ai engineer Jobs in Procurement Jobs In Lahore Pakistan

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machine learning engineer

Rough Copies Pvt Ltd

Location: Johar Town, Lahore Timing: 7 PM &ndash; 2 AMAbout the Role: We are hiring a Machine Learning Engineer with hands-on experience in Recommendation Systems and TensorFlow. You will design, train, and deploy ML models, optimize pipelines, and work on real-world AI applications.Key Responsibilities:<ul><li>Build and optimize recommendation systems (collaborative/content-based)</li><li>Develop ML models using TensorFlow</li><li>Integrate ML models into production pipelines</li><li>Collaborate with cross-functional teams and deliver results on time</li></ul>Requirements:<ul><li>2&ndash;3 years of professional ML experience</li><li>Strong Python, NumPy, Pandas skills</li><li>Experience with TensorFlow and model deployment</li><li>Knowledge of recommendation systems</li><li>Ability to work independently in a night shift environment</li></ul>Preferred:<ul><li>API integration experience</li><li>Experience with real-time ML systems</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience building recommendation systems?</li><li>Have you worked with TensorFlow for model building and deployment?</li></ul>Experience:<ul><li>Machine Learning : 2 years (Required)</li></ul>Work Location: In person

Machine 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

Code Graphers

Key ResponsibilitiesModel Development &amp; Implementation<ul><li>Design, train, and fine-tune machine learning and deep learning models for NLP, computer vision, and predictive analytics tasks.</li><li>Work with frameworks like TensorFlow, PyTorch, and Scikit-learn for building and deploying ML models.</li><li>Assist in developing RAG (Retrieval Augmented Generation) pipelines and LLM-based applications under senior supervision.</li><li>Implement and maintain APIs using frameworks like FastAPI, Flask, or Django for ML model integration.</li></ul>Data Handling &amp; Preprocessing<ul><li>Perform data cleaning, feature extraction, and transformation for model readiness.</li><li>Contribute to building and maintaining data pipelines for training and inference stages.</li></ul>Deployment &amp; MLOps<ul><li>Containerize ML solutions using Docker and participate in deploying models to production environments.</li><li>Support MLOps workflows, version control using DVC, and CI/CD pipelines for continuous delivery.</li></ul>Research &amp; Collaboration<ul><li>Stay updated with the latest trends in AI, LLMs, and computer vision.</li><li>Collaborate with cross-functional teams, data engineers, and senior ML engineers to ensure robust system integration.</li><li>Document workflows, experiments, and technical findings clearly.</li></ul>QualificationsEducation:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.</li></ul>Experience:<ul><li>2&ndash;3 years of hands-on experience in machine learning model development and deployment.</li><li>Strong understanding of fundamental ML algorithms and their mathematical background.</li><li>Exposure to NLP, Computer Vision, or LLM-based systems is preferred.</li></ul>Technical Skills:<ul><li>Proficient in Python and familiar with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Knowledge of LLMs, LangChain, or RAG frameworks is a plus.</li><li>Experience with RESTful APIs and backend integration.</li><li>Familiarity with Git, Docker, and cloud platforms (AWS, GCP, or Azure).</li></ul>Nice to Have<ul><li>Experience with LoRA, QLoRA, or model fine-tuning techniques.</li><li>Familiarity with image classification, object detection, or segmentation tasks.</li><li>Exposure to auto-scaling, model optimization, or embedded ML applications.</li><li>Interest in learning advanced AI concepts like multi-agent systems, meta-learning, and generative AI.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Did you have experience with Computer vision, LLM, nlp and Audio?</li></ul>Experience:<ul><li>Machine Learning : 2 years (Required)</li></ul>Work Location: In person

Tkxel

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 <ul>
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 Experience: 4+ years
 
 Develop, implement, and optimize
 
 time series forecasting models
 
 .
 
 </li>
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 Build and maintain
 
 end-to-end ML pipelines
 
 for data ingestion, preprocessing, model training, and deployment.
 
 </li>
 <li>
 Apply
 
 machine learning algorithms
 
 (regression, classification, ensemble methods, boosting, etc.) to business use cases.
 
 </li>
 <li>
 Design and train
 
 deep learning architectures
 
 (LSTM, GRU, CNNs, Transformers) for sequential and structured data.
 
 </li>
 <li>
 Perform
 
 feature engineering, hyperparameter tuning, and model evaluation
 
 .
 
 </li>
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 Collaborate with data engineers to ensure
 
 data quality, scalability, and efficient model deployment
 
 .
 
 </li>
 <li>
 Deploy models to
 
 production environments
 
 .
 
 </li>
 <li>
 Familiarity with
 
 MLOps best practices
 
 (versioning, monitoring, CI/CD for ML).
 
 </li>
 <li>
 Monitor, retrain, and maintain models for
 
 continuous improvement and drift detection
 
 .
 
 </li>
 <li>
 Document processes, models, and findings to ensure
 
 knowledge sharing and reproducibility
 
 
 </li>
 </ul>
</div>

Tech786

Company DescriptionCodeFlamme is committed to turning innovative ideas into reality through cutting-edge digital transformation solutions. The company emphasizes creativity, technology, and business growth, delivering exceptional tech excellence for its clients. At CodeFlamme, we empower businesses by providing reliable and impactful digital solutions. Join us to make a difference in the world of #DigitalTransformation and #Innovation.Role DescriptionThis is a full-time, on-site role for a Senior Machine Learning Engineer based in Lahore. In this position, you will design and implement advanced machine learning models and algorithms, analyze complex datasets, and develop innovative solutions for diverse projects. Collaborating with cross-functional teams, you will employ state-of-the-art techniques such as diffusion models, neural networks, and pattern recognition to solve real-world problems while optimizing performance, scalability, and efficiency.Qualifications<ul><li>Strong expertise in Machine Learning fundamentals, including Pattern Recognition and Neural Networks</li><li>Proficiency in Computer Science concepts, including Algorithms and Data Structures</li><li>Solid understanding of Statistics and Mathematical foundations critical for data modeling</li><li>Excellent analytical and problem-solving skills</li><li>Experience working in a collaborative environment with cross-functional teams</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field</li><li>Previous experience with large-scale machine learning projects is a plus</li></ul>Core Technical Skills<ul><li>Diffusion Models (Stable Diffusion, SDXL, DALL&middot;E architecture)</li><li>Null-text inversion techniques</li><li>Latent-space manipulation &amp; editing</li><li>Attention mechanisms &amp; cross-attention control</li><li>PyTorch (required), TensorFlow (nice-to-have)</li><li>SSIM/LPIPS metrics &amp; quality optimization</li><li>GPU optimization (A100/H100 inference tuning)</li></ul>Experience Requirements<ul><li>3+ years of professional experience in Machine Learning and Computer Vision</li><li>Proven experience in shipping production diffusion model features</li></ul>Job Type: Full-timePay: From Rs80,000.00 per monthWork Location: In person

Senior Machine Learning Engineer

Innovadel Technologies

About the Role: We are looking for a passionate Machine Learning Engineer Intern to join our AI team. The ideal candidate has a strong foundation in Python and a keen interest in developing and deploying machine learning models and AI-driven solutions.Key Responsibilities:<ul><li>Assist in designing, training, and testing machine learning models.</li><li>Support data preprocessing, feature engineering, and model evaluation tasks.</li><li>Work with senior engineers on projects involving NLP, LLMs, RAG, and knowledge graphs.</li><li>Conduct experiments and document results clearly.</li><li>Stay updated on recent AI/ML trends and frameworks.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Only candidates with completed degrees)</li><li>Solid understanding of Python, NumPy, Pandas, and Scikit-learn.</li><li>Familiarity with machine learning algorithms and model deployment concepts.</li><li>Knowledge of TensorFlow, PyTorch, or similar frameworks is a plus.</li><li>Strong analytical and problem-solving skills.</li></ul>What We Offer:<ul><li>Hands-on experience with real-world AI projects.</li><li>full-time role upon successful completion of internship.</li></ul>Job Type: Full-timePay: From Rs25,000.00 per monthWork Location: In person

Machine Learning Intern

Sintov

About the RoleWe are looking for a highly skilled Data Scientist (AI/ML + Azure) to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analytics, and cloud-based AI solutions&mdash;particularly using Microsoft Azure. You will design, build, and deploy end-to-end AI/ML models and data pipelines that drive business impact and innovation.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML models and predictive analytics solutions using Azure Machine Learning and related services.</li><li>Build, optimize, and maintain data pipelines and ETL processes for large-scale datasets.</li><li>Collaborate with business stakeholders to translate requirements into data-driven solutions.</li><li>Conduct data wrangling, feature engineering, and model evaluation to ensure model robustness and accuracy.</li><li>Deploy and monitor models in production using MLOps best practices.</li><li>Utilize Azure Data Lake, Databricks, and Synapse Analytics for scalable data management and analysis.</li><li>Present insights and recommendations through data visualization and storytelling tools (e.g., Power BI, Tableau).</li><li>Continuously research and experiment with emerging AI technologies to enhance business processes.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>5+ years of experience in Data Science or Machine Learning Engineering.</li><li>Hands-on experience with Azure AI/ML tools, including Azure Machine Learning, Databricks, Synapse, and Cognitive Services.</li><li>Strong programming skills in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).</li><li>Experience with SQL, data modeling, and data warehouse architectures.</li><li>Familiarity with MLOps, CI/CD, and version control (Git).</li><li>Solid understanding of statistics, probability, and experimental design.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul>Preferred Qualifications<ul><li>Azure certifications such as Azure Data Scientist Associate (DP-100) or Azure AI Engineer Associate (AI-102).</li><li>Experience with LLMs (Large Language Models), Generative AI, or NLP-based solutions.</li><li>Exposure to Power BI, Tableau, or other visualization tools.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Work Location: In person

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Explore 620+ Machine learning engineer in Procurement Jobs In Lahore Pakistan this November. Find roles across top companies and apply now to boost your career.

620 machine learning engineer jobs IN Procurement Jobs In Lahore Pakistan

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Intern

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