This role is a fantastic opportunity for you if you're looking to build a high-impact and super-innovative product that brings a completely new value to the agricultural ecosystem. The Agricx product will require you to put your R&D skills in fields of Computer Vision, Machine Learning, and Deep Learning to test and deliver a high-quality product that can revolutionize how processing industry performs QC and business happens in the entire agricultural landscape today. PhD / M.Tech. with 5+ Yrs experience in a related field would be strongly preferred. As a Senior AI Scientist you will be responsible for: 1. Performing R&D for advancing the Agricx product 2. Leading the AI team & deliver set milestones 3. Working closely with the Founders and the Product Head to translate the business requirements into technical execution 4. Creatively solving technical challenges in a new field with limited research resources currently available 5. Doing a lot of hands-on programming Important skills to have: 1. Programming: 5 years min. experience in Python, C, C++ 2. Very strong background in Statistics, Computer Vision, Machine Learning & Deep Learning. 3. Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques; 4. Experience with applying deep learning for object recognition, classification & 3D reconstruction 5. Experience with cloud computing & GPUs 6. Experience with major deep learning frameworks such as Caffe, Tensorflow 7. Experience with libraries like OpenCV & DLib
APPLY LINK: http://bit.ly/2F83vxU Researcher - Deep Learning & AI Team: Research Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: Above standards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. Real ROLE We are looking for researchers with real passion for deep learning. You would be required to work with our research team on several deep learning applications. Mandatory R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation R2. Must be able to apply state-of-art deep learning models to our existing research and develop entirely new methods, which are advanced & modern R3. Must have designed multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries R4. Must have designed proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data R5. Must have designed CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM R6. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN R7. Must have worked on classification, clustering, computer vision, speech recognition, text summarization, time-series analysis R8. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities) R9. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain) and atleast basic working knowledge on TensorFlow. R/ SAS/ SPSS etc are not acceptable. Preferred R10. Good to have knowledge and practical experience in application of Supervised Learning algorithms, Bayesian methods, Gaussian processes, Combinatorial optimization, Meta Learning, Transfer Learning, Convex optimization, Sparse methods, Kernel methods, Stochastic process, Statistical learning theory, and Approximate inference R11. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures R12. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training R13. Good to have worked on Keras on top of TensorFlow R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks R15. Great problem solver with extremely high curiosity on data processing & patterns Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors/Masters/Ph.D level or above from a top tier institute Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a research lab or a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with findings & innovations, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: <Do your Greatest work of life> You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to firstname.lastname@example.org For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/research Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.
APPLY LINK: http://bit.ly/2GWlc3U Developer - TensorFlow Team: Sciences Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: Above standards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. Real ROLE We are looking for developers with real passion for neural networks. You would be required to work with our sciences team on several deep learning applications. Mandatory R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation R2. Must have implement multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries R3. Must have implemented proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data R4. Must have soiled hands coding CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM, in core TensorFlow 1.3 R5. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN R6. Must be able to recognize code that is more parallel, and less memory constrained, and you must show how to apply best practices to avoid runtime issues and performance bottlenecks R7. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities) R8. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain). R/ SAS/ SPSS etc are not acceptable. Preferred R9. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures R10. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training R11. Good to have worked on Keras on top of TensorFlow R12. Good to have distributed TensorFlow over multiple clusters R13. Good to have integrated TensorFlow with Apache Spark R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks R15. Great problem solver with extremely high curiosity on data processing & patterns Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with codes & workarounds, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: <Do your Greatest work of life> You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to email@example.com For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/data-science Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.
IN NUTSHELL: Happay is redefining how SME’s control their expenses. We develop products and solutions that render better control, visibility and simplicity in managing all non salary corporate expenses. We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. DATA ANALYST JOB DUTIES Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. RESPONSIBILITIES • Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Acquire data from primary or secondary data sources and maintain databases/data systems • Identify, analyze, and interpret trends or patterns in complex data sets • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems • Work with management to prioritize business and information needs • Locate and define new process improvement opportunities REQUIREMENTS • Proven working experience as a data analyst or business data analyst • Technical expertise regarding data models, database design development, and segmentation techniques • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (MySql & PostgreSql), programming (R Programming, Python) • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Adept at queries, report writing and presenting findings MUST HAVE QUALITIES: 1. Combines creativity, problem-solving skills, and a can-do attitude to overcome any obstacle 2. Rigorous - asks hard questions, validates assumptions, connects the dots 3. Willing to work for a start-up and go extra mile 4. Willing to work independently with little or no supervision
Location: Bangalore Educational Qualification: BE/B.Tech/M.Tech/MS/PhD or any academic qualification in a quantitative field preferred. Experience: 4+ years, flexible for the right candidate Job Responsibilities: Part of the Research team working continuously to improve ShieldSquare’s bot-human classification engine. Analyze billions of web page visits per month amounting to many terabytes of data and apply state-of-the-art Data Science and ML techniques to derive new patterns. As an area expert in ML, guide and mentor junior team members. Requirements: Excellent quantitative skills and experience in statistics and machine learning Interest in learning and applying the learnings to achieve the objectives. Interest in experimentation and data-driven improvisation Experience in leading/mentoring data scientists/ML engineers/scientists Hands-on knowledge of deep learning Any of the following qualifications are preferred: Knowledge of SQL/Visualization tools/Python: Pandas, Scipy suite Knowledge of Deep learning tools: Tensorflow/Keras/PyTorch/Caffe/Theano/Mxnet etc. Completion of online courses in Data Science/ML domain Participation in Data Science/ML competitions Contribution in open source projects Experience in solving real-world Data Science problems Experience in A/B testing, multi-armed bandits, controlled experiments, reinforcement learning What’s in it for you? Experience in working on billions of newly generated data points per month (many terabytes of data) using cutting-edge Data Science tools. Experience in R&D of real-time bot-human classification engine handling 1000s of request per second Work and learn as part of the cross-functional R&D team (some with PhD) building the industry leading bot-human classification engine Play a high impact role in a setting where data-driven improvements are pushed to production code on a daily basis
data science for analytics Working on various Predictive Analytics, Forecasting, Machine Learning, Text & Image Mining , Statistical Modeling, Social Network Analysis, Advanced Visualizations, Natural Language Processing and Big Data problems. The problems are in multiple domains like banking, financial, insurance, consumer and Internet companies, medical etc.
Looking for senior data science researchers. Basic Qualifications: ∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas). ∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems. ∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc). ∙Strong working knowledge of deep learning, machine learning, and statistics. - Deep domain understanding of Personalization, Search and Visual. ∙Strong math skills with statistical modelling / machine learning. ∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow. ∙Experience in using Python, statistical/machine learning libs. ∙Ability to think creatively and solve problems. ∙Data presentation skills. Preferred: ∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities. ∙Or, Publications in highly accredited journals (If available, please share links to your published work.). ∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
Role: DataScientist Location: Bangalore Job description: What will you do ?? • Develop, process, cleanse and enhance data collection procedures from multiple data sources • Conduct & deliver experiments and proof of concepts to validate business ideas and potential value. • Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy. • Work closely with product teams to implement algorithms with R and/or Python. • Design and implement scalable predictive models, classifiers leveraging machine learning, data regression. • Facilitate integration with enterprise applications using APIs to enrich implementations. Ideal Characteristics? • 10+ years of experience in designing/developing industrial IT solutions • Minimum 3 years of experience in developing and deploying machine learning, deep learning, NLP solutions. • Experience with common data science toolkits, such as R, NumPy - Excellence in at least one of these is mandatory. • Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase • Should have good awareness on entire machine learning/ predictive modeling & implementation process: Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. • Experience in selecting features, building and optimizing classifiers using machine learning techniques. • Prior experience with data visualization tools, such as D3.js, GGplot, etc. • Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc. • Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Candidate Philosophy: • Proven Ability to learn and work on latest technology, have good analytical skills and pickup faster. • Should have excellent communication, interpersonal skills and be a team player. • Should have Strong Leadership skills to drive the technical aspects of the project. • Able to act as the technical change agent in the project, mentoring the lesser experienced • Experience in building strong relationship with the Onsite Counterparts
• Hands-on experience as a Data Scientist • Through understanding of Machine Learning and Statistical models • Experience in R and Python • Experience in one or more areas of predictive modelling, text mining, time series analysis and unsupervised learning methods • Innovative thinking in building complex learning models • Identify and extract interesting pattern from structured and unstructured data. • Experience in building state of the art solutions with structured, semi structured and unstructured data. • Collaborate with a cross-functional team including data scientists, business analysts and software engineers. • Experience with machine learning frameworks e.g., Theano, KERAS,Tensorflow • Additional programming skills like Java and Scala would be a plus.
Should be experienced in building Machine learning pipelines. Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework
Mate Labs is looking for a kick ass and enthusiastic Machine Learning Engineer who has a really good understanding of machine learning and deep learning. We love GitHub and open source projects. Skills Required: * Machine Learning Algorithms(Regression(MUST), Classification, Clustering) * Frameworks - Scikit-learn, Keras, Tensorflow, Pandas, Numpy, Caffe(Optional), PyTorch(Optional) * ARIMA(Time-series forecasting)(Optional) * LSTM - Single and Multi-variate time-series forecasting(Optional). We need candidates who atleast have 2 years of experience as a Data Scientist/Data Analyst, preferably in a BFSI sector. Mate Labs has built Mateverse for Data Analysts so that they can build customised machine learning and data science models for quick prediction like sales forecasting without writing even a single line of code. At Mate Labs we are solving a unique problem of algorithm & Hyperparameter selection in the field of Artificial Intelligence.
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!!
Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.
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.
• Identifying and modeling the key drivers of consumer behavior using internal and external data. • Developing prediction models to deliver key business outcomes. • Problems include working on demand forecasting, demand driven supply planning etc. • Developing optimized transportation network design for Shuttl operations to drive strategic growth • Developing algorithms to predict static and dynamic schedule of Shuttl arrival times. • Presenting clear and actionable recommendations to Products and Engineering leadership. • Relentless pursuit of achieving business goals using the power of data
1. Product: - Identify important questions with the product team and answer them with data - Create a culture of measurement and metrics across the company by developing key success metrics for the product - Work with company leaders to understand product roadmap and influence/improve it using quantitative research - Be our source of bitter truth against all product assumptions 2. Sales: - Work with sales team to automate internal dashboards which help company leaders make strategic decisions - Develop reports/research based on our data that help reduce sales time - Work with our product team to build and maintain integrations with other business systems
## Responsibilities * Exp 4~8 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
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.
Factspan is a pure play analytics company. We provide the expertise services that organizations need to establish their own analytics centre of excellence. We understand the complexities of running a business. Our dedicated team of data scientists and consultants partner with the clients to provide analytics tools and solutions which organizations need every day to take data driven decisions. Our management leaders are former Directors and Sr. Managers from premier organizations like University of Michigan, Fidelity, Amazon and Hotwire. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors. For more details and updates please refer to: www.factspan.com
Job Role Develop and refine algorithms for machine learning from large datasets. Write offline as well as efficient runtime programs for meaning extraction and real-time response systems. Develop and improve Ad-Targeting based on various criteria like demographics, location, user-interests and many more. Design and develop techniques for handling real-time budget and campaign updates. Be open to learning new technologies. Collaborate with team members in building products Skills Required MS/PhD in Computer Science or other highly quantitative field Minimum 8 - 10 yrs of hands on experience in different machine-learning techniques Strong expertise in Big-data processing (Combination of the technologies you should be familiar with Kafka, Storm, Logstash, ElasticSearch, Hadoop, Spark) Strong coding skills in at-least one object-oriented programming language (e.g. Java, Python) Strong problem solving and analytical ability Prior 3+ year experience in advertising technology is preferred
Transporter is an AI-enabled location stack that helps companies improve their commerce, engagement or operations through their mobile apps for the next generation of online commerce
JSM is a data sciences company, founded in 2009 with the purpose of helping clients make data driven decisions. JSM specifically focuses on unstructured data. It is estimated that 90% of all data generated is unstructured and still mostly under-utilized for actionable insights largely due to high costs involved in speedily mining these large volumes of data. JSM is committed to creating cost effective innovative solutions in pursuit of highly actionable, easy to consume insights with a clearly defined ROI
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
We are a startup looking to redefine how education is perceived and as such believe in a strong independent motivation to learn new things and we look for the same in our employees. The job of the senior developer will bleed in to all aspects of the product cycle not limited to his/her area of expertise and will be expected to have the ability to adapt and learn rapidly on very short iterations of product cycles. Since we are in the early stages we will offer exciting ESOPs to our early employees as well. Cover letters are so old fashioned. Show us who you are with a cover-letter-video. Upload your video to youtube or vimeo. We look forward to meeting you.