Senior Software Engineer / Full Stack Python Engineer Oloid Inc is a US based VC funded start up that is building an AI powered single sign on system for the physical world. You will be joining an industry leading organization and exceptional team previously from IBM, Stanford, Ola, INSEAD, Aruba etc. who believe in tackling hard, meaningful problems to improve the world. About you 5+ years of experience in research development with Python Expertise in Computer Vision field with 3+ years of hands-on experience involving real-world data Expertise in Image Processing Solid understanding of computer science algorithms, data structures, and numerical optimization methods Solid understanding of computer vision systems; experience with OpenCV, scikit-learn and build systems Skilled with data analysis libraries e.g. Python + pandas + scipy + numpy + matplotlib or similar Proven problem solving and analytical skills Experience with Linux, AWS, shell scripting, and configuration management systems Experience with Tensorflow, Opengl
About UpGrad : About us: UpGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. UpGrad currently offers programs in Data Analytics, Product Management, Digital Marketing, and Entrepreneurship, and was rated as one of the top 10 most innovative companies in India for 2017 - https://www.fastcompany.com/most-innovative-companies/2017/sectors/india . We plan to launch 6 more programs in technology and management education. UpGrad is co-founded by 3 IITD alumni, and the 4th co-founder is serial entrepreneur Ronnie Screwvala. UpGrad has a committed capital of 100Cr and in the first year of operations, has built the largest revenue generating online program in India (PG Diploma in Data Analytics) and the largest enrolment online program in India (Startup India learning program). UpGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. Position : Senior Data Scientist Position Type : Full Time Location : Mumbai Job Description: Are you excited by the challenge and the opportunity of applying data-science and data-analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education? If this is you, come join us and become a part of the UpGrad technology team. At UpGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to our marketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired career outcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand. We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment. Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Basic Qualifications: 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Preferred Qualifications: Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science techniques
Seeking a data expert in CogniCor Want to play around with data to come up with new methods to enhance our virtual agent ? Want to build a system as intelligent as you are? Want to be part of a team that’s working on creating the next level of AI? Want to be part of a company that holds 6 patents? Are you a person who enjoys analysing data and gets excited when you get interesting data relations. Join our Team. Job Responsibilities Develop new analytical methods and/or tools as required. Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. Use analytics to drive key success metrics related to yield management and revenue generation. Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities Monitoring performance and advising any necessary infrastructure changes Defining data retention policies Data Visualization & Communication and Reporting Skills and Qualifications Unique blend of analytical, mathematical and technical skills. Must have good scripting and programming skills in Python, Java etc. Bachelor or Master’s Degree in applied statistics, data mining or relevant field. Experience with common data science toolkits, such as R, NumPy, etc Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using Database query languages with NoSQL databases, such as MongoDB etc. Exposure to machine learning techniques 1-3 years of Experience in relevant field About CogniCor We are much sought after for our award winning AI Technology. We’ve been built on innovation, and we’ve implemented top-of-the-class Virtual Agents across various sectors in Asia, USA and Europe. We offer a start up environment that fosters thinking out of the box, and rewards initiative. Here, the sky is not the limit - your ambitions are. You’ll research top technologies, be exposed to AI technology implementation in real life, and interact with top minds in AI and NLP.
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.