We are a team of experienced technology & business professionals who have interest in making machines interpret images as well as humans do, in real time. With close to 2 years in operation, we have invented 5 patent pending technologies and have customers from various parts of the world. We have a range of products that are developed in-house. Krooze, an ADAS solution designed specifically with Indian road conditions in mind. Kolor, an annotation tool which is semi-automatic and hence reduces the manual effort required to annotate an image. Kount, a traffic management solution. Skills & Requirements: - A strong foundation in Python, with expertise in commonly used libraries like Numpy, Scipy etc. - We require computer vision and/or machine learning experts who have experience in working with tools like OpenCV, Tensorflow and other ML based libraries. - Experience in hardware projects is also a added benefit. - A hunger to learn will be the most important requirement for the job. You will also have an opportunity to learn about computer vision, machine learning & pattern recognition techniques and the latest tools in this space. You will truly create something memorable during your time with us.
APPLY LINK: https://bit.ly/2yk9WLt Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Data Science Engineer Team: Sciences Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: INR 10-40 LPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a <real startup with meaningful product>. For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for engineers with real passion for data science engineering (http://busigence.com/blog/data-science-engineer-who-what-and-why). You would be required to work with our science & engineering team on several big data and data science applications. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 250 different techniques (we averaged out this figure with our employees who have been working for past two years on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions - at essential level Preferred R5. Good to have ability 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. You should be accountable for code written by you. No hit & trial. R6. Good to have required callibre to learn PySpark within two weeks once joined us 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 - 3 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 vinaigrette 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/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.
Position Summary We are creating a platform to aid in algorithmic trading. The platform will help users validate their strategies over past data, and also take it live for trading after connecting to required exchanges/brokers. We’re looking for a rockstar developer who can work on the core engine, help us tweak popular open source finance libraries built in Python, build up a system that can work with terabytes of data and can lead the project and team. Company Information iRage is a group of technology-driven, agile and fast-paced businesses spanning across algorithmic and quantitative trading domain. The group consists of companies, which are leading players across various domains including real-time algorithmic and high-frequency trading in markets, education, investment management and FinTech that empowers next-gen traders. Our team culture is young, vibrant and open. At iRage, you will come across exceptionally smart people and amazing teams who delve deeper in capitalizing technology along with state of the art network infrastructure. Core Role and Responsibilities - Design core product architecture, algorithms and data structure and implement the same to achieve demanding speed, efficiency and scalability goals. - Interface with other front-end and back-end development teams and data vendors for seamless integration. - Adhering to project quality and delivery milestones - Continued maintenance and product innovation Required Skillset - Core Python developer: should be able to understand code from the open source projects - Experience with WebSockets, Message queues, Interprocess communication strategies is a must - Extremely hands on, and can take lead role in a large development project, plus should be able to work on latest Python features (like async or event driven) - Knowledge of databases and also big data solutions - Should be comfortable to support in-house application for multiple python versions Desired Skillset - Exposure to financial markets and some related libraries ex: TA-lib, backtrader, zipline etc - Experience with libraries for Data Science like: Pandas, numpy, SciPy, Matplotlib, SciKit-Learn - Familiarity with cloud services like AWS and exposure to micro-service architecture - Professional commitment to high quality, and a passion for learning new skills. - Detail-oriented individual with the ability to rapidly learn new concepts and technologies. - Strong problem-solving skills, including providing simple solutions to complex situations. - Must be a strong team player with the ability to communicate and collaborate effectively
About ThreatLandscape ThreatLandscape is building the next-gen threat intelligence, attack surface minimalization, and remediation platform for cyber security teams at enterprises and governments. With a mission to create a global brand, ThreatLandscape’s currently looking for passionate, like-minded folks in the areas of Data Engineering, Scientific Computing, and Machine Learning to join us as we move to change our industry’s landscape and become the go-to name for all intelligent cyber security solutions. What they will do • Will work with our Data Science team in evolving our threat intelligence platform • Build scalable data computing workflows • Exploit the latest in Deep Learning and Natural Language Processing technologies Who we need • Bachelor’s degree in Computer Science or related discipline • Over three years' experience programming in Python with a solid understanding of Python internals • Two years' experience with Python’s scientific computing and data analysis packages like Numpy, Scipy and Pandas • Over a year's experience building analytics platforms using Python • Experience in modeling real-world problems with machine learning for time series data • Experience with relational databases • Experience with Big Data architecture and frameworks like Hadoop, Spark or equivalent • Familiarity with Deep Learning frameworks like Tensorflow and Keras is a plus • Exposure to open source and cloud-specific data pipeline tools such as Airflow, Glue and Apache Beam
Financial Machines is cheaper, faster, and robust financial modeling, workflow optimization for capital markets, scenario analysis at the speed of now, and enhanced data-driven decision tools.