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machine learning engineer Jobs in Lahore Pakistan

machine learning engineer

ai/ml engineer

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ai ml engineer

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

Expert System Solution

About the RoleWe are seeking a Senior AI/ML Engineer with strong technical expertise and exceptional communication skills. The ideal candidate must be a closer, someone who can take ownership, deliver results, and confidently drive AI/ML solutions from concept to deployment.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end AI/ML models and data pipelines.</li><li>Build predictive models, NLP solutions, and deep learning architectures.</li><li>Collaborate with cross-functional teams to understand business needs and deliver practical AI solutions.</li><li>Optimize model performance, scalability, and accuracy.</li><li>Conduct research on latest AI trends and implement relevant advancements.</li><li>Present findings, models, and results clearly to technical and non-technical stakeholders.</li><li>Lead critical problem-solving discussions and ensure timely closure of tasks.</li></ul>Requirements<ul><li>4+ years of hands-on experience in Machine Learning, AI model development, and data engineering.</li><li>Strong expertise in Python, TensorFlow/PyTorch, Scikit-Learn, NLP, Deep Learning, and Cloud (AWS/GCP/Azure).</li><li>Solid understanding of data structures, algorithms, statistical modeling, and MLOps frameworks.</li><li>Proven experience in building production-grade AI solutions.</li><li>Exceptional communication skills (must be able to explain complex ideas with clarity).</li><li>A results-driven mindset, must be a closer who takes ownership and delivers.</li></ul>Nice to Have<ul><li>Experience with LLMs, Generative AI, and model fine-tuning.</li><li>Experience in API integrations and microservices.</li><li>Exposure to data visualization tools and dashboards.</li></ul>Job Type: Full-timeWork Location: In person

Hazen Technologies Inc

<div>
 
 Position:
 
 Junior AI/ML Engineer
 
 
 
 
 Work Conditions:
 
 
 Full-time | Onsite l 02:00 PM to11:00 PM PKT
 
 
 
 
 Job Location:
 
 
 Gulberg III, Lahore, Pakistan
 
 
 
 Reporting to:
 
 Head of Engineering
 
 
 
 
 
 Company Overview:
 
 
 
 
 
 
 
 Hazen Technologies
 
 
 is a leading technology company with operations in the USA and Pakistan, specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions across diverse industries. In addition, the company provides specialized BPO and custom software development services to reputable clients in the United States.
 
 
 
 Our team
 
 consists of highly skilled and innovative professionals dedicated to pushing the boundaries of what's possible with AI and Machine Learning.
 
 
 
 Position Overview:
 
 
 
 We are looking for a motivated and talented Junior AI/ML Engineer to join our dynamic team and contribute to developing and delivering cutting-edge solutions for our clients. You will work closely with our senior engineers to design, develop, and implement AI and ML solutions for our clients. This is a full-time, permanent position with competitive salary and benefits.
 
 
 
 
 Key Responsibilities
 
 :
 
 
 
 <ul>
 <li>
 Collaborate with senior engineers to design and develop AI and ML solutions
 </li>
 <li>
 Write and maintain code for AI and ML algorithms
 </li>
 <li>
 Perform data analysis and cleaning to prepare data for model training
 </li>
 <li>
 Train and test models using various machine learning techniques
 </li>
 <li>
 Optimize models for performance and scalability
 </li>
 <li>
 Communicate project progress and results to team members and clients
 </li>
 <li>
 Stay up to date with the latest developments in AI and ML technologies
 
 
 
 </li>
 </ul>
 
 
 Key Requirements:
 
 
 
 
 <ul>
 <li>
 Fresh or experienced candidate having proficiency in Python
 </li>
 <li>
 Strong understanding of AI and ML concepts and algorithms
 </li>
 <li>
 Familiarity with Azure-based AI technologies will be considered a strong advantage.
 </li>
 <li>
 Proficiency in OOP and databases concepts
 </li>
 <li>
 Strong problem-solving skills and the ability to work in a fast-paced environment
 </li>
 <li>
 Good English communication and teamwork skills
 </li>
 <li>
 Ability and passionate to learn quickly
 </li>
 <li>
 Bachelors' / Masters' degree preferably in AI/ML/Data Science or Computer Science, Engineering, or a related field
 
 
 
 </li>
 </ul>
 
 Why Hazen Technologies:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge projects in the exciting field of AI and ML
 </li>
 <li>
 Collaborative and innovative work environment
 </li>
 <li>
 Attractive salary and fringe benefits
 </li>
 <li>
 Career growth and development opportunities
 </li>
 <li>
 Supportive and inclusive company culture
 
 
 
 </li>
 </ul>
 If you are passionate about AI and ML and want to be a part of a dynamic and forward-thinking team, then Hazen Technologies is the place for you. Apply now and join us in shaping the future of technology.
</div>

Junior AI/ML Engineer

Alpha Group of Companies

Company OverviewWe build scalable and intelligent systems to tackle complex real-world challenges in manufacturing, healthcare, retail, and e-commerce. Our culture fosters continuous learning, collaboration, and cutting-edge experimentation.Job SummaryWe are looking for a Senior AI/ML Engineer with strong hands-on expertise in developing, deploying, and scaling advanced machine learning and generative AI solutions. This role is designed for someone with deep skills in core AI areas (LLMs, deep learning, data pipelines, and MLOps), while being comfortable exploring adjacent technologies.You&rsquo;ll work on end-to-end AI/ML pipelines, from data preparation to production deployment, and lead initiatives that push the boundaries of Generative AI, LLM customization, and AI-first applications. You will also mentor team members and collaborate with cross-functional teams to deliver enterprise-grade AI systems.Key Responsibilities<ul><li>Design, train, and deploy ML/DL models for NLP, Computer Vision, or multimodal use cases.</li><li>Work with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Hugging Face, JAX, Diffusers.</li><li>Apply transfer learning, fine-tuning, and optimization techniques for LLMs and generative models.</li><li>Fine-tune and customize LLMs (GPT, LLaMA, Mistral, Grok, etc.) for domain-specific tasks.</li><li>Implement RAG (Retrieval-Augmented Generation), PEFT (LoRA/adapters), quantization, and prompt engineering.</li><li>Build and deploy generative systems for text, images, or speech.</li><li>Develop and maintain ML pipelines with MLflow, Kubeflow, TFX, or ZenML.</li><li>Use Docker, Kubernetes, and CI/CD pipelines to ensure scalable deployments.</li><li>Monitor and manage deployed models (performance, drift, retraining cycles).</li><li>Build robust data pipelines using Apache Airflow, Spark, or Dask.</li><li>Handle large, complex datasets with proper feature engineering and augmentation strategies.</li><li>Deploy and manage ML workloads on AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML, Hugging Face Spaces.</li><li>Ensure fairness, explainability (SHAP, LIME), and compliance with GDPR and AI regulations.</li><li>Mentor junior engineers and contribute to best practices in AI/ML development.</li><li>Collaborate with product managers, data engineers, and developers to deliver impactful AI solutions.</li><li>Stay updated with AI research (arXiv, NeurIPS, ICML) and apply learnings to production solutions.</li></ul>Required Qualifications &amp; Skills<ul><li>Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow, Scikit-learn).</li><li>Working familiarity with R, Julia, Scala, or Java is a plus.</li><li>Hands-on experience with Hugging Face, LangChain, LlamaIndex, MLflow, Kubeflow, Airflow.</li><li>Proficiency with at least one major cloud provider (AWS, GCP, Azure) for ML workloads.</li><li>Experience with CI/CD, Docker, Kubernetes, Git for scalable ML deployments.</li><li>Hands-on experience with LLMs, Diffusion Models, and RAG pipelines.</li><li>Strong data engineering skills with Spark/Dask, and managing large-scale datasets.</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>Proven ability to mentor junior engineers and lead AI/ML initiatives.</li></ul>Preferred Qualifications<ul><li>Experience applying AI in Manufacturing, Healthcare, Retail, or E-Commerce.</li><li>Experience with Edge AI and IoT platforms (e.g., NVIDIA Jetson, TPUs).</li><li>Contributions to open-source, patents, or publications in AI/ML.</li><li>Familiarity with AI agent frameworks (LangGraph, CrewAI, Auto-GPT).</li></ul>Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, Electrical Engineering, or related fields.</li><li>PhD or research experience is a plus, but not mandatory.</li><li>5&ndash;7+ years of experience in AI/ML roles, with proven impact in production systems or R&amp;D projects.</li></ul>What We Offer<ul><li>High-impact projects leveraging Generative AI, LLMs, and MLOps.</li><li>Continuous learning with training budgets, cloud credits, and conference sponsorships.</li><li>Competitive salary and benefits, performance-based bonuses.</li><li>Flexible hybrid/remote work options.</li><li>Collaborative, innovative environment with opportunities for growth.</li></ul>Equal Opportunity StatementWe value diversity and inclusion, and welcome applications from all backgrounds and experiences.Job Type: Full-timePay: Rs450,000.00 - Rs600,000.00 per monthWork Location: In person

Senior AI/ML Engineer

H2o Labs

Job DescriptionH2O Labs is seeking a highly skilled AI/ML &amp; Data Engineer to join our innovative team. The ideal candidate will have strong expertise in Python, AI/ML, data engineering, SQL, Azure cloud services, and Power BI, with experience deploying models into production.Roles &amp; Responsibilities<ul><li>General Introduction &amp; Experience</li><li>Introduce yourself and highlight relevant AI/ML and data engineering experience.</li><li>Python &amp; AI/ML (Core Requirement)</li><li>Proficient in Python and ML/AI libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.</li><li>Experience building NLP models using libraries/APIs such as OpenAI, Hugging Face.</li><li>Design, develop, and evaluate ML models; provide examples of recent projects, challenges, and outcomes.</li><li>Experience in fine-tuning and deploying LLMs.</li><li>SQL &amp; Data Engineering</li><li>Write complex SQL queries: DDL, DML, joins, CTEs, window functions.</li><li>Optimize SQL queries for performance improvements.</li><li>Build and maintain ETL pipelines using relevant tools/frameworks.</li><li>Azure Cloud (Mandatory Requirement)</li><li>Hands-on experience with Azure services: Azure Data Lake, Azure ML, Databricks, Functions, etc.</li><li>Deploy ML models on Azure ML; explain the deployment process.</li><li>Familiarity with Azure Data Lake storage formats like Parquet, Delta.</li><li>Power BI</li><li>Create dashboards to deliver actionable insights.</li><li>Comfortable writing DAX measures and creating interactive visuals.</li><li>Architecture &amp; System Thinking</li><li>Design system/data architecture diagrams using Visio, Draw.io, Lucidchart, or similar tools.</li><li>Build end-to-end AI/ML pipelines: from data ingestion to model deployment.</li><li>Production Deployment</li><li>Deploy models from Jupyter Notebook to production using CI/CD pipelines and monitoring tools.</li><li>Monitor and maintain model performance post-deployment.</li><li>Preferred / Bonus Skills</li><li>Experience with R programming language.</li><li>Familiarity with Dynamics 365 CRM.</li><li>Knowledge of AI agent services, Hugging Face, or LLM-based applications.</li><li>Experience in government or enterprise-level projects.</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs500,000.00 per monthWork Location: In person

Senior AI/ML Engineer (Azure)

MH Consultants

About us:Sumato Solutions is a full&#8209;stack digital&#8209;solutions provider offering custom software, web/mobile apps, AI/ML, cloud services, and more. They aim to deliver scalable and innovative digital solutions to clients globally. They emphasize a culture of teamwork, transparency, professionalism, and growth &mdash; giving employees room to learn and collaborate across various technologies.Key Responsibilities:&middot; Design, implement, and optimize machine learning / AI models to solve business and client problems.&middot; Work with cross&#8209;functional teams (backend, frontend, UI/UX, product managers) to integrate AI/ML capabilities into web/mobile applications.&middot; Preprocess and analyse data; build data pipelines if required; manage data inputs and outputs.&middot; Ensure scalability, reliability, and performance of AI/ML solutions in production environments.&middot; Stay updated on latest AI/ML research and practices and apply new algorithms/techniques as needed.&middot; Collaborate in code reviews, documentation, and maintenance of deployed models/systems.&middot; Collaborate work closely with data engineers, product managers, and developers to translate business needs into AI- driven solutions.Requirements:&middot; Minimum 1 or 1.5 years of hands-on experience in AI Engineer .&middot; Strong programming skills in Python; familiarity with Java, C++, or R is a bonus.&middot; Experience with AI/ML frameworks and libraries: TensorFlow, PyTorch, scikit-learn, Keras, OpenCV, etc.&middot; Ability to analyze large datasets and extract meaningful insights.&middot; Willingness to learn and adapt to emerging AI/ML technologies.&middot; Understanding of MLOps practices, version control (Git), and containerization (Docker/Kubernetes).Qualifications / Required Skills:&middot; Bachelor&rsquo;s (or higher) degree in Computer Science, Data Science, AI/ML, or relevant field.<ul><li>Proficiency in AI/ML frameworks and languages (e.g., Python, TensorFlow, PyTorch, scikit&#8209;learn, etc.).</li><li>Solid understanding of machine learning algorithms, data handling, model training, evaluation, and deployment.</li><li>Familiarity with web/mobile application development and APIs (so AI models can integrate into larger systems).</li><li>Strong problem&#8209;solving skills, analytical mindset, and ability to work in a team environment.</li><li>Good communication skills; ability to collaborate across teams (development, design, product).</li></ul>We Offer&middot; Competitive salary &amp; performance bonuses.&middot; Growth-oriented environment with mentorship&middot; Opportunity to work on high-impact projects&middot; Flexible working arrangements&middot; Continuous learning and upskilling opportunitiesHow to Apply&middot; Send your resume, portfolio/case studies, and relevant campaign results to: careers@sumatosolutions.comSubject Line: Performance Marketer &ndash; ApplicationJob Type: Full-timeWork Location: In person

AI Engineer

Gigalabs (Pvt) Ltd.

<div>We are seeking an AI Engineer with deep expertise in workflow automation tools (n8n, Make, Zapier) and strong foundations in AI/ML integration. Your core responsibility will be to design, build, and maintain AI-powered automated workflows that streamline internal operations, reduce manual effort, and ensure scalable system interactions across the organization.
The ideal candidate can link AI models, APIs, and business systems into end-to-end, self-operating workflows that improve decision-making and team efficiency.
Key Responsibilities<ul>
<li>Build and maintain automation workflows using n8n, Make, and Zapier.</li>
<li>Integrate AI/ML models and APIs (OpenAI, Claude, Hugging Face, custom models) into real-time automated systems.</li>
<li>Connect data sources, CRMs, dashboards, cloud storage, Slack, email, and internal tools into cohesive workflows.</li>
<li>Automate tasks such as data ingestion, preprocessing, enrichment, notifications, triggers, and business logic.</li>
<li>Develop custom API connectors when existing modules do not exist.</li>
<li>Deploy and manage lightweight AI scripts and orchestrate actions via automation platforms.</li>
<li>Implement workflow monitoring, error handling, logging, and version control.</li>
<li>Collaborate with data science and engineering teams to convert model insights into operational automations.</li>
<li>Continuously identify process inefficiencies and deploy scalable automation solutions.</li></ul>
Required Skills &amp; Qualifications<ul>
<li>Bachelors or Masters degree in Computer Science, Data Science, AI, or related field.</li>
<li>2-3+ years of hands-on experience in automation, AI integration, or workflow engineering.</li>
<li>Proven experience with n8n, Make (Integromat), or Zapier.</li>
<li>Strong proficiency in Python, including writing custom API integrations.</li>
<li>Solid understanding of REST APIs, OAuth2, webhooks, and JSON-based data structures.</li>
<li>Familiarity with deploying or integrating AI/ML models via APIs.</li>
<li>Experience with Google Cloud, AWS, or similar environments.</li>
<li>Strong debugging, analytical thinking, and workflow troubleshooting skills.</li><li>
Good understanding of data pipelines, version control (Git), and automation logic.</li></ul>
Nice-to-Have<ul>
<li>Experience building or integrating AI agents, chatbot workflows, or RAG-based systems.</li>
<li>Exposure to Docker, serverless environments, or self-hosted n8n setups.</li>
<li>Knowledge of SQL/NoSQL databases.</li>
<li>Understanding of event-driven systems and scalable automation design.</li>
<li>Experience in business process automation (BPA) or integration engineering.</li></ul></div>

AI Engineer Automation & Workflow Orchestration

Explore 559+ Ai ml engineer in Lahore Pakistan this December. Find roles across top companies and apply now to boost your career.

559 ai ml engineer jobs IN Lahore Pakistan

AI/ML Engineer

AI/ML Engineer

Junior AI/ML Engineer

Senior AI/ML Engineer

Senior AI/ML Engineer (Azure)

AI Engineer

AI Engineer Automation & Workflow Orchestration