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senior software engineer Jobs in Lahore Pakistan

senior software engineer

software engineer Jobs in Lahore Pakistan

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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

Machine Learning Engineer

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

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

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

Data Sceintist

Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
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 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
 </li>
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 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
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 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
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 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
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 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
 </li>
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 Document models, workflows, and results following best practices for reproducibility and governance.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
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 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
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 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
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 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
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 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
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 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
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 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
 </li>
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 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
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 </ul>
 
 
</div>

Data Scientist

InvoZone

Job descriptionInvoZone is a leading software development company headquartered in the US with offices in Canada, Malaysia and Pakistan. We offer a combination of consulting, outsourcing, and specialized services to a global clientele across all types of web and mobile app development projects. The company was launched by experienced and visionary IT professionals with more than 10 years of industry experience in the fraternity of software development.We take pride in our diversified team that consists of people from both local and international backgrounds working together to strive for excellence. If you think you have the technical skills to contribute to our fast-growing business, feel free to apply. We are seeking a skilled AI/ML Engineer with strong expertise in Data Science and Data Engineering to design, develop, and deploy machine learning models and data pipelines. The ideal candidate will work on extracting actionable insights from large datasets, building scalable data solutions, and contributing to AI-driven products. Key Responsibilities:<ul><li>Develop and deploy machine learning and deep learning models for business use cases.</li><li>Design, implement, and maintain ETL pipelines and large-scale data processing workflows.</li><li>Analyze structured and unstructured data to generate insights and recommendations.</li><li>Collaborate with cross-functional teams to integrate AI/ML models into production systems.</li><li>Optimize algorithms for performance, scalability, and accuracy.</li><li>Implement data governance, validation, and quality standards.</li></ul>Required Skills &amp; Expertise:<ul><li>Proficiency in Python, R, or Scala for AI/ML and data engineering tasks.</li><li>Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Strong knowledge of data engineering tools: SQL, Spark, Hadoop, Airflow, or similar.</li><li>Experience with cloud platforms: AWS, GCP, or Azure.</li><li>Solid understanding of statistical modeling, predictive analytics, and data visualization.</li><li>Familiarity with deploying ML models using APIs or microservices architecture.</li><li>Experience of NLP, Computer Vision, or recommendation systems.</li><li>Experience with real-time data streaming (Kafka, Kinesis).</li><li>Familiarity with MLOps practices and CI/CD for ML pipelines.</li></ul>Job Type: Full-timeJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML: 1 year (Preferred)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI/ML/Data Science Engineer

Explore 597+ Machine learning engineer in Lahore Pakistan this November. Find roles across top companies and apply now to boost your career.

597 machine learning engineer jobs IN Lahore Pakistan

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer

Data Sceintist

Data Scientist

AI/ML/Data Science Engineer