automation engineer

ai/ml engineer

engineering manager

machine learning engineer

ai engineer

ai ml engineer

VLINQ DIGITAL (PRIVATE) LIMITED

We are looking for a skilled and innovative AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will work on data-driven projects, collaborate with cross-functional teams, and help integrate AI technologies into existing systems and products.Key Responsibilities:<ul><li>Design, build, and deploy machine learning models for real-world applications.</li><li>Perform data preprocessing, cleaning, and feature engineering.</li><li>Evaluate and fine-tune model performance using ML metrics and validation techniques.</li><li>Collaborate with data scientists, software engineers, and product teams.</li><li>Implement AI models into production using APIs and automation pipelines.</li><li>Research and experiment with new algorithms and frameworks.</li><li>Document processes, model architectures, and deployment strategies.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or a related field.</li><li>2&ndash;4 years of hands-on experience in machine learning and AI development.</li><li>Strong programming skills in Python and familiarity with TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Experience with data manipulation libraries (NumPy, Pandas) and visualization tools (Matplotlib, Seaborn).</li><li>Understanding of ML algorithms, deep learning, NLP, or computer vision.</li><li>Experience deploying models using AWS, Azure, or Google Cloud AI services.</li></ul>Job Type: Full-timeWork Location: In person

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

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

HR POD Careers

<div>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelors degree in Computer Science, Artificial Intelligence, or Data Science.
 </li>
 <li>
 4-8 years of professional experience in AI/ML model development and deployment.
 </li>
 <li>
 Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, Pandas, and NumPy.
 </li>
 <li>
 Hands-on experience in API development and model deployment using Flask or FastAPI, and Docker for containerization.
 </li>
 <li>
 Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Strong analytical and problem-solving skills with a research-driven mindset.
 </li>
 <li>
 Excellent communication skills with the ability to clearly explain complex model logic to both technical and non-technical audiences.
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement machine learning pipelines, including data collection, cleaning, and preprocessing.
 </li>
 <li>
 Develop, train, and fine-tune ML/DL models for various business use cases.
 </li>
 <li>
 Deploy models as APIs or microservices for production environments.
 </li>
 <li>
 Monitor and maintain model performance, ensuring reliability and scalability.
 </li>
 <li>
 Conduct model retraining and optimization based on inference results and new data.
 </li>
 <li>
 Document all experiments, architectures, and performance metrics for reproducibility.
 </li>
 <li>
 Collaborate with data engineers, software developers, and domain experts to deliver end-to-end AI solutions.
 </li>
 <li>
 Stay up to date with emerging trends and frameworks in AI and machine learning.
 
 </li>
 </ul>
</div>

AI/ML Engineer (Onsite, Lahore, PKR Salary)

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)

Sprouto Group

About Sprouto:Sprouto is a forward-thinking AI-driven software development company delivering innovative AI solutions, mobile applications, digital transformation, and bespoke business systems. Join us to work on cutting-edge AI projects and develop custom Large Language Models (LLMs) that drive business impact.The Role:We are looking for a skilled Machine Learning &amp; AI Engineer with 2+ years of experience to design, develop, and deploy AI/ML solutions, including custom LLMs, leveraging Google Cloud&rsquo;s Vertex AI. You will work closely with cross-functional teams to build scalable, robust, and high-performing AI systems.Key Responsibilities:<ul><li>Design, implement, and deploy machine learning models and AI algorithms, including custom LLMs.</li><li>Build and maintain ML pipelines on Google Cloud Vertex AI for LLM development and traditional ML models.</li><li>Prepare data, fine-tune, evaluate, and deploy LLMs effectively.</li><li>Collaborate with data scientists, engineers, and product managers to translate business requirements into AI solutions.</li><li>Monitor model performance and implement improvements.</li><li>Stay updated on the latest AI, ML, and LLM developments.</li><li>Document technical designs and processes.</li></ul>Required Skills &amp; Experience:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li><li>Minimum 2 years of experience in ML/AI engineering, with exposure to NLP or LLMs.</li><li>Proficiency in Python and ML frameworks (TensorFlow/PyTorch).</li><li>Practical experience with Google Cloud Platform, especially Vertex AI.</li><li>Knowledge of ML algorithms and NLP libraries (Transformers, spaCy, NLTK).</li><li>Experience in deploying and monitoring ML models.</li><li>Strong problem-solving and communication skills.</li></ul>Preferred Skills:<ul><li>Direct experience developing or fine-tuning LLMs.</li><li>Knowledge of LLM architectures (e.g., Transformer, BERT, GPT).</li><li>Experience with MLOps, CI/CD, Docker/Kubernetes, and big data tools.</li><li>Advanced degree (Master&rsquo;s/PhD) in AI/NLP or relevant certifications (e.g., Google Cloud Professional ML Engineer).</li></ul>Job Type: Full-timeWork Location: In person

Machine Learning & AI Engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader">Lead GenAI Engineer (Application Development)</h3>
Experience: 7&ndash;12+ years 
Location: Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan) 
Employment Type: Full-time<h4 class="jobSectionHeader">
About the Role</h4>
NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.<h4 class="jobSectionHeader">
Core Responsibilities</h4><ul><li>
Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of 8&ndash;12 engineers across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive technical decision-making across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader">
Technical Requirements</h4>
GenAI Leadership (3+ Years) &ndash; Primary<ul><li>
Proven experience in developing and deploying GenAI applications in production.</li><li>
Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.</li><li>
Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.</li><li>
Strong prompt engineering and Chain-of-Thought optimization capabilities.</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.</li><li>
Expertise in the AI/ML model lifecycle &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.</li></ul>
Application Development &amp; Architecture (7+ Years)<ul><li>
Strong background in full-stack development (MERN or equivalent stack).</li><li>
Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in API development (REST, GraphQL) and microservices architecture.</li><li>
Experience deploying solutions across on-premises, cloud, and hybrid environments.</li><li>
Kubernetes for container orchestration and deployment management.</li><li>
Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.</li></ul>
Cloud &amp; Infrastructure<ul><li>
Hands-on experience with AWS/Azure/GCP cloud environments and ML services.</li><li>
Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.</li><li>
Understanding of hybrid architecture design integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader">
Proven Delivery</h4><ul><li>
Successful delivery of 7+ enterprise or AI/ML-driven applications.</li><li>
Demonstrated leadership experience managing cross-functional technical teams.</li><li>
Ability to deliver high-quality, scalable, and secure solutions under tight timelines.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Cloud certifications (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent communication and leadership skills, capable of bridging business and technology.</li><li>
Experience working in Agile/Scrum environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader">
Ideal Candidate</h4>
A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.
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Lead GenAI Engineer (Application Development)

Explore 464+ Ai ml engineer in Lahore this November. Find roles across top companies and apply now to boost your career.

464 ai ml engineer jobs IN Lahore

AI/ML Engineer

AI/ML Engineer

Sr. AI/ML Engineer

AI/ML Engineer (Onsite, Lahore, PKR Salary)

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

Machine Learning & AI Engineer

Lead GenAI Engineer (Application Development)