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Appsians

Appsians IT Solution is looking for a passionate and proactive AI/ML Engineer with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to AI/ML-based projects. You will assist in building intelligent systems, integrating AI tools, and optimizing existing models.Key Responsibilities:<ul><li>Assist in the development, training, testing, and deployment of machine learning and AI models.</li><li>Apply N8N AI Tool in real-world use cases (e.g., NLP, computer vision, predictive analytics, automation).</li><li>Collaborate with senior engineers and data scientists on AI-based solutions.</li><li>Clean, preprocess, and analyze large datasets for modeling purposes.</li><li>Participate in model validation, performance tuning, and error analysis.</li><li>Write clean, maintainable, and well-documented code.</li><li>Work on AI product features, proof of concepts, and demos using N8N AI Tool.</li><li>Stay updated with the latest trends in AI/ML and suggest ways to implement them.</li><li>Support in integrating AI solutions into web/mobile/cloud-based environments.</li><li>Contribute to AI model monitoring, retraining, and feedback loops.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Science, AI, or related field.</li><li>1.5 year to 3 years of relevant experience in AI/ML projects.</li><li>Hands-on experience with N8N AI Tool (e.g., model building, automation, workflows).</li><li>Proficiency in Python (preferred), with familiarity in libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Proficiency in React programming language.</li><li>Understanding of supervised/unsupervised learning, classification, regression, etc.</li><li>Familiarity with REST APIs, Git, and version control.</li><li>Good problem-solving and analytical thinking skills.</li><li>Ability to work in a collaborative team environment.</li><li>Strong communication and documentation skills.</li><li>Exposure to cloud platforms (AWS, GCP, Azure) for deploying AI models.</li><li>Experience with LLMs, prompt engineering, or GenAI tools.</li><li>Knowledge of data pipelines or MLOps concepts.</li><li>Experience in integrating AI with web or mobile applications.</li><li>Excellent English communication is essential.</li></ul>Send your resume to hr@appsians.com with the subject line: &ldquo;AI/ML Developer Application Location: Lahore DHA Phase 4 Job type: Full Time / onsiteJob Type: Full-timePay: Rs70,000.00 - Rs80,000.00 per monthWork Location: In person

AI/ML Engineer

HUMAN FORCE GROUP

We&rsquo;re looking for a Senior AI/ML Engineer to join our growing AI services company as a foundational technical leader. You&rsquo;ll design and build production-grade AI/ML solutions across computer vision, NLP, and generative AI, while mentoring and leading a team as we scale.What You&rsquo;ll Do :&#9679; Architect and develop end-to-end AI/ML solutions from data processing to deployment, across diverse domains (vision, NLP, GenAI, predictive systems).&#9679; Design scalable pipelines, implement best practices, and set engineering standards.&#9679; Guide algorithm/model selection, review code, debug complex issues, and make key technical decisions.&#9679; Mentor and upskill junior engineers, fostering a strong learning and innovation culture.&#9679; Collaborate with clients and cross-functional teams to define solutions that are robust, accurate, and scalable.&#9679; Stay ahead of industry trends and emerging technologies to keep our solutions cutting-edge.What You Bring: &#9679; 5+ years of hands-on experience building and deploying ML models in production. &#9679; Strong expertise in:&#9675; Computer Vision &ndash; CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, detection/segmentation models.&#9675; NLP &ndash; Transformers (BERT, T5, GPT), tokenization, embeddings, HuggingFace, spaCy/NLTK.&#9675; Generative AI &ndash; LLM orchestration (LangChain), RAG, chatbots, prompt engineering, vector DBs (FAISS/Pinecone).&#9679; Solid ML foundations (classical algorithms, feature engineering, evaluation) with Python, Scikit-learn, XGBoost/LightGBM.&#9679; Deployment experience on AWS/Azure/GCP, FastAPI/Flask, Docker/Kubernetes, CI/CD, and MLOps best practices.&#9679; Excellent communication, problem-solving, and mentorship abilities with a track record of guiding teams technically.Nice to Have&#9679; Startup or consulting experience handling multiple AI projects simultaneously&#9679; Experience with real-time inference, model optimization (quantization/pruning), or edge deployment&#9679; Contributions to open-source or published work in AI/MLJob Type: Full-timeWork Location: In person

Senior AI / ML Engineer

Force Cloud LLC

Cube Discipline

Key Responsibilities<ul><li>Lead the design, development, and deployment of AI/ML models and systems.</li><li>Collaborate with data scientists, engineers, and business stakeholders to identify opportunities for AI-driven solutions.</li><li>Architect scalable ML pipelines for training, testing, and deploying models.</li><li>Ensure model accuracy, reliability, and performance in production environments.</li><li>Stay updated with advancements in AI/ML frameworks, tools, and research.</li><li>Mentor and guide junior engineers, promoting best practices in ML engineering.</li><li>Work with cloud platforms (AWS, GCP, Azure) for scalable AI deployments.</li><li>Oversee model monitoring, retraining, and lifecycle management.</li></ul>Requirements<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field (PhD preferred).</li><li>6&ndash;10+ years of proven experience in AI/ML roles.</li><li>Strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, and related frameworks.</li><li>Hands-on experience with NLP, Computer Vision, or Generative AI models.</li><li>Solid understanding of data engineering, feature engineering, and big data tools (Spark, Hadoop, etc.).</li><li>Experience in MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).</li><li>Strong problem-solving, analytical, and leadership skills.</li></ul>Preferred Skills<ul><li>Experience with LLMs (Large Language Models) and transformer-based architectures.</li><li>Knowledge of reinforcement learning or advanced optimization techniques.</li><li>Publications or contributions to AI/ML research communities.</li><li>AI/ML certifications from leading platforms (Google, AWS, etc.).</li></ul>Job Type: Full-timeWork Location: In person

Lead AI/ML Engineer

Tek Headquarters

About Us:TEKHQS is a global technology solutions provider headquartered in Lake Forest, California, with an offshore team of 300+ experts based in Pakistan. We specialize in Web 2.0 (Web &amp; Mobile App Development), Web 3.0 (Blockchain &amp; Crypto Platform Development), AI/ML Solutions, and ERP services as a certified partner of SAP S/4HANA, Oracle NetSuite, and Microsoft Dynamics 365 Business Central. Our expertise includes implementation, training, customization, integration, support, IT staff augmentation, and certified ERP consultancy.About the RoleWere looking for a passionate Mid-Level AI/ML Software Engineer with &#65279;2-3 years experience to join TEKHQS in Lahore. Youll work on exciting AI and machine learning projects, helping build and deploy innovative solutions in deep learning and generative AI. This role is perfect for someone eager to dive into real-world AI challenges, learn cutting-edge techniques, and contribute to our global tech solutions. Expect to work with raw data, experiment with models, and collaborate with a talented team to bring ideas to life.Key Responsibilities<ul><li>&#65279;Build and train AI models, including transformer-based models (e.g., BERT, GPT, or similar), using GPU-based environments.</li><li>Support the development of GenAI systems, including tasks like data preprocessing, model training, and fine-tuning.</li><li>Experiment with model optimization techniques, such as quantization or efficient attention mechanisms.</li><li>Help implement state-of-the-art AI methods from research papers or open-source frameworks.</li><li>Manage parts of the model lifecycle: data preparation, training, evaluation, and deployment.</li><li>Work with multi-modal data (e.g., text, images) to support cross-domain AI applications.</li><li>Collaborate with senior engineers to optimize models for performance, including low-latency inference and memory efficiency.</li><li>Write clean, modular Python code and contribute to CI/CD pipelines for model deployment.</li></ul>Requirements:Core AI/ML Skills:<ul><li>Familiarity with deep learning concepts like transformers, self-attention, or normalization techniques (e.g., LayerNorm).</li><li>Basic understanding of token sampling (e.g., Top-k, Top-p) or training strategies like curriculum learning.</li><li>Experience with supervised or unsupervised learning (e.g., classification, regression, or masked modeling).</li></ul>Training Infrastructure:<ul><li>Hands-on experience with Python-based ML frameworks like PyTorch, TensorFlow, or HuggingFace.</li><li>Exposure to distributed training or mixed precision (e.g., fp16) is a plus.</li><li>Familiarity with data formats like CSV, JSON, or Parquet for model training.</li></ul>Model Optimization &amp; Serving:<ul><li>Basic knowledge of model optimization techniques (e.g., quantization or pruning).</li><li>Exposure to model serving tools (e.g., HuggingFace Inference, ONNX, or similar) is a plus.</li></ul>GenAI Systems:<ul><li>Interest in generative AI, including LLMs or Retrieval-Augmented Generation (RAG).</li><li>Familiarity with tokenizers (e.g., Byte Pair Encoding or SentencePiece) is a bonus.</li></ul>Software Engineering:<ul><li>Ability to write clean, testable Python code.</li><li>Basic experience with version control (e.g., Git) and CI/CD pipelines.</li><li>Familiarity with Docker or profiling tools (e.g., PyTorch Profiler) is a plus.</li></ul>Mathematical Foundations:<ul><li>Understanding of core concepts like gradient descent, loss functions (e.g., cross-entropy), or basic linear algebra.</li><li>Comfortable with probability and statistics for data analysis or model evaluation.</li></ul>Job Details:Experience: Minimum 3 years of AI/ML or software development experience, including 1+ year in deep learning or GenAI projects.Job Type: HybridJob Type: Full-timeWork Location: In person

Inventor Design Studio

AI Engineer Job DescriptionCompany: Inventor Design Studio Location: On-siteAbout UsInventor Design Studio is a leading innovation-driven company specializing in modern technology solutions. We are committed to pushing the boundaries of artificial intelligence and delivering cutting-edge products that solve real-world challenges.Role OverviewWe are seeking an experienced AI Engineer with a minimum of 3 years in the field to join our on-site team. The ideal candidate will design, develop, and deploy advanced AI and machine learning models to drive product innovation and business growth. This role requires hands-on expertise in AI frameworks, software engineering best practices, and seamless collaboration with cross-functional teams.Key Responsibilities<ul><li>Design, build, and optimize AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Develop scalable AI pipelines for data preprocessing, model training, validation, and deployment.</li><li>Collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into products.</li><li>Deploy AI models into production environments ensuring reliability, scalability, and performance.</li><li>Monitor, maintain, and improve deployed AI systems including detecting model drift and retraining as required.</li><li>Implement data collection, cleaning, and feature engineering to ensure quality datasets for training AI models.</li><li>Stay updated with the latest AI/ML research and technologies, recommending relevant innovations for adoption.</li><li>Document AI development processes, models, and best practices to maintain knowledge sharing.</li></ul>Required Skills and Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>Minimum 3 years of professional experience in AI/ML engineering roles.</li><li>Proficiency in Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras.</li><li>Strong understanding of machine learning algorithms, neural networks, and deep learning principles.</li><li>Experience with data preprocessing, feature engineering, and working with large datasets.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) for AI deployment.</li><li>Hands-on experience with CI/CD and MLOps practices for model deployment and lifecycle management.</li><li>Strong problem-solving skills with the ability to translate business challenges into AI solutions.</li><li>Excellent communication skills for cross-functional collaboration and technical documentation.</li></ul>Preferred<ul><li>Experience in natural language processing, computer vision, or specialized AI domains.</li><li>Knowledge of ethical AI practices and data privacy regulations.</li></ul>Work Environment<ul><li>Full-time, on-site position at Inventor Design Studio headquarters.</li><li>Collaborative, innovative, and fast-paced work culture focused on AI excellence.</li></ul>Job Type: Full-timePay: Rs40,000.00 - Rs60,000.00 per monthExperience:<ul><li>AI Engineer: 3 years (Preferred)</li></ul>Work Location: In person

AI Engineer With 3 Years Of Experience

Architecture In Motion

<div>Job Summary: 


We are seeking an Azure Machine Learning MLOps Engineer to work in AI/ML team. 
As an ML Engineer, you'll be responsible for design, development and implementation of all cycles of MLOps including test, staging, monitoring and deployment of predictive models on cloud-based platform specifically Azure cloud. ML Engineer needs to ensure that our machine learning systems are reliable, scalable, and secure, and that they meet the needs of our customers. 


The ideal candidate will have an extended experiences of deployment and maintaining of AI / ML models in production, a deep understanding of the latest developments in machine learning &amp; artificial intelligence and working experience with both structured and unstructured data. 


Job Responsibilities: 

<ul>
<li>Collaborate closely with the AI / ML and software teams to improve the internal processes and integrate the Machine Learning models into our products and services.</li>
<li>MLOps and Automation that cover automating data pipelines, monitoring data processes, and managing deployments using tools like Azure DevOps, Azure Monitor, and Azure Automation to achieve continuous integration and delivery (CI/CD).</li>
<li>Deploy and manage AI/ML models in production.</li>
<li>Automating AI/ML model deployment and updating.</li>
<li>Setting up monitoring for the AI/ML pipeline.</li>
<li>Automating scalable CI/CD pipelines to account for data, codes, and model changes.</li>
<li>Development and setting up automated model retraining and test pipelines.</li>
<li>Prepare unit tests for AI / ML algorithms and models.</li>
<li>Contribution in design, development, and test of data ETL pipelines for ML models.</li>
<li>Provides best practices and running proof-of-concepts for automated and efficient model operations on a large scale.</li>
<li>Maintaining the infrastructure that supports the models and algorithms.</li>
<li>Design, build and deploy powerful BI solutions as per business requirements.</li>
<li>Participate in modeling Relational and NoSQL databases.</li>
<li>Host and optimize ML Artifacts on premise and on the cloud.</li>
<li>Contribution in projects documentation.</li>
<li>Investigating new technologies that meet corporate standards to enhance the team.</li>
<li>Work in a team oriented and agile environment based on designed scrums, sprints and daily stand ups.</li>
<li>Ability to work on your own and with the team.</li>
<li>Performs other duties as assigned.</li></ul> 


Qualifications: 


You MUST have the following: 

<ul>
<li>Bachelor&rsquo;s degree in computer science, Computer Engineering, Machine Learning, or related areas.</li>
<li>Proven experience as a ML Ops Engineer or similar role.</li>
<li>Understanding of data structures, data modeling and software architecture.</li>
<li>Ability to design and implement cloud solutions.</li>
<li>Ability to write robust codes in SQL and Python.</li>
<li>Experience working with Containers and Kubernetes.</li>
<li>High level knowledge of frameworks such as Keras, PyTorch, Tensorflow.</li>
<li>Ability to build MLOps pipelines including CI/CD Configuration Management, Containers &amp; Infrastructure Orchestration.</li>
<li>Experience with software development and preparation of Python packages.</li>
<li>Experience in using MLOps frameworks like MLFlow.</li>
<li>Working knowledge of orchestrating end to end ML pipelines.</li>
<li>Deep understanding of Azure, Private Networking, ML Studio and its sub-components, Azure Synapse, Azure DataBricks, Azure Stream Analytics, Azure Data factory, OpenAI, Github Actions, and Azure DevOps.</li>
<li>Experiences with version control tools such as Github.</li>
<li>Work experiences with typical data storage technologies and methodologies included data warehouse and data lake.</li>
<li>Work experience with APIs.</li>
<li>Expertise in SQL, NoSQL databases.</li>
<li>Ability to write Linux/Unix Shell Scripting.</li>
<li>Excellent communication skills.</li>
<li>Ability to work in a team.</li>
<li>Outstanding analytical and problem-solving skills.</li></ul> 


Working Hours:

Eastern Standard Time (EST)</div>

Azure Machine Learning Engineer - (Remote)

Explore 394+ Ai ml engineer in Lahore this October. Find roles across top companies and apply now to boost your career.

394 ai ml engineer jobs IN Lahore

AI/ML Engineer

Senior AI / ML Engineer

Senior AI / ML Engineer

Lead AI/ML Engineer

AI/ML Engineer

AI Engineer With 3 Years Of Experience

Azure Machine Learning Engineer - (Remote)