Lead Experience Designer Summary A Lead Experience Designer is responsible for facilitating, generating and executing great user experiences for our clients and their end users. Acting as a coach, mentor and lead for both internal teams as well as an advocate for our clients’ needs, a lead experience architect is a true veteran of human-centered design, interaction design and design research – and still in love with getting their hands dirty. Essential Job Functions: • User experience planning and consolidating BRD for the entire project • Responsible for the execution of strong interaction design and visual design principles • Facilitating dialog around end-user requirements and business requirements • Guiding clients through key design engagements • Performing user research • Driving innovative solutions within platform constraints and technical limitations • Developing interaction models and conceptual frameworks of experience • Researching interaction design trends • Researching technology trends • Performing other duties as assigned Qualifications & Experience: • 6+ years of user experience design experience for software, Web applications, consumer electronics and/or mobile devices • Strong conceptualization ability and strong visual communication ability • Exceptional design skills, production value and attention to detail • Strong working knowledge of Photoshop, Illustrator, InDesign, Fireworks and associated design tools • Extensive experience with user interface design patterns and standard UCD methodologies across multiple platforms • Clear leadership skills • Strong written and verbal communication skills • Strong client-facing presentation and communication skills • Strong understanding of common software project management practices • Strong understanding of common software development practices • Bachelor’s and/or Master’s degree in interaction design, new media design, industrial design, HCI, human factors/ergonomics or related field
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) from Tier1 tech institutes. ∙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 modeling / 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.
eVidyaloka endeavors to provide quality education to children attending government schools in the remote parts of India. This is ensured by bringing Volunteer Teachers based across the globe to the villages via digital classrooms, with technology as the backbone of the Program. The initiative aims at improving the learning outcome of the children who participate in eVidyaloka's online classes and ensure that they understand and apply the concepts of their respective standards in their regular curriculum subjects. While Teacher Volunteers teach, instant access to high quality content plays a pivotal role in enabling the Teacher to deliver the concepts effectively to the child. Must-Haves: • Comfortable with browsing websites like YouTube, Google Search, PDF documents etc. • Able to Read, Write and Speak the language of instruction - Kannada, Telugu, Bengali, Marathi. • Access to a Desktop/Laptop with high speed Internet. • Prior knowledge of MS Office – Word, PowerPoint, Excel. • An academic orientation and inclination towards visual aids is an added advantage. • Keen to learn and open to constructive suggestions. • Presence of two hours per week is recommended. • An Internship certificate shall be issued on a successful completion.
In this Role you will be required to meet various types of users, understand their work flows and accordingly work on Navigation Flow for our technology product a SaaS platform for Managing OOH media spaces. Candidates having worked on product documentation, user experience design and wire framing will be given preference but bright minds with willingness to learn fast can also apply.