We are looking for a highly motivated Deep Learning Engineer with strong expertise in computer vision and audio analysis. The ideal candidate should be comfortable working with CNNs, pretrained models, attention mechanisms, vision transformers, video processing, object detection, and audio classification. You will be part of a team developing AI-driven solutions using multi-modal deep learning. Responsibilities Design and implement deep learning models for image, video, object detection, and audio classification tasks. Apply and fine-tune CNN-based architectures and Vision Transformers (e. g., ViT, Swin). Integrate attention mechanisms (e. g., SE, CBAM, Transformer attention) into model architectures for enhanced feature learning. Utilize pretrained models for transfer learning and multi-task learning. Work with video data using spatiotemporal modeling techniques (e. g., 3D CNNs, temporal attention). Extract and process features from audio using spectrograms, MFCCs, or learned embeddings. Evaluate and optimize models for speed, accuracy, and robustness. Collaborate across teams to deploy models into production. Requirements Strong programming skills in Python, with experience in PyTorch or TensorFlow. Hands-on experience with CNNs, pretrained networks, and attention modules. Solid knowledge of Vision Transformers, including recent architectures (e. g., Swin, DeiT). Understanding of attention mechanisms (self-attention, cross-attention, squeeze-and-excitation, etc. ). Experience implementing and training object detection models (YOLO, SSD, Faster R-CNN, RetinaNet, DETR). Experience in video analysis and temporal modeling. Strong grasp of audio classification workflows and features. Experience handling large-scale datasets and designing data pipelines. Familiarity with training strategies for deep models, including learning rate scheduling, early stopping, and data augmentation. This job was posted by Anshika Mahapatra from CureBay.
We are seeking a highly motivated Deep Learning Engineer with specialized expertise in computer vision and audio analysis. As a part of our team developing AI-driven solutions utilizing multi-modal deep learning, you will play a crucial role in designing and implementing deep learning models for various tasks such as image, video, object detection, and audio classification. Your responsibilities will include integrating attention mechanisms into model architectures, utilizing pretrained models for transfer learning, and working with video data using spatiotemporal modeling techniques. Additionally, you will be responsible for extracting and processing features from audio and evaluating and optimizing models for speed, accuracy, and robustness. Collaboration across teams to deploy models into production will also be a key aspect of this role. The ideal candidate should have strong programming skills in Python, proficiency in PyTorch or TensorFlow, and hands-on experience with CNNs, pretrained networks, and attention modules. A solid understanding of Vision Transformers, recent architectures, and attention mechanisms is essential. Experience in implementing and training object detection models, video analysis, temporal modeling, and audio classification workflows is highly desired. Moreover, familiarity with handling large-scale datasets, designing data pipelines, and training strategies for deep models will be beneficial for this position. If you are passionate about deep learning, possess the required skills and experience, and are eager to contribute to cutting-edge AI solutions, we encourage you to apply for this position. Join us at CureBay and be a part of our dynamic team dedicated to pushing the boundaries of technology and innovation.,
The ideal candidate will be responsible for providing care to patients while adhering to compliance standards. This candidate should be able to recognize patient needs and prioritize those needs with the advice outlined by physicians. Responsibilities Assure quality care by adhering to standards set by the physicians Provide care education to patients in person or over the phone Adhere to compliance guidelines throughout processes Qualifications Must be a Registered Professional Nurse with current licensure BSc nursing (with training experience) GNM/ANM
As a Deep Learning Engineer at CureBay, you will be an integral part of the team working on AI-driven solutions that leverage multi-modal deep learning techniques for tasks such as image, video, object detection, and audio classification. Your role will involve designing and implementing deep learning models, integrating attention mechanisms, and optimizing models for speed, accuracy, and robustness. Collaboration with cross-functional teams to deploy models into production will also be a key aspect of your responsibilities. **Key Responsibilities:** - Design and implement deep learning models for various tasks including image, video, object detection, and audio classification. - Integrate attention mechanisms into model architectures to enhance performance. - Utilize pretrained models for transfer learning to improve efficiency. - Work with video data using spatiotemporal modeling techniques. - Extract and process features from audio data for classification purposes. - Evaluate and optimize models for speed, accuracy, and robustness. - Collaborate with different teams to deploy models into production effectively. **Qualifications Required:** - Strong programming skills in Python. - Proficiency in PyTorch or TensorFlow. - Hands-on experience with Convolutional Neural Networks (CNNs), pretrained networks, and attention modules. - Solid understanding of Vision Transformers, recent architectures, and attention mechanisms. - Experience in implementing and training object detection models, video analysis, temporal modeling, and audio classification workflows. - Familiarity with handling large-scale datasets, designing data pipelines, and training strategies for deep learning models. If you are passionate about deep learning, possess the necessary skills and experience, and are excited to contribute to cutting-edge AI solutions, we invite you to apply for this position at CureBay. Join our dynamic team dedicated to pushing the boundaries of technology and innovation.,
As a Deep Learning Engineer at CureBay, you will be a key member of the team focused on developing AI-driven solutions through multi-modal deep learning techniques. Your role will involve designing and implementing deep learning models specifically for tasks like image, video, object detection, and audio classification. Your contributions will be crucial in integrating attention mechanisms into model architectures, utilizing pretrained models for transfer learning, and applying spatiotemporal modeling techniques to video data. Key Responsibilities: - Design and implement deep learning models for various tasks including image, video, object detection, and audio classification - Integrate attention mechanisms into model architectures and utilize pretrained models for transfer learning - Work with video data using spatiotemporal modeling techniques - Extract and process features from audio and optimize models for speed, accuracy, and robustness - Collaborate across teams to deploy models into production Qualifications Required: - Strong programming skills in Python - Proficiency in PyTorch or TensorFlow - Hands-on experience with CNNs, pretrained networks, and attention modules - Solid understanding of Vision Transformers, recent architectures, and attention mechanisms - Experience in implementing and training object detection models, video analysis, temporal modeling, and audio classification workflows - Familiarity with handling large-scale datasets, designing data pipelines, and training strategies for deep models If you are passionate about deep learning and possess the necessary skills and experience, we invite you to apply for this exciting opportunity at CureBay. Join our dynamic team dedicated to driving the forefront of technology and innovation.,
Job Title: Software Engineer L2 Support Department: Engineering / Technical Support Location: Bhubaneswar, Odisha Role Summary: We are looking for a highly skilled and analytical Software Engineer (Level 2 Support) to join our engineering support team. This role involves troubleshooting complex technical issues , identifying root causes, and collaborating with engineering, product, and customer support teams to ensure system reliability and customer satisfaction. Key Responsibilities: Own and resolve high-priority technical escalations that go beyond L1 capabilities. Perform deep-dive root cause analysis (RCA) of production incidents and system anomalies Collaborate with DevOps, QA, and development teams to roll out hotfixes, patches. Analyse logs, databases, APIs, and distributed systems to identify bottlenecks or failures Document workarounds, fixes, and technical FAQs for the knowledge base Participate in incident management , postmortems , and on-call rotations Suggest and implement tooling, monitoring, and automation to reduce repeat issues Required Skills: 24 years of experience in software application support Good debugging skills in Java / ReactJS Proficient with SQL , log analysis , and RESTful APIs Must speak English, Hindi & Odia. Good to have cloud platforms (AWS / GCP / Azure) and monitoring tools (Prometheus, ELK) Exposure to production systems and incident response best practices Excellent communication and collaboration skills with engineering and non-technical teams
🌟 Hiring Now: GCP DevOps Engineer (3–5 Years Experience) – A Role That Truly Elevates Your Career Value CureBay is rapidly scaling its cloud-powered healthcare ecosystem, and we are looking for a GCP DevOps Engineer who wants more than “just another job.” This is a role where your skills grow fast, your impact is visible, and your professional value rises significantly over time. ⸻ 🔧 Role: GCP DevOps Engineer (3–5 Years Experience) We’re looking for someone who thrives in automation, cloud engineering, and modern DevOps practices. Your Responsibilities • Build and automate CI/CD pipelines for faster, smoother releases • Manage and optimize GCP infrastructure at scale • Deploy and maintain microservices on Kubernetes (GKE) • Strengthen platform reliability through monitoring & observability • Implement secure DevSecOps practices • Work closely with engineering to improve performance and efficiency ⸻ 💡 What You Bring • Strong hands-on knowledge of Kubernetes, Docker, Linux • Experience with CI/CD tools (Cloud Build / Jenkins / GitHub / Bitbucket) • Understanding of GCP components: Compute Engine, Cloud Run, VPC, Cloud SQL, Artifact Registry • Comfortable with monitoring and troubleshooting • A mindset that always looks for automation and optimization ⸻ 💰 Why Ambitious DevOps Engineers Choose This Opportunity This role stands out because it directly contributes to increasing your career market value: • You’ll work with high-demand, high-paying technologies (GKE, Cloud Run, DevSecOps) • You gain experience that positions you for top-tier DevOps roles in the future • You work in a fast-scaling environment where your contributions accelerate your growth • You build expertise that makes you more competitive and better rewarded in the industry • You get to solve complex problems that strengthen your portfolio and professional brand