Predible is looking for passionate deep learning practitioners who will develop cutting-edge algorithms that will improve the quality of healthcare delivered in India and globally. Your job profile will consist of one or more of below responsibilities: 1. Development of AI algorithms for detection of various conditions from 3D imaging data such as CT and MR 2. R&D to tackle edge conditions and obtain reliable, robust performance using a combination of deep learning, computer vision or any science 3. Clinical validation of the algorithm in a real-world setting and iterations 4. Managing the data extraction and labeling process in coordination with our data curation team and radiology advisors 5. Package AI models into usable products that fit the clinical workflow of radiologists, specialist, and patients in hospitals We are a VC-backed fast-growing company started by IIT Madras graduates in 2015. We have published extensively in medical/ healthcare and biomedical journals on our research work since 2014. Our products are currently being used by over 15 sites in India processing over 2000 scans/month, partnering with multiple large hospital institutions across Delhi, Mumbai, and Bangalore.
Job Description We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Skills and Qualifications Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable Great communication skills Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality
Job Description: Roles & Responsibilities: · You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production. · You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients. · You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs. Desired Skill Set: · Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries. · Hands-on skills and industry experience in one or more of the following areas is necessary: 1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs) 2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods) 3) Natural Language Processing 4) Graph Databases (Neo4j, Apache Giraph) 5) Azure Bot Service 6) Azure ML Studio / Azure Cognitive Services 7) Log Analytics with NLP/ML/DL · Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus. · Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer. · Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.
At HyperWorks Imaging, we are removing crucial business bottlenecks in R&D, Manufacturing, Energy etc via Machine Learning (ML). Our team uses the latest advances in deep learning and multi-modal machine learning techniques to solve these diverse problems. Some example implementations are in workflow optimization for next gen battery chemistry and creating IoT based data analytics for industrial customers. We expect our team members to be hands-on contributors who are proactive in going after big challenges but are also good at trade offs involving quick fixes and deep dives. Her/His responsibilities include: 1. Understand existing ML frameworks and test various optimizations scenarios. 2. Propose and implement novel ML architectures to solve problems at hand. 3. Build and implement advanced statistical analysis and data mining algorithms. Skills required: Data Science, Machine Learning, Python, Image Processing, C++ Other requirements: ➢ Masters or PhD in Computer Science, EE or related fields ➢ 3+ years experience in computer vision, machine learning, image analytics projects ➢ Demonstrated experience with writing/training/deploying CNNs (work with GANs is a plus) ➢ Experience with git, cloud computing (AWS, GCP, Azure) etc