HR Manager (M/F), 100% Remote
- Not specified per month
- Work from home
· Navi Mumbai
Swati Bhardwaj • 2nd Recruiting expert focused on sourcing and staffing solutions. 6h • Follow 🚨 Hiring Now Computer vision AI engineer We’re looking for a Computer vision AI engineer Navi Mumbai 📍 Location: Navi Mumbai 💼 Position: 2 opening Experience Required:4-5 Yr Responsibilities: Algorithm Development: Develop, test, and deploy advanced computer vision algorithms for tasks such as object detection, object tracking, image segmentation, and feature extraction. Research and implement state-of-the-art computer vision methodologies, optimizing them for specific application requirements. Model Design and Optimization: Design and train deep learning models tailored to application needs using frameworks like TensorFlow, PyTorch, or Keras. Optimize models for performance, accuracy, and efficiency, ensuring suitability for real-time or resource-constrained environments. Use quantization, pruning, and other optimization techniques to deploy models on edge devices. Data Handling and Preprocessing: Work with large datasets to preprocess, clean, and augment data for improved model performance. Create automated pipelines for data labeling, annotation, and validation. Software Integration: Integrate computer vision algorithms and models into existing or new software platforms, ensuring seamless interoperability with other system components. Collaborate with software engineers to design APIs, SDKs, or modules for integrating vision capabilities. Handle real-time data streams from cameras and sensors, processing them within application frameworks. Performance Monitoring and Testing: Develop unit tests, validation frameworks, and metrics to ensure the reliability and robustness of vision systems. Monitor the deployed system's performance in real-world scenarios, identifying and resolving bottlenecks. Deployment and Edge Computing: Deploy computer vision solutions on cloud platforms (AWS, GCP, Azure) or edge devices (e.g., NVIDIA Jetson, Raspberry Pi). Optimize for low latency and efficient resource utilization on edge environments. Research and Continuous Learning: Stay up-to-date with the latest advancements in computer vision and AI. Identify and implement innovative solutions to address emerging challenges in the domain. Collaboration and Documentation: Work with cross-functional teams, including hardware, software, and business units, to align vision solutions with project goals. Prepare detailed documentation for models, algorithms, and integration workflows, ensuring knowledge transfer and maintainability. #Computervision #AIML #machinelearning #Navimumbai … more 4
Got the HR number directly and had an interview the same week. No agent, no fee.
Candidate quality is better because applicants have already read the full role.
Most portals hide the contact. Here I could call the recruiter myself.
Posted here and filled the role without paying for a listing.
Filtered fresher-friendly roles and applied to six in one evening. Two called back.
Applicants call directly, so screening starts on day one.
Immediate joiner filter saved me weeks. Found a role starting the next Monday.
Reach into tier-two cities is stronger than the paid boards we used.
As a student the free contacts mattered. I did not pay anything at any point.
Straightforward posting flow. No sales call before it goes live.
Listings are recent and the companies are real. Rarer than it should be.
The immediate-joiner filter genuinely works. Saves both sides time.
Applied from my phone between classes. The mobile layout is genuinely quick.
Response volume was high without being unmanageable.
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