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machine learning engineer

Code Graphers

Key Responsibilities:<ul><li>Advanced Model Development:</li><li>Design and implement complex models using machine learning and deep learning, particularly focusing on natural language processing (NLP), named entity recognition (NER), and large language models (LLMs) such as BERT.</li><li>Create complex AI agent using Langchain, llamaIndex, auto-gen</li><li>Create Retrival Augmented Generation (RAG) Applications</li><li>Multi-agent workflows and bots</li><li>Deep Learning and Neural Network Expertise</li><li>Apply a deep theoretical understanding of neural networks to develop sophisticated models that are both efficient and scalable.</li><li>Cross-Domain Integration</li><li>Incorporate knowledge of image processing to integrate multi-modal systems that leverage both text and visual data.</li><li>Research, Documentation, and Reporting</li><li>writing</li><li>Conduct ongoing research to stay ahead of new trends and techniques in machine learning, deep learning, and AI.</li><li>Creating custom APIs using frameworks such as FAST-API, Django, Flask</li><li>Have experince deploying ML models into production</li><li>Training LLMs with LoRA and QLoRA</li><li>experience with Quantization</li><li>Containerizing code via docker</li><li>Setting up MLOps pipelines with frameworks such as Data version control (DVC)</li><li>Creating Ci/CD pipelines</li><li>Image segmentation</li><li>Object detection</li><li>facial recognition</li></ul>Qualifications:<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>Experience:</li><li>4 - 6 years of experience in ML model development, including hands-on experience with NLP, NER, and LLMs.</li><li>Experience with neural network design and implementation.</li><li>Technical Skills:</li><li>Proficiency in Python, with good knowledge of ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Experience in developing and implementing models using BERT, RAG, LangChain, and other advanced ML techniques.</li><li>Familiarity with image processing techniques</li><li>Deep theoretical understanding of how models work, including underlying mathematical principles.</li><li>Document methodologies and innovations thoroughly; prepare detailed reports and presentations for technical and non-technical stakeholders.</li><li>Collaborate with cross-functional teams to ensure models are well-integrated into the company&rsquo;s product ecosystem.</li><li>Optimize neural network architectures and parameters for improved performance across various tasks.</li><li>Utilize techniques like Language Model Chaining and Retriever-Augmented Generation (RAG) to enhance text-based applications.</li></ul>Nice to have :<ul><li>experience with auto scaling</li><li>experience with GANs</li><li>experience with stable diffusion based models</li><li>experience with 3D neural networks</li><li>experience with Meta learning</li><li>worked on Raspberry PI or embedding systems and deployed ML model onto them before</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you comfortable with the onsite setting ?</li></ul>Experience:<ul><li>Machine Learning : 4 years (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Senior Machine Learning Engineer

TechnoCares

About the Role We are looking for a proactive and skilled Associate Software Engineer with at least 1 year of experience to join our team and contribute to innovative projects involving image and video processing, as well as machine learning. This role is ideal for individuals who have foundational experience in building practical solutions and are ready to expand their expertise in a collaborative environment.Key Responsibilities<ul><li>Design and implement modules for image and video processing</li><li>Contribute to developing and optimizing machine learning models</li><li>Write clean, efficient, and maintainable code</li><li>Troubleshoot, test, and debug applications</li><li>Collaborate with team members on feature development and integration</li><li>Contribute to performance tuning and system documentation</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field</li><li>1&ndash;2 years of industry experience in software development</li><li>Proficiency in Python</li><li>Experience with OpenCV, NumPy, and related libraries</li><li>Familiarity with machine learning frameworks such as TensorFlow or PyTorch</li><li>Understanding of basic computer vision techniques</li><li>Good problem-solving, debugging, and communication skills</li></ul>Nice to Have (Plus Points)<ul><li>Hands-on experience with YOLO or similar object detection frameworks</li><li>Experience working with real-time image/video processing systems</li><li>Familiarity with version control systems like Git</li></ul>What We Offer<ul><li>Opportunity to work on cutting-edge AI and computer vision projects</li><li>Collaborative and growth-oriented team culture</li><li>Flexible and supportive work environment</li><li>Room for career advancement and continuous learning</li></ul>Job Type: Full-timePay: Rs50,000.00 - Rs200,000.00 per monthWork Location: In person

Associate Software Engineer AI/ML (Computer vision / Machine Learning)

CyberGen Faisalabad

CyberGen is a leading IT and cybersecurity company, committed to innovation and growth. We&rsquo;re expanding our technology team and seeking a highly skilled and innovative AI Engineer to design, develop, and optimize advanced AI solutions&mdash;from building and training machine learning models to deploying scalable systems that drive automation, data intelligence, and real-world impact.About the RoleWe are seeking a highly skilled AI Engineer with hands-on expertise in both traditional machine learning and cutting-edge generative AI (LLMs, diffusion models, etc.), coupled with strong experience in MLOps, API development (FastAPI), and end-to-end deployment. As a key member of our AI team, you will design, develop, deploy, and optimize AI/ML solutions that power innovative products and services for real-world impact.Key Responsibilities<ul><li>AI/ML Model Development:</li></ul>Design, build, and train traditional ML models (classification, regression, clustering, etc.) and generative AI models (NLP, LLMs, image generation, etc.) using frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace, etc.<ul><li>API &amp; Microservices:</li></ul>Build scalable and robust RESTful APIs for AI services using FastAPI (preferred) or similar frameworks. Integrate models with applications and expose inference endpoints.<ul><li>Deployment &amp; Scaling:</li></ul>Containerize applications (Docker), orchestrate with Kubernetes or similar tools, and deploy models in production environments (cloud/on-prem). Monitor, optimize, and troubleshoot AI systems post-deployment.<ul><li>Continuous Integration &amp; Delivery (CI/CD):</li></ul>Implement CI/CD workflows for automated testing, model retraining, and seamless delivery of AI features.<ul><li>Collaboration:</li></ul>Work closely with data scientists, product managers, and software engineers to translate business requirements into scalable AI solutions.<ul><li>Documentation &amp; Best Practices:</li></ul>Document design decisions, code, and model performance. Champion best practices for code quality, reproducibility, and responsible AI.Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or a related field.</li><li>Proven experience developing and deploying both traditional ML and generative AI models.</li><li>Minimum 2 years of professional experience in AI/ML engineering or a closely related role.</li><li>Strong proficiency in Python and relevant ML/DL libraries (scikit-learn, PyTorch, TensorFlow, HuggingFace, etc.).</li><li>Hands-on experience building REST APIs with FastAPI (or Flask/FastAPI alternatives).</li><li>Experience with containerization (Docker) and orchestration (Kubernetes).</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML workloads.</li><li>Knowledge of CI/CD tools and practices.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Preferred (Bonus) Skills<ul><li>Experience with generative AI (LLMs, diffusion models, prompt engineering, RAG, etc.)</li><li>Exposure to data versioning, model monitoring, and retraining workflows.</li><li>Knowledge of security, privacy, and responsible AI guidelines.</li><li>Open-source contributions or published AI/ML projects.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML engineering: 2 years (Preferred)</li></ul>Work Location: In person

AI Engineer

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Lahore 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

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Sr. AWS AI Engineer

Maeme's Limited

We're Hiring: AI DeveloperLocation: Islamabad, Lahore Employment Type: Full-TimeAre you passionate about building the next generation of intelligent systems using cutting-edge AI technologies? We&rsquo;re looking for an AI Developer with hands-on experience in Large Language Models (LLMs), token-based systems, machine learning, and Python programming to join our innovative team.As an AI Developer, you will be instrumental in designing, developing, and deploying AI-driven applications and tools. You&rsquo;ll work on real-world challenges involving natural language processing, generative AI, and advanced model integration using state-of-the-art LLMs.Key Responsibilities<ul><li>Design and implement AI applications leveraging LLMs (e.g., GPT, LLaMA, Mistral).</li><li>Develop token-based logic and infrastructure for prompt engineering, context management, and model optimization.</li><li>Build, train, and fine-tune machine learning models for NLP, classification, or recommendation systems.</li><li>Write efficient and maintainable Python code to support AI pipelines and applications.</li><li>Collaborate with cross-functional teams including data scientists, ML engineers, and product managers to deliver high-impact AI solutions.</li><li>Monitor and optimize model performance in production environments.</li><li>Stay updated on the latest advancements in LLMs, tokenization, and AI development best practices.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.</li><li>Strong proficiency in Python and machine learning libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, Scikit-learn).</li><li>Experience working with LLMs (e.g., OpenAI GPT models, LLaMA, Claude, or similar).</li><li>Solid understanding of tokenization, embeddings, and model prompt design.</li><li>Hands-on experience in training, fine-tuning, or deploying ML/NLP models.</li><li>Strong problem-solving skills and ability to work both independently and collaboratively.</li></ul>Apply now: Send your Resume at&middot; E.mail: hhtechsolution01@gmail.com&middot; WhatsApp: +923174967217&middot; Inbox: www.linkedin.com/in/h-h-tech-solution-09722b321Job Type: Full-timeWork Location: In person

AI Developer

Analytiverse

Role DescriptionWe are looking for a motivated and technically skilled professional to join our team as an AI/ML Engineer (LLM Trainee &ndash; LangChain/LangGraph). The ideal candidate will have strong expertise in Python development and a keen interest in working with AI frameworks and tools. This role provides an opportunity to work on cutting-edge projects involving LangChain and LangGraph, building innovative solutions in the AI/ML space.Key Responsibilities<ul><li>Build and optimize AI-driven applications leveraging LangChain and LangGraph.</li><li>Write clean, efficient, and maintainable Python code for automation, data processing, and integration tasks.</li><li>Assist in designing, coding, and maintaining backend components using Python.</li><li>Develop APIs and integrate third-party services under the guidance of senior engineers.</li><li>Troubleshoot and resolve technical challenges to ensure system reliability and performance.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, or a related field.</li><li>0&ndash;1 year of hands-on or project-based Python development experience with exposure to Data Science and Machine Learning.</li><li>Strong proficiency in Python and data analysis libraries (Pandas, NumPy).</li><li>Solid understanding of algorithms, data structures, and statistical analysis.</li><li>Familiarity with neural networks and computer vision concepts.</li><li>Basic knowledge of LangChain and LangGraph frameworks (preferred, but not mandatory).</li><li>Strong problem-solving skills, ability to work collaboratively in a fast-paced environment, and a passion for innovation.</li></ul>Job Type: Full-timePay: From Rs70,000.00 per monthLocation:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AIML Engineer LLM Trainee LangChain LangGraph

Brickslogix

We are seeking a highly motivated AI/ML Engineers to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, artificial intelligence, data processing, and algorithm development. This role will involve building intelligent systems, analyzing datasets, and implementing cutting-edge AI solutions to support our software and product development initiatives.Key Responsibilities<ul><li>Design, develop, and deploy machine learning models and AI solutions.</li><li>Preprocess, clean, and analyze large datasets to extract insights.</li><li>Build and optimize predictive models, recommendation systems, chatbots, and other AI-driven features.</li><li>Conduct research on emerging AI/ML technologies and frameworks to enhance solutions.</li><li>Collaborate with software engineers to integrate AI/ML solutions into applications.</li><li>Fine-tune existing models for accuracy, scalability, and performance.</li><li>Work with cloud-based ML platforms (AWS, Azure, GCP) for model deployment.</li><li>Document processes, models, and findings for internal and client use.</li><li>Assist in designing proof-of-concepts (POCs) for AI-driven business solutions.</li></ul>Required Skills &amp; Qualifications<ul><li>1-3 years of experience in AI/ML experience.</li><li>Strong understanding of machine learning algorithms, deep learning, and data science principles.</li><li>Proficiency in Python, R, or other ML programming languages.</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau).</li><li>Knowledge of NLP, computer vision, or reinforcement learning is a plus.</li><li>Experience with cloud AI/ML services (AWS SageMaker, Azure ML, Google AI).</li><li>Strong analytical, problem-solving, and mathematical skills.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li></ul>Job Type: Full-timeWork Location: In person

Explore 471+ Machine learning engineer in Lahore this September. Find roles across top companies and apply now to boost your career.

471 machine learning engineer jobs IN Lahore

Senior Machine Learning Engineer

Associate Software Engineer AI/ML (Computer vision / Machine Learning)

AI Engineer

Sr. AWS AI Engineer

AI Developer

AIML Engineer LLM Trainee LangChain LangGraph

AI Engineer