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!!
Position: Sr. Data Scientist Location: Bangalore Experience: 4 + yrs Profile of Desired Candidate: 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.s 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.
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
## Responsibilities * Exp 2~5 years * Design and build the initial version of the off-line product by using Machine Learning to recommend video contents to 1M+ User Profiles. * Design personalized recommendation algorithm and optimize the model * Develop the feature of the recommendation system * Analyze user behavior, build up user portrait and tag system ## Desired Skills and Experience * B.S./M.S. degree in computer science, mathematics, statistics or a similar quantitative field with good college background * 3+ years of work experience in relevant field (Data Engineer, R&D engineer, etc) * Experience in Machine Learning and Prediction & Recommendation techniques * Experience with Hadoop/MapReduce/Elastic-Stack/ELK and Big Data querying tools, such as Pig, Hive, and Impala * Proficiency in a major programming language (e.g. C/C++/Scala) and/or a scripting language (Python/R) * Experience with one or more NoSQL databases, such as MongoDB, Cassandra, HBase, Hive, Vertica, Elastic Search * Experience with cloud solutions/AWS, strong knowledge in Linux and Apache * Experience with any map-reduce SPARK/EMR * Experience in building reports and/or data visualization * Strong communication skills and ability to discuss the product with PMs and business owners
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
To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.
Fly NavaTechnologies is a start-up organization whose vision is to create the finest airline software for distinct competitive advantages in revenue generation and cost management. The software products have been designed and created by veterans of the airline and airline IT industry, to meet the needs of this special customer segment. The software will be constructive by innovative approach to age old practices of pricing, hedging, aircraft induction and will be path breaking to use, encouraging the users to rely and depend on its capabilities. Wewill leverage our competitive edge by incorporating new technology, big data models, operations research and predictive analytics into software products, a means of creating interest and creativity while using the software. This interest and creativity will increase potential revenues or reduce costs considerably, thereby creating a distinct competitive differentiation. FlyNava is convinced that when airline users create that differentiation easily, their alignment to the products will be self-motivated rather than mandated. High level of competitive advantage will also flow with the following All the products, solutions and services will be Copyright. FlyNava will benefit with high IPR value including its base thesis/research as the sole owners. Existing product companies are investing in other core areas which our business areas are predominantly manual process Solutions are based on master thesis which need 2-3 years to complete and more time to make them relevant for software development. Expertise in these areas are far and few. Responsible for Collecting, Cataloguing, Filtering of data and Benchmarking solutions - Contribute to model related Data Analytics and Reporting. - Contribute to Secured Software Release activities. Education & Experience : - B.E/B.Tech or M.Tech/MCA in Computer Science/ Information Science / Electronics & Communication - 3 - 6 Years of experience Must Have : - Strong in Data Analytics via Pyomo (for optimization) Scikit-learn (for small data ML algorithms) MLlib (Apache Spark big-data ML algorithms) - Strong in representing metrics and reports via json - Strong in scripting with Python - Familiar with Machine learning, pattern recognition Algorithms - Familiar with Software Development Life Cycle - Effective interpersonal skills Good to have : Social analytics Big data