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software engineer Jobs in Lahore Pakistan

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ai ml data science engineer

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

Devsinc

<div>
 Devsinc is seeking an
 
 Associate AI Engineer
 
 who is passionate about building intelligent, production-grade AI solutions. In this role, you will work across the full machine learning lifecycle, from data pipelines to deploying scalable models and generative AI systems. You will have the opportunity to work on projects ranging from classic predictive models to cutting-edge LLM-powered applications. Passionate about MLOps and AI innovation? This is your perfect career kickstart!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and productionize machine learning models for classification, recommendation, and forecasting.
 </li>
 <li>
 Build and deploy scalable APIs and containerized services using Docker.
 </li>
 <li>
 Explore and implement Generative AI solutions, including RAG pipelines and agentic workflows with frameworks like LangChain/LangGraph.
 </li>
 <li>
 Engineer robust data pipelines to source, process, and feature-engineer data from SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
 </li>
 <li>
 Contribute to MLOps infrastructure, including CI/CD pipelines for training, validation, deployment, and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI-driven solutions into production systems.
 </li>
 <li>
 Stay up-to-date with industry trends in traditional ML, Generative AI, and MLOps practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
 </li>
 <li>
 6 months to 1 year of relevant experience (freelancing, or full-time)
 </li>
 <li>
 Proficiency in Python with a strong grasp of Object-Oriented Programming (OOP).
 </li>
 <li>
 Solid foundation in traditional ML concepts and libraries (e.g., scikit-learn, pandas).
 </li>
 <li>
 Hands-on experience with the LLM ecosystem (LangChain, LangGraph, Hugging Face, OpenAI APIs).
 </li>
 <li>
 Skilled in working with relational and non-relational databases (PostgreSQL, MongoDB).
 </li>
 <li>
 Experience deploying applications via REST APIs and containerization tools like Docker.
 </li>
 <li>
 Understanding of the end-to-end ML lifecycle, from data sourcing to monitoring.
 </li>
 <li>
 Strong problem-solving skills, a production-first mindset, and eagerness to learn emerging AI trends
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Associate Software Engineer - Artificial Intelligence

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

Code Graphers

About the Role:We are seeking a highly skilled AI Engineer (Freelance Contractor) to collaborate with our team on advanced AI and Machine Learning projects. The ideal candidate will have strong experience in developing, training, and deploying AI models and be able to work independently to deliver high-quality, production-ready solutions.Key Responsibilities:<ul><li>Design, develop, and implement AI/ML models for various business use cases.</li><li>Preprocess and analyze large datasets to extract actionable insights.</li><li>Fine-tune and deploy large language models (LLMs) and other deep learning architectures.</li><li>Collaborate with cross-functional teams to integrate AI models into existing systems.</li><li>Optimize models for performance, scalability, and cost efficiency.</li><li>Research and experiment with new AI techniques and frameworks to improve project outcomes.</li><li>Deliver project milestones within the agreed timeline and quality standards.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>3-5 years of experience in AI/ML development and model deployment.</li><li>Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.</li><li>Hands-on experience with LLMs, NLP, Computer Vision, or Generative AI.</li><li>Strong understanding of data preprocessing, model evaluation, and optimization techniques.</li><li>Experience working with cloud platforms (AWS, GCP, or Azure) and version control systems (Git).</li><li>Excellent problem-solving, communication, and time management skills.</li></ul>Preferred Qualifications:<ul><li>Experience with API integration, MLOps, or AI model deployment pipelines.</li><li>Contributions to open-source AI projects or publications in AI/ML research.</li><li>Prior experience working as a freelancer or remote AI contractor.</li></ul>Job Type: Full-timeWork Location: In person

Freelance Contractor (AI Engineer)

Marketing Tech Sol

Type: Full-time | Location: Onsite Starting Salary: PKR 160,000 &ndash; 200,000/monthAbout the Role:We are looking for a skilled AI/ML Engineer with strong expertise in Natural Language Processing (NLP) and a solid understanding of Computer Vision, Large Language Models (LLMs), and Generative AI.Key Responsibilities:<ul><li>Develop and fine-tune LLMs (e.g., GPT, BERT, LLaMA) for NLP applications.</li><li>Build and integrate Generative AI solutions for intelligent and creative use cases.</li><li>Implement text classification, sentiment analysis, chatbots, and summarization models.</li><li>Optimize and deploy AI models using TensorFlow, PyTorch, or Hugging Face.</li><li>Apply computer vision techniques such as object detection and image recognition.</li><li>Deploy AI models on cloud platforms (AWS, GCP, Azure).</li><li>Stay updated with the latest AI research and advancements.</li><li>Ensure compliance with ethical AI, data privacy, and security standards.</li></ul>Requirements:<ul><li>Minimum 2 years of experience in AI/ML development.</li><li>Strong experience in NLP, LLMs, and Generative AI.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face).</li><li>Proven experience in NLP, computer vision, or reinforcement learning.</li><li>Hands-on experience with cloud platforms (AWS, GCP, Azure) and model deployment.</li><li>Solid understanding of data preprocessing, feature engineering, and large-scale data handling.</li><li>Familiarity with containerization tools (Docker, Kubernetes) and CI/CD for ML workflows.</li><li>Strong problem-solving and analytical skills.</li><li>Experience with MLOps, model deployment, and cloud AI services.</li><li>Familiarity with LangChain and LangGraph frameworks.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li></ul>Apply Now:Email:advitandhealthsol@gmail.com WhatsApp: 03126155418Job Type: Full-timePay: Rs160,000.00 - Rs200,000.00 per monthWork Location: In person

Sr. AI/ML Engineer

Techeezy

Job Title: DevOps Engineer Location: Lahore Department: Backend Employment Type: Full-time Experience: 4-5 yearsAbout the RoleWe are seeking a skilled DevOps Engineer to join our backend team in Lahore. The ideal candidate will design, implement, and manage CI/CD pipelines, automate infrastructure, and ensure reliable deployment and performance of AI/ML systems and software applications.Key Responsibilities<ul><li>Design, implement, and maintain CI/CD pipelines for AI/ML models and software systems.</li><li>Build and manage scalable, secure, and high-availability cloud infrastructure (AWS, GCP, or Azure).</li><li>Automate deployment, monitoring, and scaling processes to improve reliability and efficiency.</li><li>Manage and optimize containerized environments using Docker and Kubernetes.</li><li>Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.</li><li>Monitor system health, manage incidents, and ensure the integrity of data and models.</li><li>Drive cost optimization, performance tuning, and security best practices across cloud environments.</li><li>Collaborate with cross-functional teams to streamline continuous integration and delivery workflows for AI-driven systems.</li><li>Contribute to system architecture design and security control implementations.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>4&ndash;5 years of hands-on experience as a DevOps or MLOps Engineer.</li><li>Strong understanding of CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.</li><li>Proven experience with cloud platforms, preferably AWS or GCP.</li><li>Proficiency in Linux, Docker, and Kubernetes.</li><li>Solid scripting skills in Python, Bash, or Shell.</li><li>Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack, etc.).</li><li>Good understanding of data pipelines, version control (Git), and model deployment workflows.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul>Preferred Qualifications<ul><li>Experience in system architecture design and security best practices.</li><li>Exposure to AI/ML model lifecycle management.</li><li>Knowledge of serverless architectures and microservices.</li><li>Experience with data engineering tools and practices.</li></ul>Please fill the form:https://forms.gle/78BqsJEHf7eF4fkt7Job Type: Full-timeWork Location: In person

Sr. DevOps Engineer

<div>
 Devsinc is looking for a motivated
 
 Associate AI/ML Engineer
 
 who wants to learn and grow in Generative AI, Computer Vision, and Machine Learning. You'll work with senior engineers to train, fine-tune, and deploy AI models for real-world projects like chatbots, image generation, and recommendation tools.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in training and fine-tuning AI models (LLMs, Vision-Language Models, and Diffusion models) under senior guidance
 </li>
 <li>
 Support the development of Computer Vision applications, including object detection, and image classification
 </li>
 <li>
 Help design and maintain data preprocessing and ingestion pipelines for model training and evaluation
 </li>
 <li>
 Participate in deploying and testing models via APIs (FastAPI, Flask) and containerized environments (Docker, Kubernetes)
 </li>
 <li>
 Contribute to MLOps tasks, experiment tracking, model versioning, and performance monitoring
 </li>
 <li>
 Collaborate with the team to integrate pre-trained or third-party models (OpenAI, Hugging Face, etc.) into production use cases
 </li>
 <li>
 Stay up to date with the latest tools and frameworks in AI, Deep Learning, and Generative AI
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field
 </li>
 <li>
 Experience: 06 to 12 Months (internship, freelance, or academic project experience in AI/ML)
 </li>
 <li>
 Strong foundation in Python programming and core libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
 </li>
 <li>
 Good understanding of ML algorithms, data preprocessing, and evaluation metrics
 </li>
 <li>
 Familiarity with model training and fine-tuning concepts (transformers, CNNs, diffusion models, etc.)
 </li>
 <li>
 Basic knowledge of statistics, probability, and data analysis concepts
 </li>
 <li>
 Exposure to data visualization tools such as Matplotlib, Seaborn, Plotly
 </li>
 <li>
 Understanding of version control systems like Git/GitHub
 </li>
 <li>
 Exposure to REST APIs, FastAPI, or Flask is a plus
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) is preferred
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Associate Software Engineer - AI/ML

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