What You’ll Work On 1. Deep Learning & Computer Vision Train models for image classification: binary/multi-class using CNNs, EfficientNet, or custom backbones. Implement object detection using YOLOv5, Faster R-CNN, SSD; tune NMS and anchor boxes for medical contexts. Work with semantic segmentation models (UNet, DeepLabV3+) for region-level diagnostics (e.g., cell, lesion, or nucleus boundaries). Apply instance segmentation (e.g., Mask R-CNN) for microscopy image cell separation. Use super-resolution and denoising networks (SRCNN, Real-ESRGAN) to enhance low-quality inputs. Develop temporal comparison pipelines for changes across image sequences (e.g., disease progression). Leverage data augmentation libraries (Albumentations, imgaug) for low-data domains. 2. Vision-Language Models (VLMs) Fine-tune CLIP, BLIP, LLaVA, GPT-4V to generate explanations, labels, or descriptions from images. Build image captioning models (Show-Attend-Tell, Transformer-based) using paired datasets. Train or use VQA pipelines for image-question-answer triples. Align text and image embeddings with contrastive loss (InfoNCE), cosine similarity, or projection heads. Design prompt-based pipelines for zero-shot visual understanding. Evaluate using metrics like BLEU, CIDEr, SPICE, Recall@K, etc. 3. Model Training, Evaluation & Interpretation Use PyTorch (core), with support from HuggingFace, torchvision, timm, Lightning. Track model performance with TensorBoard, Weights & Biases, MLflow. Implement cross-validation, early stopping, LR schedulers, warm restarts. Visualize model internals using GradCAM, SHAP, Attention rollout, etc. Evaluate metrics: • Classification: Accuracy, ROC-AUC, F1 • Segmentation: IoU, Dice Coefficient • Detection: mAP • Captioning/VQA: BLEU, METEOR 4. Optimization & Deployment Convert models to ONNX, TorchScript, or TFLite for portable inference. Apply quantization-aware training, post-training quantization, and pruning. Optimize for low-power inference using TensorRT or OpenVINO. Build multi-threaded or asynchronous pipelines for batched inference. 5. Edge & Real-Time Systems Deploy models on Jetson Nano/Xavier, Coral TPU. Handle real-time camera inputs using OpenCV, GStreamer and apply streaming inference. Handle multiple camera/image feeds for simultaneous diagnostics. 6. Regulatory-Ready AI Development Maintain model lineage, performance logs, and validation trails for 21 CFR Part 11 and ISO 13485 readiness. Contribute to validation reports, IQ/OQ/PQ, and reproducibility documentation. Write SOPs and datasheets to support clinical validation of AI components. 7. DevOps, CI/CD & MLOps Use Azure Boards + DevOps Pipelines (YAML) to: Track sprints • Assign tasks • Maintain epics & user stories • Trigger auto-validation pipelines (lint, unit tests, inference validation) on code push • Integrate MLflow or custom logs for model lifecycle tracking. • Use GitHub Actions for cross-platform model validation across environments. 8. Bonus Skills (Preferred but Not Mandatory) Experience in microscopy or pathology data (TIFF, NDPI, DICOM formats). Knowledge of OCR + CV hybrid pipelines for slide/dataset annotation. Experience with streamlit, Gradio, or Flask for AI UX prototyping. Understanding of active learning or semi-supervised learning in low-label settings. Exposure to research publishing, IP filing, or open-source contributions. 9. Required Background 4–6 years in applied deep learning (post academia) Strong foundation in: Python + PyTorch CV workflows (classification, detection, segmentation) Transformer architectures & attention VLMs or multimodal learning Bachelor’s or Master’s degree in CS, AI, EE, Biomedical Engg, or related field 10. How to Apply Send the following to info@sciverse.co.in Subject: Application – AI Research Engineer (4–8 Yrs, CV + VLM) Include: • Your updated CV • GitHub / Portfolio • Short write-up on a model or pipeline you built and why you’re proud of it OR apply directly via LinkedIn — but email applications get faster visibility. Let’s build AI that sees, understands, and impacts lives.
As a Deep Learning and Computer Vision Engineer at Sciverse Solutions Pvt. Ltd., you will be an integral part of the core AI team responsible for designing, training, and deploying models for various applications in the field of microscopy image analysis, diagnostic automation, and embedded vision systems. Your contribution will also involve exploring vision-language models (VLMs) to enhance structured report generation capabilities. Your primary responsibilities will include developing and training deep learning models for tasks such as object detection, segmentation, classification, and metric learning using real-world biomedical and diagnostic datasets. You will work on optimizing models for embedded and edge inference, collaborating with firmware and software teams for seamless deployment, and building scalable vision pipelines for tasks like cell counting and morphology estimation. Additionally, you will have the opportunity to experiment with transformer-based models and VLMs for microscopy captioning and report generation. Collaboration with cross-functional teams, staying updated with the latest advancements in vision and multimodal AI, and possessing a strong foundation in deep learning are essential for success in this role. Must-have skills for this position include a strong understanding of deep learning concepts, experience with image classification and segmentation, proficiency in PyTorch and optionally TensorFlow, and hands-on experience with model deployment and optimization tools. Strong debugging and visualization skills, familiarity with medical imaging formats, and exposure to MLOps tools are considered advantageous. The ideal candidate for this role is a self-starter with a strong sense of ownership, passionate about leveraging AI to solve real-world healthcare challenges, and thrives in an agile, research-to-product environment. By joining Sciverse, you will have the opportunity to work on mission-driven healthcare technology, solve unique AI and vision challenges, and be part of a fast-growing, engineering-driven team. If you are excited about making a meaningful impact in the healthcare industry through cutting-edge technology, we encourage you to apply by emailing your CV, portfolio (if any), and a brief statement outlining your enthusiasm for this role to info@sciverse.co.in.,
Sciverse is searching for an experienced Django Developer who has the capability to work on backend API development and contribute to deep learning and computer vision projects. If you are enthusiastic about creating AI-driven products for diagnostics and microscopy, this position offers an exciting opportunity. Your responsibilities will include designing and developing RESTful APIs using Django and Django REST Framework, collaborating with AI/ML engineers to deploy deep learning models into production, supporting image processing pipelines and handling microscopy data, ensuring secure, scalable, and maintainable backend systems, and optimizing the integration of AI models with backend services. To excel in this role, you should possess at least 5-6 years of professional experience in Django backend development, proficiency in Python, Django REST Framework, and databases such as PostgreSQL/MySQL. Hands-on experience with deep learning frameworks like TensorFlow/PyTorch, familiarity with OpenCV, image processing, and model deployment, as well as a good grasp of API design, Docker, and basic DevOps practices are essential. Additionally, experience with frontend integration (React, Angular), exposure to healthcare, diagnostics, or scientific image analysis projects, and familiarity with cloud platforms such as AWS, Azure, or GCP would be advantageous. At Sciverse, you will have the opportunity to be at the forefront of shaping the future of diagnostics with intelligent, AI-powered solutions that cater to real-world medical and scientific requirements. You will be part of a dynamic and impactful team, driving innovation and making a difference.,
As a sharp, detail-obsessed wordsmith with a passion for science, innovation, and intellectual property, you will play a crucial role in bridging the gap between technology and narrative. Your responsibilities will include: - Prepare high-quality technical documents, white papers, and grant proposals. - Conduct patent searches, FTO (Freedom to Operate) analysis, and prior art reviews. - Assist in drafting, filing, and maintaining patents and related IP filings. - Collaborate with R&D, legal, and leadership teams to capture and articulate innovations. - Stay updated on funding opportunities, innovation challenges, and IP regulations. - Work on scientific communication for regulatory dossiers, presentations, and reports. - Organize and maintain a central database of IP assets, grants, and technical files. - Support brainstorming sessions and document technical meetings effectively. We are looking for someone with the following qualifications: - Strong technical writing skills - clear, precise, and engaging. - Background in science, engineering, life sciences, or a related field. - Familiarity with patent systems (Indian/US/EU preferred) and grant mechanisms (BIRAC, DST, DBT, etc., is a plus). - Excellent research and analytical skills. - High attention to detail and ability to work independently. - Proficiency in MS Office and basic knowledge of patent databases (Google Patents, WIPO, etc.). - Bonus: Experience with IP management tools or grant platforms. In addition to the responsibilities and qualifications mentioned above, you will also gain: Deep exposure to cutting-edge tech and IP strategy. Opportunities to work closely with founders, R&D, and legal advisors. Hands-on learning in innovation funding, patenting, and tech commercialization. A front-row seat in a growing deep-tech/MedTech startup ecosystem.,
Job Description: We are looking for a detail-oriented Software QA Engineer to ensure the quality, reliability, and performance of our software products. The role involves manual and automated testing , testing software on devices, API testing , and maintaining accurate documentation. The QA Engineer will also integrate testing processes with DevOps boards and test plans to streamline development and release cycles. Key Responsibilities: Perform manual testing of software applications to identify defects and ensure functionality. Develop and execute automated test scripts to improve testing efficiency and coverage. Conduct on-device testing for software installed on hardware or embedded systems. Perform API testing , including functional, regression, and integration testing. Prepare and maintain detailed test documentation , including test cases, bug reports, and test plans. Track, report, and manage defects using DevOps boards or other issue tracking tools. Collaborate with development teams to reproduce, troubleshoot, and resolve issues. Contribute to continuous improvement of testing processes and methodologies. Required Skills and Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field . Proven experience in manual and automated software testing . Hands-on experience with API testing tools (Postman, SoapUI, etc.). Familiarity with testing on devices or embedded systems . Knowledge of test management and defect tracking tools , preferably integrated with DevOps (Azure DevOps, Jira, etc.). Experience in writing test plans, test cases, and maintaining documentation . Strong analytical, problem-solving, and communication skills . Ability to work independently and collaboratively in a fast-paced development environment . Preferred Skills: Experience with test automation frameworks (Selenium, Appium, Robot Framework, etc.). Familiarity with CI/CD pipelines and DevOps practices . Exposure to performance, security, or load testing . What You’ll Gain: Hands-on experience with manual and automated software testing across devices and APIs. Exposure to DevOps-integrated QA workflows and real-world product development. Opportunity to work in a dynamic, collaborative environment and contribute to high-quality software delivery.
As an intern, you will play a crucial role in bridging the gap between technology and narrative by crafting compelling technical documents, decoding complex patent landscapes, and helping shape funding and IP strategies. Your responsibilities will include: - Preparing high-quality technical documents, white papers, and grant proposals. - Conducting patent searches, FTO analysis, and prior art reviews. - Assisting in drafting, filing, and maintaining patents and related IP filings. - Collaborating with R&D, legal, and leadership teams to capture and articulate innovations. - Staying updated on funding opportunities, innovation challenges, and IP regulations. - Working on scientific communication for regulatory dossiers, presentations, and reports. - Organizing and maintaining a central database of IP assets, grants, and technical files. - Supporting brainstorming sessions and documenting technical meetings effectively. To be successful in this role, we are looking for an individual with the following qualifications: - Strong technical writing skills - clear, precise, and engaging. - Background in science, engineering, life sciences, or a related field. - Familiarity with patent systems (Indian/US/EU preferred) and grant mechanisms (BIRAC, DST, DBT, etc., is a plus). - Excellent research and analytical skills. - High attention to detail and ability to work independently. - Proficiency in MS Office and basic knowledge of patent databases (Google Patents, WIPO, etc.). - Bonus: Experience with IP management tools or grant platforms. In addition to the above responsibilities and qualifications, you will gain deep exposure to cutting-edge tech and IP strategy, opportunities to work closely with founders, R&D, and legal advisors, hands-on learning in innovation funding, patenting, and tech commercialization, and a front-row seat in a growing deep-tech/MedTech startup ecosystem.,
Job Description: We are looking for a detail-oriented Software QA Engineer to ensure the quality, reliability, and performance of our software products. The role involves manual and automated testing , testing software on devices, API testing , and maintaining accurate documentation. The QA Engineer will also integrate testing processes with DevOps boards and test plans to streamline development and release cycles. Key Responsibilities: Perform manual testing of software applications to identify defects and ensure functionality. Develop and execute automated test scripts to improve testing efficiency and coverage. Conduct on-device testing for software installed on hardware or embedded systems. Perform API testing , including functional, regression, and integration testing. Prepare and maintain detailed test documentation , including test cases, bug reports, and test plans. Track, report, and manage defects using DevOps boards or other issue tracking tools. Collaborate with development teams to reproduce, troubleshoot, and resolve issues. Contribute to continuous improvement of testing processes and methodologies. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field . Proven experience in manual and automated software testing . Hands-on experience with API testing tools (Postman, SoapUI, etc.). Familiarity with testing on devices or embedded systems . Knowledge of test management and defect tracking tools , preferably integrated with DevOps (Azure DevOps, Jira, etc.). Experience in writing test plans, test cases, and maintaining documentation . Strong analytical, problem-solving, and communication skills . Ability to work independently and collaboratively in a fast-paced development environment . Preferred Skills: Experience with test automation frameworks (Selenium, Appium, Robot Framework, etc.). Familiarity with CI/CD pipelines and DevOps practices . Exposure to performance, security, or load testing . What You'll Gain: Hands-on experience with manual and automated software testing across devices and APIs. Exposure to DevOps-integrated QA workflows and real-world product development. Opportunity to work in a dynamic, collaborative environment and contribute to high-quality software delivery.
Job Description: We are seeking a motivated Research Associate with strong technical skills in biochemistry and biosensor technologies . The role involves hands-on laboratory work , including working with electrochemical instruments, monitoring biochemical and ionic changes, and supporting assay development. This position is ideal for candidates who are detail-oriented, analytical, and eager to contribute to advanced laboratory projects. Key Responsibilities: Apply a strong understanding of biochemistry principles to design and execute experiments. Operate and maintain laboratory instruments related to biosensor development and electrochemical measurements . Conduct experiments involving impedance spectroscopy, amperometry, and related techniques . Monitor and analyze ionic or molecular changes in biochemical assays, including PCR-related applications. Collect, analyze, and interpret experimental data to support ongoing lab projects. Troubleshoot experimental protocols and optimize assay performance. Maintain accurate and organized laboratory records and reports . Collaborate with the team to improve laboratory processes and workflows. Required Skills and Qualifications: Bachelor's or Master's degree in Biochemistry, Biotechnology, Biomedical Engineering, or related field . Hands-on experience with biosensors and electrochemical measurement techniques. Knowledge of PCR techniques and detection of ionic/molecular changes . Familiarity with laboratory instrumentation, troubleshooting, and maintenance. Strong analytical, problem-solving, and documentation skills . Ability to work independently and collaboratively in a laboratory environment. Attention to detail and commitment to maintaining high-quality experimental standards . Preferred Skills: Experience in assay development or optimization . Exposure to data analysis software and visualization tools . Understanding of molecular diagnostics or sensor integration with biochemical assays . What You'll Gain: Hands-on experience with advanced biosensor techniques and laboratory instruments. Exposure to practical applications of biochemistry in assay and sensor development . Opportunity to contribute to innovative laboratory projects and enhance technical expertise.