either TensorFlow or PyTorchPrior experience of using deep learning either in research or industrial settingNo minimum prior industry experience is needed if the candidate fulfills the above requirements.Job Type: Full-timeWork Location: In person

Machine Learning Engineer

CAN AT TOTAL

We are seeking a highly skilled AI/ML and Python Engineer with expertise in Python, along with experience in deep learning, computer vision, and data analysis. The ideal candidate should be proficient in frameworks like PyTorch, Keras, OpenCV, and Django, with strong problem-solving abilities and a passion for AI-driven innovation.Key Responsibilities:<ul><li>Develop and optimize machine learning models using PyTorch and Keras</li><li>Work on computer vision and image processing projects with OpenCV</li><li>Design and implement data pipelines and preprocessing techniques</li><li>Perform exploratory data analysis (EDA) and statistical modeling</li><li>Build and deploy AI-powered applications using Django and React JS</li><li>Collaborate with teams to develop AI-driven solutions for real-world problems</li><li>Utilize Pandas, and NumPy for data manipulation and insights</li><li>Deploy models efficiently using Git, GitHub, and cloud services</li></ul>Job Type: Full-timeWork Location: In person

AI Machie Learning / Python Developer

Techionik Ltd

An AI/ML Engineer is responsible for designing, developing, and deploying machine learning models and artificial intelligence systems that solve real-world problems. The role involves working with large datasets, building predictive models, optimizing algorithms, and integrating ML solutions into production environments. AI/ML Engineers work closely with data scientists, software engineers, and product teams to deliver scalable and efficient AI-driven applications.Key Responsibilities<ul><li>Develop, train, test, and deploy machine learning and deep learning models.</li><li>Collect, preprocess, and analyze large datasets for model training and evaluation.</li><li>Research and implement cutting-edge ML algorithms and techniques.</li><li>Build end-to-end ML pipelines (data ingestion &rarr; model training &rarr; evaluation &rarr; deployment).</li><li>Optimize model performance (accuracy, latency, scalability).</li><li>Collaborate with data scientists to translate business problems into ML solutions.</li><li>Integrate ML models into production systems using APIs, cloud services, or MLOps tools.</li><li>Monitor, maintain, and retrain models in production to ensure long-term performance.</li><li>Document model architecture, data workflow, and implementation details.</li></ul>Required Skills<ul><li>Strong experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).</li><li>Proficiency in data processing tools (Pandas, NumPy, Spark).</li><li>Knowledge of statistics, probability, and linear algebra.</li><li>Experience with machine learning algorithms (regression, classification, NLP, CV, deep learning, etc.).</li><li>Familiarity with cloud platforms such as AWS, GCP, or Azure.</li><li>Understanding of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes, CI/CD).</li><li>Strong problem-solving and analytical skills.</li></ul>Preferred Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li><li>Experience with big data technologies (Hadoop, Spark).</li><li>Hands-on experience with LLM integration or generative AI.</li><li>Ability to build scalable ML architectures and work with REST APIs or microservices.</li></ul>Soft Skills<ul><li>Excellent communication and collaboration skills.</li><li>Ability to work in cross-functional teams.</li><li>Strong attention to detail and documentation.</li><li>Creative thinking and innovation mindset.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

One Machine Software

We are seeking a highly skilled AI/ML and Python Engineer with expertise in Python, along with experience in deep learning, computer vision, and data analysis. The ideal candidate should be proficient in frameworks like PyTorch, Keras, OpenCV, and Django, with strong problem-solving abilities and a passion for AI-driven innovation.Key Responsibilities:<ul><li>Develop and optimize machine learning models using PyTorch and Keras</li><li>Work on computer vision and image processing projects with OpenCV</li><li>Design and implement data pipelines and preprocessing techniques</li><li>Perform exploratory data analysis (EDA) and statistical modeling</li><li>Build and deploy AI-powered applications using Django and React JS</li><li>Collaborate with teams to develop AI-driven solutions for real-world problems</li><li>Utilize Pandas, and NumPy for data manipulation and insights</li><li>Deploy models efficiently using Git, GitHub, and cloud services</li></ul>Job Type: Full-timeJob Type: Full-timeWork Location: In person

AI / Machine Learning/Python Developer

GTechSources

We are seeking an experienced AI / Machine Learning Engineer to join our dynamic team. This role requires a highly skilled professional capable of handling the entire lifecycle of machine learning projects, from ideation to deployment. The ideal candidate will bring deep expertise in generative AI, computer vision and classical machine learning/ deep learning models, and possess a strong ability to design and implement complex AI solutions.Key Responsibilities:<ul><li>Develop end-to-end machine learning solutions, including problem framing, data acquisition, solution architecture, model development, testing, and deployment</li><li>Train/Fine-tune generative AI models using state-of-the-art training techniques such as LoRA/QLoRA</li><li>Leverage GenAI for cutting edge solutions including RAG (enterprise), agentic workflows, image/video gen, wrapper apps etc. using APIs, orchestration frameworks, observability and evaluation libraries</li><li>Develop and optimize advanced deep learning models for both NLP and Computer Vision, leveraging transformer-based architectures for tasks like text classification, named entity &emsp;&emsp;recognition, image segmentation, and object detection.</li><li>Develop and implement advanced data scraping and web crawling pipelines to collect and preprocess large-scale datasets</li><li>Implement appropriate ML/DL models and algorithms to address business-specific challenges</li><li>Collaborate with cross-functional teams, including clients, product managers, and domain experts, to define project goals and requirements</li><li>Stay updated with the latest trends and breakthroughs in AI/ML and integrate relevant advancements into the development process</li><li>Manage deployment pipelines, ensuring seamless integration of ML models with production systems</li><li>Drive performance optimization for models and systems, including hyper parameter tuning and retraining strategies.</li></ul>Requirements:Education: <ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related fields</li></ul>Experience:<ul><li>Minimum 3 years of professional experience in machine learning/AI</li><li>Proven expertise in handling end-to-end ML project lifecycles, from data processing to production deployment</li></ul>Technical Skills:<ul><li>Proficient in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV etc. and API development using Flask, FastAPI etc</li><li>Expertise in LangChain, Pinecone, Chromadb, OpenAI Functions, FAISS, and other tools for building RAG-based systems and mainstream agentic workflows for dynamic automation and contextual retrieval</li><li>Strong experience with modern deep learning architectures, including CNNs, RNNs, Transformers (BERT, ViTs, GPT), GANs, Diffusion Models, and GNNs for diverse AI applications.</li><li>Hands-on experience with large-scale model training and fine-tuning on cloud platforms (AWS, GCP, Azure)</li><li>Solid knowledge of data preprocessing, augmentation, and feature engineering techniques</li><li>Familiarity with MLOps tools for model versioning, monitoring, and deployment (e.g., MLflow, Docker, Kubernetes)</li></ul>Soft Skills:<ul><li>Strong problem-solving skills with an analytical mindset</li><li>Excellent communication and ability to work collaboratively in a team environment</li></ul>Why Join Us:<ul><li>Work on cutting-edge projects that push the boundaries of AI and ML</li><li>Build AI solutions that solve real-world problems and help businesses become efficient and grow</li><li>Collaborate with a team passionate about innovation and growth</li><li>Access to the latest tools, technologies, and resources for professional development</li><li>Be part of a global team and a supportive work environment that values diversity, creativity, and technical excellence</li></ul>What We Offer:<ul><li>Market-competitive salary</li><li>Weekends off (Saturday and Sunday)</li><li>22 paid holidays</li><li>Medical reimbursement</li><li>Probationary and annual increments</li><li>Opportunities for professional growth and development</li><li>A collaborative and innovative work environment</li></ul>Working Hours:<ul><li>12:00 PM &ndash; 9:00 PM</li></ul>We are excited to work with individuals who are passionate about making a meaningful impact through AI innovation. Apply today to be part of our journey!Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your current salary?</li><li>What is your salary expectation?</li><li>Please note that this is an onsite position, and our standard operating hours are from 12 PM to 9 PM, Monday to Friday. Are you available and willing to work during these hours?</li></ul>Experience:<ul><li>AI/ML engineering: 3 years (Required)</li><li>FastAPI: 3 years (Required)</li><li>Python: 3 years (Required)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI/ML Engineer with FastAPI Experience (3+ Years Required)

AI/Machine Learning/Python Developer

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world&rsquo;s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
 
 
 You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
 
 
 
 What You&rsquo;ll Do
 
 
 
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 Improve the performance of our models and algorithms already in production
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 Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam
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 Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines
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 Convert state-of-the-art research prototypes into reliably working product features
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 Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features
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 Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.
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 Build automated deployment, validation, and active learning pipelines.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
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 Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field.
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 Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred)
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 Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches.
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 Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
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 Strong experience in Python or C++
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 Hands-on experience in building embedded algorithms and applications
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 Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
 </li>
 <li>
 Prior experience with Eigen library and RTOS is a strong plus
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here.
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Computer Vision Engineer

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