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dae / btech mechanical engineer

ai engineer

Webtronix

Job Summary: We are seeking a highly skilled Senior AI Engineer to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have a strong background in AI/ML algorithms, deep learning frameworks, and production-level system design, with the ability to translate complex business problems into scalable AI solutions.Responsibilities:<ul><li>Design, implement, and optimize machine learning models and AI systems.</li><li>Lead AI research and development projects from prototype to production.</li><li>Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications and workflows.</li><li>Evaluate and select appropriate AI tools, libraries, and technologies.</li><li>Mentor junior team members and contribute to best practices in AI development.</li><li>Stay updated with the latest trends and advancements in AI/ML research.</li><li>Drive initiatives in areas such as NLP, computer vision, predictive analytics, and generative AI.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred).</li><li>5+ years of experience in AI/ML development, with at least 2+ years in a senior or lead role.</li><li>Proven experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).</li><li>Proficiency in Python and relevant libraries (NumPy, Pandas, etc.).</li><li>Strong understanding of deep learning, NLP, reinforcement learning, or computer vision.</li><li>Experience deploying models into production environments (Docker, Kubernetes, cloud platforms).</li><li>Excellent problem-solving, communication, and leadership skills.</li></ul>Technical Skills:<ul><li>Experience with LLMs (e.g., GPT, BERT), generative models, or multi-modal AI.</li><li>Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker, etc.).</li><li>Contributions to AI research (papers, patents, open-source).</li><li>Strong in Python (preferred)</li><li>Familiarity with R, Java, or C++ is a plus</li><li>TensorFlow, PyTorch, Scikit-learn</li><li>Keras, Hugging Face Transformers</li><li>OpenCV (for computer vision), SpaCy or NLTK (for NLP)</li><li>Deep Learning (CNNs, RNNs, Transformers)</li><li>Classical ML (Regression, SVMs, Decision Trees, etc.)</li><li>NLP, Computer Vision, or Generative AI</li><li>SQL, NoSQL, Pandas, NumPy</li><li>Big data tools (Spark, Hadoop) is a plus</li><li>Model deployment using Docker, Kubernetes, Flask/FastAPI</li><li>Experience with cloud platforms (AWS, GCP, Azure)</li><li>CI/CD pipelines for ML workflows (e.g., MLflow, Kubeflow, Airflow)</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In personApplication Deadline: 28/06/2025

Senior AI Engineer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
 
 
 
 Location: Remote (Full-time)
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and motivated MLOps Engineer with a strong background in computer vision. In this role, you will be responsible for the full lifecycle of our machine learning models, from development and optimization to deployment and scaling. You will build and maintain the infrastructure that allows our cutting-edge computer vision algorithms to run reliably and efficiently in production. The ideal candidate will have a deep understanding of both MLOps principles and 3D computer vision, with hands-on experience in containerization, model optimization, and scalable systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain robust, scalable, and automated MLOps pipelines for model training, evaluation, and deployment (CI/CD for ML)
 </li>
 <li>
 Containerize machine learning applications using Docker for scalable and reproducible deployments
 </li>
 <li>
 Deploy and manage ML models at scale
 </li>
 <li>
 Optimize deep learning models for inference performance, including techniques like quantization, pruning, and distillation
 </li>
 <li>
 Work with and extend state-of-the-art AI models for tasks such as:
 </li>
 <li>
 Depth estimation and 6D object pose estimation
 </li>
 <li>
 Image and video segmentation
 </li>
 <li>
 Dense point tracking and feature matching
 </li>
 <li>
 Develop and maintain monitoring systems to track model performance, detect data drift, and ensure the reliability of production systems
 </li>
 <li>
 Collaborate with AI researchers and software engineers to transition models from research to production
 </li>
 <li>
 Manage and optimize pipelines for processing large-scale 3D data, including point clouds, LiDAR, and stereoscopic imagery
 </li>
 <li>
 Apply a strong mathematical understanding of spatial transformations, rigid body rotations, and coordinate frame alignment to ensure algorithmic integrity in production
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's in Computer Science, Engineering, or a related field
 </li>
 <li>
 Proven experience in an MLOps, DevOps, or similar role with a focus on machine learning
 </li>
 <li>
 Strong programming skills in Python and/or C++
 </li>
 <li>
 A portfolio of projects or publications in the field of computer vision or MLOps
 </li>
 <li>
 Hands-on experience with model optimization techniques (quantization, etc.) and frameworks (e.g., TensorRT, ONNX Runtime)
 </li>
 <li>
 Hands-on experience with containerization technologies
 </li>
 <li>
 Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) and version control (Git)
 </li>
 <li>
 Solid understanding of general computer vision and 3D computer vision principles
 </li>
 <li>
 Experience with deep learning frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 A strong mathematical foundation in spatial transformations, rigid body rotations, coordinate frame alignment, and triangulation
 
 
 </li>
 </ul>
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 Powered by JazzHR
 
 
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</div>

AI Engineer

Caps IT Solutions

Job Title: AI/ML EngineerExperience: 2&ndash;3 YearsLocation: Full-time, On-site (Bahria Town Phase 4, Rawalpindi)We are looking for a passionate AI/ML Engineer with 2&ndash;3 years of hands-on experience in building and deploying machine learning models. The ideal candidate should have a strong understanding of data pipelines, model training, and optimization. Experience with NLP, computer vision, or geospatial AI is a plus.Responsibilities:<ul><li>Develop, train, and deploy machine learning models</li><li>Build and maintain data processing pipelines</li><li>Work closely with product and engineering teams to integrate AI solutions</li><li>Research and implement state-of-the-art algorithms</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, or related field</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)</li><li>Experience with cloud services (AWS, GCP, Azure) is a plus</li><li>Good problem-solving and communication skills</li></ul>Job Type: Full-timeWork Location: In person

Sr ML/AI Engineer

Placentek

<div>
 
 Job Title:
 
 Junior AI/ML Engineer
 
 
 
 Location:
 
 Islamabad (On-site)- I-10.
 
 
 
 Job Type:
 
 Full-time
 
 
 
 About The Role
 
 
 
 Were hiring on behalf of one of our long-term technology clients, a services based company working on advanced AI/ML systems across domains like computer vision, NLP, and LLM-based applications.
 
 
 This is a
 
 full-time, on-site role in Islamabad
 
 , ideal for
 
 fresh graduates or junior professionals
 
 (up to 1 year of experience) who are passionate about launching their careers in AI and working on meaningful real-world projects. Youll work closely with experienced engineers and contribute to scalable AI solutions from day one.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of machine learning models.
 </li>
 <li>
 Assist in building data pipelines and performing data preprocessing.
 </li>
 <li>
 Conduct exploratory data analysis (EDA) and feature engineering.
 </li>
 <li>
 Train and evaluate models using standard ML techniques and frameworks.
 </li>
 <li>
 Collaborate on experimentation with libraries like Scikit-learn, PyTorch, or TensorFlow.
 </li>
 <li>
 Support documentation of experiments, findings, and model outcomes.
 </li>
 <li>
 Stay updated on new tools, research papers, and best practices in AI/ML.
 </li>
 <li>
 Work closely with cross-functional teams including software engineers and product managers.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelors degree in Computer Science, Data Science, Electrical Engineering, or a related technical field.
 </li>
 <li>
 Academic or project-based experience in AI/ML, data science, or computer vision.
 </li>
 <li>
 Familiarity with Python and libraries such as NumPy, Pandas, and Matplotlib.
 </li>
 <li>
 Understanding of core ML concepts: model training, evaluation, bias/variance, overfitting, etc.
 </li>
 <li>
 Willingness to learn quickly and contribute actively in a team environment.
 </li>
 <li>
 Strong verbal and written communication skills.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Hands-on exposure to TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Final year project, internship, or coursework in AI/ML, NLP, or LLMs.
 </li>
 <li>
 Familiarity with version control (Git), Jupyter Notebooks, or Google Colab.
 </li>
 <li>
 Participation in open-source, Kaggle, or ML-related challenges is a plus.
 </li>
 <li>
 Based in or near Islamabad for on-site collaboration.
 
 
 
 </li>
 </ul>
 
 What Youll Get
 
 
 
 <ul>
 <li>
 Fast-track probation: Standard 2-month probation often reduced to 1 month based on performance.
 </li>
 <li>
 Timely increments: First salary review right after probation; and bi-annual performance reviews.
 </li>
 <li>
 Quarterly bonuses: A percentage of quarterly earnings are shared with the team as performance bonuses.
 </li>
 <li>
 Subsidized lunch: Fresh, affordable meals available during workdays.
 </li>
 <li>
 Health insurance: Full coverage for the employee and their dependents.
 </li>
 <li>
 Team culture: Regular team dinners, events, and a collaborative, high-performance environment.
 
 </li>
 </ul>
</div>

Junior AI/ML Engineer

AIOTAC

<div>
 We are looking for a motivated and enthusiastic AI/ML Intern to join our team and work on cutting-edge projects. This is an excellent opportunity to apply your skills in machine learning, data science, and programming to solve real-world challenges.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Work with the team to design and improve machine learning models for specific projects.
 </li>
 <li>
 Clean and prepare data for analysis and model training.
 </li>
 <li>
 Explore and test new machine learning techniques to make models more accurate and efficient.
 </li>
 <li>
 Help deploy and test models in environments similar to production.
 </li>
 <li>
 Collaborate with software engineers to integrate models into existing systems.
 </li>
 <li>
 Stay updated on new AI and machine learning tools and trends
 </li>
 <li>
 </li>
 <li>
 Keep detailed records of processes, findings, models, and performance for future reference.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 A degree in Computer Science, Data Science, or a related field is required.
 </li>
 <li>
 Good understanding of machine learning algorithms like regression, classification, and clustering.
 </li>
 <li>
 Proficient in Python and libraries
 </li>
 <li>
 Familiar with cloud platforms like AWS, Google Cloud, or Azure.
 </li>
 <li>
 Knowledge of NLP or computer vision is a plus.
 </li>
 <li>
 Comfortable with version control systems, particularly Git.
 
 
 
 </li>
 </ul>
 
 What We Offer:
 
 
 
 <ul>
 <li>
 A supportive environment with mentorship opportunities to grow your skills.
 </li>
 <li>
 Opportunities to work on impactful projects and contribute to innovative products.
 </li>
 <li>
 Access to learning resources and professional development.
 
 </li>
 </ul>
</div>

AI/ML Engineer

Cerberus Comm.

Location: Bahria Town Phase 6, Rawalpindi, Pakistan (Must be available during US business hours, 7pm-4am)Employment Type: Full-TimeStart Date: Immediate (YOU MUST JOIN ON 1 DAY NOTICE)We are seeking an experienced LangGraph Developer to join our innovative AI team immediately. In this role, you will design, build, and optimize stateful, multi-actor applications using LangGraph, focusing on integrating large language models (LLMs) for complex AI workflows. The ideal candidate has a strong background in graph-based AI development, with hands-on experience in creating scalable, agentic systems. This position requires working in US timezones to ensure seamless collaboration with our global team and stakeholders. If you're passionate about AI and ready to contribute from day one, we want to hear from you!Key Responsibilities<ul><li>Use CoPilot Tool Kit and Cursor AI for speedy Development</li><li>Design and implement LangGraph-based applications, including defining nodes, edges, and state management for multi-agent systems.</li><li>Integrate LangGraph with LLMs (e.g., via LangChain ecosystem) to build conversational agents, decision-making workflows, and dynamic AI pipelines.</li><li>Develop custom graphs for tasks such as retrieval-augmented generation (RAG), tool calling, and long-running processes with persistence.</li><li>Collaborate with AI engineers, data scientists, and product teams to translate requirements into robust LangGraph solutions.</li><li>Optimize graphs for performance, scalability, and error handling, including debugging complex state transitions and cycles.</li><li>Conduct code reviews, implement best practices for version control (e.g., Git), and ensure adherence to Python and LangChain coding standards.</li><li>Stay updated with the latest advancements in LangGraph, LangChain, and related AI frameworks to recommend innovative approaches.</li><li>Provide technical guidance and mentorship to junior developers working on AI projects.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).</li><li>Minimum 2 years of professional experience as a LangGraph Developer or in similar roles involving graph-based AI frameworks.</li><li>Proven expertise in LangGraph, including building custom graphs, agents, and stateful applications.</li><li>Strong proficiency in Python, with experience in LangChain, LangSmith, and related libraries for LLM orchestration.</li><li>Hands-on knowledge of integrating with APIs, databases (e.g., vector stores like Pinecone or FAISS), and cloud services (e.g., AWS, GCP).</li><li>Familiarity with AI concepts such as prompt engineering, chain-of-thought reasoning, and multi-agent collaboration.</li><li>Experience with testing and deployment tools like Docker, Kubernetes, or CI/CD pipelines.</li><li>Must have experience working with Cursor AI and GitHub Copilot for AI-assisted coding and development workflows.</li><li>Experience with CopilotKit (Copilot Toolkit) for building in-app AI copilots, including integration with React, LangChain, and LLMs via the AG-UI protocol.</li><li>Ability to work independently while aligning with US timezones (e.g., 9 AM - 5 PM EST availability required).</li><li>Excellent problem-solving skills, attention to detail, and a portfolio showcasing relevant LangGraph or AI projects.</li><li>Must be available to join immediately&mdash;no notice period preferred.</li></ul>Preferred Skills<ul><li>Experience with advanced LLM frameworks like Hugging Face Transformers, OpenAI API, or Anthropic Claude.</li><li>Knowledge of graph databases (e.g., Neo4j) and visualization tools for debugging AI workflows.</li><li>Familiarity with agile methodologies and tools like Jira or Trello.</li><li>Background in machine learning operations (MLOps) for deploying AI models at scale.</li></ul>What We Offer<ul><li>Salary up to 200,000 based on experience.</li><li>Flexible work with a focus on work-life balance.</li><li>Opportunities for professional growth and skill development in cutting-edge AI technologies.</li><li>Collaborative team environment with innovative projects.</li></ul>Job Type: Full-timePay: Up to Rs200,000.00 per monthApplication Question(s):<ul><li>When can you join? </li><li>What is your current and expected salary? </li><li>Only apply if you can work in night shift. Ok?</li></ul>Experience:<ul><li>LangGraph : 2 years (Required)</li></ul>Location:<ul><li>Islamabad (Required)</li></ul>Work Location: In person

AI LangGraph Developer

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.
Responsibilities<ul><li>
Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.</li><li>
Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.</li><li>
Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.</li><li>
Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.</li><li>
Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).</li><li>
Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.</li><li>
Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.</li><li>
Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.</li></ul><ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience</li><li>
Expertise in Python &amp; Pytorch, including practical experience working with the full development pipeline from data processing &amp; data loading to training, inference, and optimization.</li><li>
Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.</li><li>
Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models .</li></ul><h4 class="jobSectionHeader">
Nice to have skills:</h4><ul><li>
PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field</li><li>
Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.</li><li>
First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior Research Engineer - Multimodal & Video Foundation Model

Explore 131+ Ai engineer in Islamabad this September. Find roles across top companies and apply now to boost your career.