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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

Innovadel Technologies

Job Description: We are seeking a motivated Machine Learning Engineer to join our AI team. The ideal candidate will have hands-on experience in Python, machine learning models, and modern AI technologies such as RAG (Retrieval-Augmented Generation), LLMs, knowledge graphs, and chatbots.Key Responsibilities:<ul><li>Design, develop, and deploy ML models and AI-driven applications.</li><li>Work with LLMs, RAG frameworks, and knowledge graphs to build intelligent solutions.</li><li>Develop and integrate chatbots and AI agents for business use cases.</li><li>Collaborate with cross-functional teams to deliver scalable AI systems.</li><li>Monitor and improve model performance and efficiency.</li></ul>Requirements:<ul><li>1&ndash;2 years of experience in a Machine Learning or related role.</li><li>Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, etc.).</li><li>Practical understanding of LLMs, RAG, and AI integration.</li><li>Familiarity with model deployment and production workflows.</li><li>Strong analytical and problem-solving skills.</li></ul>Preferred:<ul><li>Experience with cloud platforms (AWS, GCP, or Azure).</li><li>Knowledge of NLP, semantic search, or recommendation systems</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs110,000.00 per monthWork Location: In person

Soliton Technologies

<div>
 
 Job Description
 
 
 
 We are looking for a skilled Software Engineer (Machine Learning) with 2 years of experience to join our innovative team on-site. The ideal candidate will bring a solid foundation in machine learning, data processing, and model development. In this role, you will be responsible for designing, implementing, and optimizing advanced machine learning pipelines, leveraging cutting-edge tools and technologies to tackle complex, real-world challenges.
 
 
 
 Responsibilities And Skillset
 
 
 
 <ul>
 <li>
 Develop and implement end-to-end pipelines for data processing, model building, training, and optimization.
 </li>
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 Deploy ML services &amp; LLM-based services on cloud platforms, ensuring scalability &amp; efficiency.
 </li>
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 Work with machine learning frameworks such as PyTorch, TensorFlow, Keras, Pandas, ScikitLearn, Numpy, Langchain, and Hugging-Face.
 </li>
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 Apply strong programming skills in Python to build and optimize machine learning models.
 </li>
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 Collaborate with cross-functional teams to integrate ML solutions into products.
 </li>
 <li>
 Troubleshoot and resolve complex issues related to machine learning models and processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
 </li>
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 Around 2 years of experience in ML engineering or related roles.
 </li>
 <li>
 Proven experience in building and deploying machine learning models and implementing end-to-end pipelines.
 </li>
 <li>
 Proficiency in Python (MUST) with a focus on problem-solving.
 
 
 </li>
 </ul>
 
 Good To Have
 
 
 
 <ul>
 <li>
 Familiarity with cloud platforms and expertise in deploying ML services &amp; LLM-based services.
 </li>
 <li>
 Experience with version control systems such as Git.
 </li>
 <li>
 Knowledge of backend frameworks like Flask or Django for API development.
 </li>
 <li>
 Familiar with LLMs, Deep Learning Techniques &amp; ML algorithms.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Tax-free, remittance-based salary structure and other perks &amp; benefits.
 </li>
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 Opportunity to work on cutting-edge HealthTech solutions impacting global healthcare.
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 Collaborative and innovative work environment.
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 Continuous learning and professional development opportunities.
 </li>
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 Exposure to international teams and large-scale data platforms.
 
 
 </li>
 </ul>
 
 Join us and contribute to the future of AI by building state-of-the-art machine learning solutions!
 
 
 
 
 About Us:
 
 Persivia and Soliton Technologies are AI-powered HealthTech platform that enables providers, payers, and large health care International organizations to deliver personalized, value-based care. By integrating clinical and claims data, we deliver real-time insights that drive improved patient outcomes, clinical performance, and operational efficiency.
 
 
 Role Code:
 
 #ST25Q4ME
 
</div>

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

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

Devsinc

<div>
 Devsinc is seeking a highly skilled Senior AI/ML Engineer with a strong background in Python, machine learning, and deep learning frameworks. The ideal candidate will thrive in cloud environments (AWS, Azure, GCP, Databricks), excel at designing innovative AI solutions, and demonstrate technical leadership, effective communication, and ownership of the end-to-end machine learning lifecycle.
 
 
 
 Requirements
 
 
 
 
 Experience
 
 :
 
 5+ years in AI/ML engineering
 
 with proven experience building and deploying production-grade solutions.
 
 
 
 Education:
 
 Bachelor's in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. A Master's degree in CS, AI/ML or related discipline is a plus but not mandatory.
 
 
 
 Programming
 
 : Active coder, proficient in Python 3.x, strong OOP skills, and familiarity with modern Python features.
 
 
 
 Core AI/ML Knowledge
 
 : Deep expertise in Machine Learning, Deep Learning, NLP, Computer Vision, LLMs, Generative AI, and Agentic AI.
 
 
 
 Preferred
 
 : Experience with LangChain, RAG (Retrieval-Augmented Generation), knowledge graphs, multi-agent AI systems, and visualization tools like Tableau or Power BI.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable, secure AI and ML applications using Python, ML frameworks (TensorFlow, PyTorch), and cloud services.
 </li>
 <li>
 Architect, implement, and optimize machine learning models and algorithms to power AI-driven features, enhancing user interaction and business value.
 </li>
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 Integrate third-party AI/ML APIs and services into existing web and enterprise applications.
 </li>
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 Champion a data-driven culture, ensuring consistent delivery of high-impact AI enhancements.
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 Lead LLM use cases (open-source, fine-tuned, customized) across NLP tasks such as summarization, writing assistance, knowledge extraction, and conversational AI.
 </li>
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 Drive innovation in Generative AI and Agentic AI systems to enable autonomous task execution, reasoning, and decision-making.
 </li>
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 Lead and participate in NLP and Computer Vision initiatives, mentoring team members and fostering collaboration.
 </li>
 <li>
 Own the complete ML lifecycle: data preprocessing, model design, training, evaluation, deployment, monitoring, and retraining pipelines.
 </li>
 <li>
 Provide clear technical communication, documentation, and cross-team collaboration.
 </li>
 <li>
 Actively troubleshoot, debug, and optimize models and systems for production-grade reliability and performance
 
 
 </li>
 </ul>
 
 Core Expertise
 
 :
 
 
 <ul>
 <li>
 NLP &amp; CV with hands-on experience in Transformer-based models.
 </li>
 <li>
 Strong knowledge of libraries: numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face Transformers, etc.
 </li>
 <li>
 Proven ability to fine-tune and deploy LLMs for real-world applications.
 </li>
 <li>
 Expertise in Generative AI and emerging Agentic AI frameworks
 
 
 </li>
 </ul>
 
 Cloud &amp; Infrastructure
 
 :
 
 
 <ul>
 <li>
 Skilled with AWS, Azure, GCP, and Databricks (Lambda/Serverless, S3, SQS, SNS, EC2)
 </li>
 <li>
 Proficiency in Docker, container orchestration, and microservices
 </li>
 <li>
 Experience with distributed systems and messaging platforms
 
 
 </li>
 </ul>
 
 Software Engineering
 
 :
 
 
 <ul>
 <li>
 Familiarity with design principles: SOLID, Dependency Injection, Service Containers
 </li>
 <li>
 Experience in Django/Flask web frameworks.
 </li>
 <li>
 Strong version control, code review, and repo management with Git.
 
 
 </li>
 </ul>
 
 Testing &amp; Monitoring
 
 :
 
 
 <ul>
 <li>
 Skilled in ML testing methodologies (unit, integration, performance, load testing).
 </li>
 <li>
 Knowledge of data visualization, monitoring, and alerting tools.
 
 
 </li>
 </ul>
 
 Databases
 
 :
 
 
 <ul>
 <li>
 Strong SQL and ORM knowledge (SQLAlchemy, PostgreSQL, MySQL).
 
 
 </li>
 </ul>
 
 Soft Skills
 
 :
 
 
 <ul>
 <li>
 Excellent communication and presentation skills to engage with technical and non-technical stakeholders.
 </li>
 <li>
 Strong problem-solving mindset with the ability to break down complex challenges into practical AI solutions.
 </li>
 <li>
 Leadership qualities with the ability to mentor junior engineers and collaborate effectively in cross-functional teams
 
 
 </li>
 </ul>
 
 Why Join Devsinc?
 
 
 
 At Devsinc, you'll be part of a forward-thinking team pushing the boundaries of AI/ML innovation. If you're passionate about
 
 cutting-edge AI systems, Generative AI, and real-world applications of agentic AI
 
 , and have the expertise to deliver end-to-end ML solutions, we encourage you to apply.
</div>

Senior AI/Machine Learning Engineer

CAN AT TOTAL

We are seeking a highly skilled AI/ML and Python Engineer with expertise in Python, along with experience in deep learning, computer vision, and data analysis. The ideal candidate should be proficient in frameworks like PyTorch, Keras, OpenCV, and Django, with strong problem-solving abilities and a passion for AI-driven innovation.Key Responsibilities:<ul><li>Develop and optimize machine learning models using PyTorch and Keras</li><li>Work on computer vision and image processing projects with OpenCV</li><li>Design and implement data pipelines and preprocessing techniques</li><li>Perform exploratory data analysis (EDA) and statistical modeling</li><li>Build and deploy AI-powered applications using Django and React JS</li><li>Collaborate with teams to develop AI-driven solutions for real-world problems</li><li>Utilize Pandas, and NumPy for data manipulation and insights</li><li>Deploy models efficiently using Git, GitHub, and cloud services</li></ul>Job Type: Full-timeWork Location: In person

AI Machie Learning / Python Developer

Explore 609+ Learning engineer in Lahore this November. Find roles across top companies and apply now to boost your career.

609 learning engineer jobs IN Lahore

Machine Learning Engineer

Machine Learning Engineer

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Senior Machine Learning Engineer

Senior AI/Machine Learning Engineer

AI Machie Learning / Python Developer