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principal release engineer

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Cortech sols pvt ltd

CortechSols is urgently looking for a skilled Computer Vision Engineer to join our team! If you're passionate about building real-world solutions using AI, deep learning, and visual data &mdash; we want to hear from you ASAP. You&rsquo;ll be working on exciting projects where machines learn to &ldquo;see&rdquo; &mdash; from image recognition to real-time video analysis.What You&rsquo;ll Do:<ul><li>Build and improve models for image recognition, object detection, and video analysis</li><li>Work with large sets of image and video data &mdash; cleaning, annotating, and preparing for training</li><li>Train and fine-tune models using PyTorch, TensorFlow, and OpenCV</li><li>Help deploy models into real-world apps, ensuring speed and reliability</li><li>Collaborate with AI, product, and engineering teams to bring ideas to life</li></ul>Must-Have Skills:<ul><li>Python | OpenCV | NumPy</li><li>TensorFlow / PyTorch</li><li>Object Detection | Segmentation | Tracking</li><li>Experience working with image &amp; video data</li></ul>What We&rsquo;re Looking For:<ul><li>2&ndash;3 years of experience in computer vision or deep learning roles</li><li>Hands-on knowledge of visual recognition techniques</li><li>Strong problem-solving mindset and creative thinking</li><li>A background in Computer Science, Engineering, or related field</li></ul>Location: Gulberg Greens IslamabadExperience: 2&ndash;3 Years Full-timeJob Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Computer vision Engineer: 2 years (Required)</li></ul>Location:<ul><li>Islamabad (Required)</li></ul>Work Location: In person

Computer Vision Engineer

Eurus Technologies 

Positions: 4Job Type: Full Time (On-Site)Location: IslamabadWe are seeking an innovative and experienced AI/ML Engineer to design, develop, and deploy AI/ML solutions that address real-world challenges. The role involves building and optimizing models, crafting effective prompts for LLMs, and integrating AI into production systems at scale.Responsibilities:<ul><li>Design, develop, and deploy machine learning and deep learning models.</li><li>Preprocess, clean, and organize large datasets for optimal model performance.</li><li>Collaborate with data scientists and software engineers to integrate AI models into applications.</li><li>Design, test, and refine prompts to optimize Large Language Model (LLM) outputs for accuracy, relevance, and efficiency.</li><li>Optimize model performance, scalability, and resource utilization in production environments.</li><li>Stay current with advancements in AI/ML and prompt engineering techniques.</li><li>Develop APIs and services for model consumption.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>Proven experience in machine learning and AI solution development.</li><li>Proficiency in Python and frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.</li><li>Hands-on experience with prompt engineering for LLMs (e.g., GPT, Claude, or similar).</li><li>Strong understanding of statistics, data modeling, and deep learning concepts.</li><li>Experience deploying models using Docker, Kubernetes, or Cloud ML services..</li></ul>Nice to Have:<ul><li>Experience with natural language processing (NLP), computer vision, or reinforcement learning.</li><li>Familiarity with MLOps practices and CI/CD pipelines for ML.</li><li>Experience with cloud AI platforms, such as:</li><li>AWS Bedrock, AWS SageMaker</li><li>GCP AI Platform, Vertex AI Generative AI Studio</li><li>Azure ML, Azure AI Studio</li></ul>Compensation and Benefits:<ul><li>Market Competitive Salary</li><li>Personal and Family Medical Insurance</li><li>Personal Life Insurance</li><li>Parental Medical Insurance</li><li>Personal and Family OPD</li><li>Weekly Meal</li><li>EOBI</li><li>Paid Technical Certifications</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

Value Engineering

Position: AI/ML EngineerLocation: On-site, Night Shift, Bahria Phase 4 RawalpindiEmployment Type: Full-timeAbout the RoleWe are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data engineering, with the ability to design, build, and deploy AI solutions that solve complex real-world problems. You will collaborate closely with software engineers, data scientists, and product managers to integrate AI models into production systems and continuously improve their performance.Key Responsibilities<ul><li>Model Development &amp; Research</li><li>Design, train, and fine-tune machine learning and deep learning models for tasks such as classification, regression, NLP, computer vision, and generative AI.</li><li>Research and evaluate emerging AI/ML frameworks, architectures, and techniques to keep our systems cutting-edge.</li><li>Data Engineering</li><li>Collect, preprocess, clean, and transform structured and unstructured datasets (text, images, audio, PDFs, etc.).</li><li>Implement feature engineering, dimensionality reduction, and data augmentation techniques.</li><li>Deployment &amp; Scaling</li><li>Package and deploy models into production environments (e.g., using FastAPI, Flask, TensorFlow Serving, TorchServe, or Kubernetes).</li><li>Ensure scalability, performance, and security of deployed AI solutions.</li><li>MLOps &amp; Automation</li><li>Implement CI/CD pipelines for ML workflows (training, testing, deployment).</li><li>Use tools like MLflow, DVC, Airflow, or Kubeflow to manage experiments, track models, and orchestrate workflows.</li><li>Collaboration</li><li>Work with cross-functional teams to understand requirements and deliver AI-driven solutions.</li><li>Document designs, processes, and results for both technical and non-technical stakeholders.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field. (PhD is a plus.)</li><li>Solid programming skills in Python (experience with libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.</li><li>Proficiency in handling large datasets, SQL/NoSQL databases, and data pipelines.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).</li><li>Knowledge of version control (Git) and collaboration tools (Bitbucket, GitHub, GitLab).</li></ul>Preferred Skills<ul><li>Experience in NLP (transformers, LLM fine-tuning), Computer Vision, or Generative AI.</li><li>Familiarity with vector databases (Pinecone, Weaviate, pgvector, Chroma) for RAG pipelines.</li><li>Understanding of MLOps best practices (CI/CD for ML, model monitoring, drift detection).</li><li>Strong mathematical foundation (linear algebra, probability, optimization).</li><li>Prior experience in deploying end-to-end AI applications in real-world scenarios.</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical mindset.</li><li>Ability to work independently and in a collaborative environment.</li><li>Excellent communication skills to explain complex AI/ML concepts to non-technical teams.</li><li>Continuous learning attitude to stay updated with the latest advancements in AI/ML.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>are you comfortable working in night shift?</li><li>are you comfortable commuting to Bahria Phase 4 Rawalpindi?</li></ul>Work Location: In person

AI/ML Senior Software Engineer

Devsinc

<div>
 
 Description
 
 
 
 Devsinc is seeking a
 
 Senior AI/Machine Learning Engineer
 
 with a strong background in Python, machine learning, and deep learning frameworks. Our ideal candidate will excel in cloud environments (such as AWS, Azure, GCP, and Databricks), possess the ability to design innovative AI solutions, exhibit expertise in Python, Spark, and relevant AI libraries, and demonstrate a high level of personal responsibility.
 
 
 Principal Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain scalable, secure AI and machine learning applications utilizing Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and cloud services
 </li>
 <li>
 Design and implement machine learning models and algorithms to support various AI-driven client applications, with a focus on user interface interactions and AI-driven features
 </li>
 <li>
 Integrate third-party AI/ML APIs and services to existing web applications
 </li>
 <li>
 Promote a data-driven and machine learning approach with a commitment to delivering valuable AI enhancements consistently
 </li>
 <li>
 Deep understanding of LLMs (open source). We focus on a wide variety of NLP use cases including writing assistance, summarization, and concept extraction
 </li>
 <li>
 Lead and participate in NLP and computer vision model development, providing constructive feedback to foster a culture of continuous improvement among team members
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 3-6 years of experience as an active coder, with proficiency in Python 3.x, strong Object-Oriented Programming (OOP) skills, and familiarity with modern Python features
 </li>
 <li>
 Proven experience in Natural Language Processing (NLP) and Computer Vision (CV)
 </li>
 <li>
 In-depth knowledge of essential Python libraries such as numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Transformers, and others relevant to machine learning
 </li>
 <li>
 Competence in working with cloud environments (AWS, Azure, GCP, Databricks) and Linux, including Lambda/Serverless, SQS, SNS, S3, and EC2
 </li>
 <li>
 Experience deploying Transformer-based models into production
 </li>
 <li>
 Proficiency in Django or Flask is a huge plus
 </li>
 <li>
 Strong expertise in source control, code review, and repository management using Git
 </li>
 <li>
 Familiarity with software engineering principles and design patterns, including Dependency Injection, SOLID, Service Containers, and Providers
 </li>
 <li>
 Experience with containerization technologies like Docker
 </li>
 <li>
 Proficiency in building highly distributed, eventually consistent AI systems
 </li>
 <li>
 Familiarity with microservices architecture and message broker systems
 </li>
 <li>
 Expertise in various machine learning testing methodologies, including unit testing, integration testing, performance testing, and load testing
 </li>
 <li>
 Knowledge of data visualization, monitoring, and alerting concepts along with relevant tooling
 </li>
 <li>
 Excellent knowledge of Relational Databases, SQL, and ORM technologies such as SQLAlchemy
 </li>
 <li>
 Knowledge of LLMs, including fine-tuning and deployment integration with web applications
 </li>
 </ul>
</div>

Senior AI/ML Engineer

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:
We are looking for an experienced AI Model Engineer with deep expertise in kernel development, model optimization, fine-tuning, and GPU acceleration. The engineer will extend the inference framework to support inference and fine-tuning for Language models with a strong focus on mobile and integrated GPU acceleration (Vulkan).
This role requires hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging. You will play a critical role in pushing the boundaries of desktop and on-device inference and fine-tuning performance for next-generation SLM/LLMs. 
Responsibilities:<ul><li>
Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.</li><li>
Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.</li><li>
Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).</li><li>
Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.</li><li>
Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.</li><li>
Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.</li><li>
Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).</li><li>
Integrate and validate quantization workflows for training and inference.</li><li>
Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).</li><li>
Conduct GPU testing across desktop and mobile devices.</li><li>
Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.</li><li>
Deliver production-grade, efficient language model deployment for mobile and edge use cases.</li><li>
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.</li></ul><ul><li> 
Proficiency in C++ and GPU kernel programming.</li><li>
Proven Expertise in GPU acceleration with Vulkan framework.</li><li>
Strong background in quantization and mixed-precision model optimization.</li><li>
Experience and Expertise in Vulkan compute shader development and customization.</li><li>
Familiarity with LoRA fine-tuning and parameter-efficient training methods.</li><li>
Ability to debug GPU-specific performance and stability issues on desktop and mobile devices.</li><li>
Hands-on experience with mobile GPU acceleration and model inference.</li><li>
Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon etc.).</li><li>
Experience implementing custom backward operators for fine-tuning.</li><li>
Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning.</li><li>
Demonstrated ability to apply empirical research to overcome challenges in model</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 AI Research Engineer, Model Inference (Remote)

Position: Senior Software Engineer &ndash; AI/ML Location: On-Site, Night Shift, Bahria Phase 4 Rawalpindi Experience Required: 5&ndash;8 years in software development with strong AI/ML expertise Employment Type: Full-timeAbout the RoleWe are looking for a highly skilled Senior Software Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Python development. In this role, you will design, develop, and deploy advanced AI/ML solutions, working closely with data scientists, researchers, and engineering teams to build scalable, high-performance systems.Key Responsibilities<ul><li>Design, develop, and optimize AI/ML models and algorithms for production use.</li><li>Write clean, efficient, and scalable Python code for ML pipelines and applications.</li><li>Collaborate with data scientists to turn research prototypes into production-ready systems.</li><li>Build and maintain data pipelines, APIs, and deployment frameworks for ML models.</li><li>Ensure solutions meet standards for performance, reliability, and scalability.</li><li>Conduct code reviews, mentor junior engineers, and share best practices.</li><li>Stay up to date with the latest AI/ML trends, frameworks, and tools.</li><li>Work with cloud platforms (AWS, Azure, GCP) for model training and deployment.</li></ul>Requirements<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Software Engineering, Data Science, or related field.</li><li>5&ndash;8 years of software engineering experience with at least 3+ years in AI/ML projects.</li><li>Expert-level proficiency in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).</li><li>Strong understanding of machine learning, deep learning, and statistical modeling.</li><li>Hands-on experience with data preprocessing, feature engineering, and model evaluation.</li><li>Familiarity with cloud services (AWS Sagemaker, GCP AI Platform, Azure ML).</li><li>Experience with CI/CD pipelines, containerization (Docker, Kubernetes).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Preferred Skills<ul><li>Experience in NLP, Computer Vision, or Generative AI.</li><li>Familiarity with big data tools (Spark, Hadoop).</li><li>Contributions to open-source AI/ML projects.</li></ul>Why Join Us?<ul><li>Work on cutting-edge AI/ML projects that make real-world impact.</li><li>Be part of a collaborative and innovative engineering culture.</li><li>Competitive compensation, benefits, and opportunities for career growth.</li><li>Exposure to modern technologies and continuous learning opportunities.</li></ul>Job Type: Full-timeWork Location: In person

Senior Software Engineer AI/ML

Centrox AI

Job Description:We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will play a key role in analyzing complex data sets, deriving insights, and developing innovative solutions to drive business growth and enhance decision-making processes.Responsibilities:<ul><li>Collaborate with cross-functional teams to identify business challenges and opportunities where data science can provide valuable insights and solutions.</li><li>Collect, clean, and analyze large volumes of structured and unstructured data from various sources.</li><li>Apply advanced statistical and machine learning techniques to develop predictive models and algorithms that drive business outcomes.</li><li>Perform exploratory data analysis to uncover patterns, trends, and correlations within the data.</li><li>Develop and implement data-driven strategies to optimize business processes, improve customer experience, and drive growth.</li><li>Design and execute A/B tests and experiments to evaluate the effectiveness of different approaches and drive continuous improvement.</li><li>Communicate complex analytical findings and insights to stakeholders in a clear and concise manner.</li><li>Stay up-to-date with the latest advancements in data science, machine learning, and industry trends, and apply them to solve business challenges.</li><li>Mentor and provide guidance to junior data scientists and analysts as needed.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Minimum of 2 years of hands-on experience in data science, statistical analysis, and machine learning.</li><li>Proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).</li><li>Strong understanding of statistical concepts and modeling techniques (e.g., regression, classification, clustering, time series analysis).</li><li>Experience with machine learning frameworks (e.g scikit-learn, TensorFlow, PyTorch) and knowledge of deep learning algorithms is a plus.</li><li>Experience with data visualization tools (e.g., Matplotlib) to present insights and findings in a visually compelling manner.</li><li>Excellent problem-solving skills and the ability to translate business requirements into analytical solutions.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.</li></ul>Job Type: Full-timePay: From Rs100,000.00 per monthApplication Question(s):<ul><li>Application Question(s):</li></ul>Please fill the form for further consideration: https://cutt.ly/pwz0OhuWWork Location: In person

AI / ML Engineer

Explore 284+ Deep learning engineer in Islamabad this October. Find roles across top companies and apply now to boost your career.