Job Description : If you are visionary and a statistical mastermind and are keen to make a difference in a unique way, then we are looking for you…. We are looking for highly passionate and enthusiastic players for solving problems in medical data analysis using a combination of image processing, machine learning and deep learning. As a Senior Computer Scientist at SigTuple you will have the onus of creating and leveraging the state-of-the-art algorithms in machine learning, image processing and AI which will impact billions of people across the world by creating healthcare solutions that are accurate and affordable. You will collaborate with our current team of super awesome geeks in cracking super complex problems in a simple way by creating experiments, algorithms and prototypes that not only yield high-accuracy but are also designed and engineered to scale. We believe in innovation - needless to say that you will be part of creating intellectual properties like patents and contributing to the research communities by publishing papers - it is something that we value the most What we are looking for: Hands on experience along with a strong understanding of foundational algorithms in either machine learning, computer vision or deep learning. Prior experience of applying these techniques on images and videos would be good-to-have. Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining algorithms. Programming experience in C, C++, Python What should you have: 3 - 5 years of relevant experience in solving problems using machine learning or computer vision Bachelor degree or Master degree or PhD in computer science or related fields. Be an innovative and creative thinker, somebody who is not afraid to try something new and inspire others to do so. Thrive in a fast-paced and fun environment. Work with a bunch of data scientist geeks and disruptors striving for a big cause. What SigTuple can offer: You will be working with an incredible team of smart & supportive people, driven by a common force to change things for the better. With an opportunity to deliver high-calibre mobile and desktop solutions integrated with hardware that will transform healthcare ground up, there will ultimately be different challenges for you to face. Sufficient to say that if you thrive in these environments, the buzz alone will keep you energized. In short you will snag a place at the table of one of the most vibrant start-ups in the industry!!
Sigmoid is a fast growing Product Based BIG DATA startup. Sequoia Funded & Backed by experienced Professionals & Advisors. Sigmoid is revolutionizing business intelligence and analytics by providing unified tools for historical and real time analysis on Apache Spark. With their suite of products, Sigmoid is democratizing streaming use-cases like RTB Data Analytics, Log Analytics, Fraud Detection, Sensor Data Analytics etc. Sigmoid can enable the customers’ engineering team to set up their infrastructure on Spark and ramp up their development timelines, or enable the analytics team to derive insights from their data. Sigmoid has created a real time exploratory analytics tool using on Apache SPARK which not only vastly improves performance but also reduces the cost. A user can quickly analyse huge volumes of data, filter through multiple dimensions, compare results across time periods and carry out root cause analysis in a matter of seconds. Leading organisations across industry verticals are currently using Sigmoid’s platform in production to create success stories. Education Qualification: -BTech Graduates from Top Tier Colleges (IITs,NITs,IIITs,BITs, etc) with good CGPAs. -Strong experience working on Algorithms, R, Excel, SQL & Python. -Significant experience building and interpreting Machine Learning models on real business data, e.g. logistic regression, naïve Bayes, Random Forests, Boosted trees. -Strong understanding of and experience applying statistical techniques, e.g. regularization, hypothesis testing, analytical and empirical confidence intervals, bootstrap sampling. -Experience designing and conducting controlled experiments, performing statistical analysis of collected data, and presenting results to other stakeholders. -Experience on Deep Learning & Neural Networks is highly preferred. Production Level ML experience is preferred. Core Skills: -Excellent analytical and problem-solving skills, including the ability to identify root causes and recommend solutions. -Identifies data sources, integrates multiple sources or types of data, and applies expertise within a data source in order to develop methods to compensate for limitations and extend the applicability of the data. -Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis. -Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors. -Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations. -Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature, and applies his or her own analysis of scalability and applicability to the formulated problem. -Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results. Salary is not a constraint for the right talent.
The role is for a large insurance engagement , the Individual would work with the client to identify , comprehend and solve using Statistical approaches using R studio. The role involves data analytics , Statistical Modelling . Tools involve R & SQL
Do apply if any of this sounds familiar! o You have expertise in NLP, Machine Learning, Information Retrieval and Data Mining. o Experience building systems based on machine learning and/or deep learning methods. o You have expertise in Graphical Models like HMM, CRF etc. o Familiar with learning to rank, matrix factorization, recommendation system. o You are familiar with the latest data science trends, tools and packages. o You have strong technical and programming skills. You are familiar with relevant technologies and languages (e.g. Python, Java, Scala etc.) o You have knowledge of Lucene based search-engines like ElasticSearch, Solr, etc and NoSQL DBs like Neo4j and MongoDB. o You are really smart and you have some way of proving it (e.g. you hold a MS/M.Tech or PhD in Computer Science, Machine Learning, Mathematics, Statistics or related field). o There is at least one project on your resume that you are extremely proud to present. o You have at least 4 years’ experience driving projects, tackling roadblocks and navigating solutions/projects through to completion o Execution - ability to manage own time and work effectively with others on projects o Communication - excellent verbal and written communication skills, ability to communicate technical topics to non-technical individuals Good to have: o Experience in a data-driven environment: Leveraging analytics and large amounts of (streaming) data to drive significant business impact. o Knowledge of MapReduce, Hadoop, Spark, etc. o Experience in creating compelling data visualizations