Job Roles & Responsibilities Designing and developing machine learning and deep learning systems Running machine learning tests and experiments Implementing appropriate ML algorithms Study and transform data science prototypes Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Skills Required : Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Qualification : BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
Lead Data Scientist Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & fastest-growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. How we work? It’s all about being Happier first. And the rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Lead Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : Collaborate with team members to develop new models to be used for classification problems Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks Use independent judgment to take existing data and build new models from it Collaborate and provide technical guidance Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences Improving existing models and creating self-learning systems. Stakeholder management and leadership Decision making and problem-solving Accomplishment Set : Extensive experience with Hadoop and Machine learning algorithms Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence) Passion for solving NLP problems Experience with specialized tools and project for working with natural language processing Programming experience in Python Knowledge of machine learning frameworks like Tensorflow, Pytorch Experience with software version control systems like Github Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills Education and Experience : B. E. / B. Tech / Masters in Computer Science Strong in academics and good aptitude Excellent communication skills with a flair to learn quickly 4-8 years of relevant experience Research and implement novel machine learning and statistical approaches Prior exposure to product development would be an added advantage
The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes. Requirements: 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks). CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc). Image Processing techniques using OpenCV or other white-box image feature extraction algorithms. End to end deployment of deep learning models.
Job Description: • Experience applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images to extract relevant text information. • Familiarity with deep learning frameworks such as TensorFlow, Keras, and torch. • Knowledge of tesseract working and fine-tuning. • Document and text extraction. • Image segmentation, object detection, and recognition. • Python Programming is a must, c/c++ is an advantage. • Strong fundamentals in mathematics, especially in linear algebra and computational geometry. • Strong in Image and computer vision-related libraries such as OpenCV, PIL, Dlib, matplotlib, Tensorflow, Pytorch etc. • Developing state of the art models and algorithms. • Hands on experience in CNN and LSTM based models. • Engineering ability to build robustly scalable pipelines. Experience in high performance production (inference pipelines) using tensorRT.• A solid foundation in Python, data structures, algorithms and general software development skills.
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis. You will be responsible for: Developing computer vision algorithms to detect key moments within popular online games Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games Specifying exact requirements for training data sets, and working with analysts to create the data sets Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You should have the following qualities: Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis Experience using Python, TensorFlow, OpenCV and other computer vision tools Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc. Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others Familiarity with AWS environments Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets. Salary: Will be commensurate with experience.