4 Transfer Learning Jobs

We are seeking a skilled AI/ML Engineer to develop and integrate advanced deep learning solutions into our medical imaging platform. You will work on high-impact use cases such as analyzing MRI scans to assist in Alzheimer's prediction and diagnosis, ensuring your models meet clinical accuracy and performance standards. Key Responsibilities: Develop and fine-tune deep learning models (CNNs, ANNs, Transformers) for medical image classification, segmentation, and anomaly detection. Handle medical imaging data formats (e.g., DICOM, NIfTI) for preprocessing and feature extraction. Integrate trained AI models into existing medical imaging platforms using industry-standard deployment pipelines. Collaborate with radiologists, data scientists, and software engineers to validate model performance and usability. Implement model monitoring and update strategies post-deployment to ensure reliability and compliance. Document methodologies, model architecture decisions, and deployment workflows. Required Skills & Qualifications: 4+ years of experience in AI/ML , with at least 2 years focused on medical or biomedical image processing . Strong hands-on experience with deep learning frameworks : TensorFlow , PyTorch , Keras . Proficient in Python , with good working knowledge of SQL for data management. Experience working with medical imaging libraries and toolkits such as MONAI , OpenCV , SimpleITK , and scikit-image . Familiarity with cloud-based AI deployment tools and services on AWS , GCP , or Azure . Solid understanding of image annotation , model evaluation metrics (e.g., Dice coefficient, ROC-AUC) , and regulatory implications in healthcare AI. Preferred Skills (Nice to Have): Experience with federated learning, explainable AI (XAI), or multimodal learning in healthcare. Exposure to containerization (Docker) and MLOps practices for scalable AI deployments. Familiarity with PACS systems , FHIR , or integration with HL7 standards . Knowledge of FDA/CE regulatory requirements for AI in medical devices.

We are seeking a skilled AI/ML Engineer to develop and integrate advanced deep learning solutions into our medical imaging platform. You will work on high-impact use cases such as analyzing MRI scans to assist in Alzheimer's prediction and diagnosis, ensuring your models meet clinical accuracy and performance standards. Key Responsibilities: Develop and fine-tune deep learning models (CNNs, ANNs, Transformers) for medical image classification, segmentation, and anomaly detection. Handle medical imaging data formats (e.g., DICOM, NIfTI) for preprocessing and feature extraction. Integrate trained AI models into existing medical imaging platforms using industry-standard deployment pipelines. Collaborate with radiologists, data scientists, and software engineers to validate model performance and usability. Implement model monitoring and update strategies post-deployment to ensure reliability and compliance. Document methodologies, model architecture decisions, and deployment workflows. Required Skills & Qualifications: 4+ years of experience in AI/ML , with at least 2 years focused on medical or biomedical image processing . Strong hands-on experience with deep learning frameworks : TensorFlow , PyTorch , Keras . Proficient in Python , with good working knowledge of SQL for data management. Experience working with medical imaging libraries and toolkits such as MONAI , OpenCV , SimpleITK , and scikit-image . Familiarity with cloud-based AI deployment tools and services on AWS , GCP , or Azure . Solid understanding of image annotation , model evaluation metrics (e.g., Dice coefficient, ROC-AUC) , and regulatory implications in healthcare AI. Preferred Skills (Nice to Have): Experience with federated learning, explainable AI (XAI), or multimodal learning in healthcare. Exposure to containerization (Docker) and MLOps practices for scalable AI deployments. Familiarity with PACS systems , FHIR , or integration with HL7 standards . Knowledge of FDA/CE regulatory requirements for AI in medical devices.

AI/ML Engineer for Medical Image processing Job description We are looking for an AI/ML Engineer to join our team and help integrate AI-driven image analysis into an existing medical imaging platform. This role involves developing or integrating AI models to analyze medical images (e.g., MRI brain scans for Alzheimers prediction). Key Responsibilities: Develop and optimize deep learning models (CNNs, Transfer Learning, TensorFlow, PyTorch) for medical image analysis. Work with medical imaging datasets (DICOM, NIfTI, etc.) to extract meaningful insights. Integrate AI models into the imaging platform and ensure seamless deployment. Required Skills: Strong expertise in Deep Learning (CNN, ANN, Transformers, TensorFlow, PyTorch, Keras). Experience with image processing libraries (OpenCV, MONAI, scikit-image). Proficiency in Python, SQL, and cloud-based AI deployment (AWS/GCP/Azure). Experience: 4 years in AI/ML with a focus on image analysis Industry: Healthcare AI / Medical Imaging If you are passionate about AI for medical imaging and want to work on cutting-edge healthcare AI solutions, wed love to hear from you! Apply now or DM me for more details! Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

What would you do? System Design: Architect and design end-to-end speech processing pipelines, from data acquisition to model deployment. Ensure systems are scalable, efficient, and maintainable. Advanced Modeling: Develop and implement advanced machine learning models for speech recognition, speaker diarization, and related tasks. Utilize state-of-the-art techniques such as deep learning, transfer learning, and ensemble methods. Research and Development: Conduct research to explore new methodologies and tools in the field of speech processing. Publish findings and present at industry conferences. Performance Optimization: Continuously monitor and optimize system performance, focusing on accuracy, latency, and resource utilization. Collaboration: Work closely with product management, data science, and software engineering teams to define project requirements and deliver innovative solutions. Customer Interaction: Engage with customers to understand their needs and provide tailored speech solutions. Assist in troubleshooting and optimizing deployed systems. Documentation and Standards: Establish and enforce best practices for code quality, documentation, and model management within the team. Required Skills 2+ years of experience in speech processing, machine learning, and model deployment. Demonstrated expertise in leading projects and teams. Technical skills: • Excellent knowledge in Python / Java programming. • In-depth knowledge of speech processing frameworks like, Wave2vec, Kaldi, HTK, DeepSpeech and Whisper. • Experience with NLP, STT, Speech to Speech LLMs and frameworks like Nvidia NEMO, PyAnnote. • Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or Keras. • Experience with large-scale ASR systems, speaker recognition, and diarization algorithms. • Strong understanding of neural networks, sequence-to-sequence models, transformers and attention mechanisms. • Familiarity with NLP techniques and their integration with speech systems. • Expertise in deploying models on cloud platforms and optimizing for real-time applications. Good to have: • Experience with low-latency streaming ASR systems. • Knowledge of speech synthesis, STT (Speech-to-Text) and TTS (Text-to-Speech) systems. • Experience in multilingual and low-resource speech processing.