Machine Learning Engineer
2 weeks ago
About the job Machine Learning Engineer (Computer Vision)
Company Description:
Our Client Company is a global frontrunner in championing skilled behavior change in the workplace. Established in 1992, our unwavering mission has been to revamp businesses by cultivating skills and habits that ensure the safety, health, and productivity of workers. Over the span of our 30-year legacy, we have forged solid partnerships with premier companies globally and prominent health and safety bodies.
Job Description:
We are looking for an expert-level AI Engineer specialising in Computer Vision and Vision-based AI solutions. This position is ideal for professionals passionate about developing advanced visual intelligence systems, with deep expertise in computer vision techniques such as object detection, image segmentation, video analytics, behavioural analysis, and visual recognition. You will collaborate closely with engineering and product teams to deploy innovative vision-based AI applications across various domains, leveraging state-of-the-art models and cloud infrastructure.
Key Responsibilities:
- Develop, optimize, and integrate advanced computer vision models for applications in object detection, segmentation, tracking, behavioural analytics, and image analysis.
- Implement and fine-tune deep learning architectures (YOLO, Detectron2, ResNet, EfficientNet, ViT) for high-performance visual understanding tasks.
- Design robust vision pipelines capable of real-time image/video processing, anomaly detection, and inference.
- Deploy scalable AI solutions using cloud services (AWS, Google Cloud, Azure) and containerisation tools (Docker, Kubernetes).
- Collaborate closely with cross-functional teams to deliver tailored vision solutions aligned with business objectives, including applications in monitoring, surveillance, and activity analysis.
- Conduct research and experiments to enhance the accuracy, scalability, and performance of vision AI models, particularly in real-time scenarios.
- Stay updated on recent advancements in computer vision, visual transformers (ViTs), LVMs (Large Vision Models), and associated AI trends.
Required Skills and Qualifications:
- Bachelors or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 1 to 2 years of professional experience specifically focused on Computer Vision and deep learning solutions.
- Strong proficiency in Python with proven experience in frameworks such as PyTorch, TensorFlow, OpenCV, Detectron2, or YOLO.
- Demonstrated expertise in building vision models for object detection, segmentation, image classification, behaviour analysis, and video analytics.
- Hands-on experience deploying vision AI applications on cloud platforms (AWS SageMaker, Google Vertex AI, Azure Vision APIs).
- Solid understanding of optimisation techniques for real-time visual AI performance.
- Proficiency with SQL and NoSQL databases relevant to AI applications.
- Excellent analytical, problem-solving, and collaborative skills.
Desirable Skills:
- Experience with Large Vision Models (LVMs) and Visual Transformers (ViTs).
- Familiarity with MLOps, model deployment pipelines, and performance monitoring.
- Experience developing AI-driven mobile or edge applications.
- Contributions to open-source computer vision projects or a robust portfolio of personal projects.
This role offers a unique opportunity to lead the development and deployment of cutting-edge computer vision AI solutions. If you're passionate about pushing the boundaries of what's possible with visual AI, we'd love to connect
Other Details:
Work Days: Monday to Friday
Core Hours: 10:30 AM to 6:00 PM (with a 1-hour break)
Flexible Hours: 1.5 hours can be worked between 9:00 to 10:30 AM or 6:00 - 7:30 PM
Total Work Hours: 8 hours
Experience: 1 - 2 years
Location: Islamabad
About HR Ways: HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from the world's biggest SaaS Companies to the most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. Join our WhatsApp Channel here to stay updated or visit www.hrways.co to know more.
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