What You Will Be Doing As Web Developer you will design, develop and deploy our machine learning front end platform with focus on high availability, low latency and scalability. You will work closely with passionate ML Engineers and Deep Learning Researchers. You will be writing high-quality code while making sure of the proper usage of best practices, patterns and methodologies. You will be able to communicate the requirements and dependencies of components with other team members and maintain the technical documentation. You will mostly work independently but always with the support of other team members in the agile and fast paced environment. You will be responsible for Delivering scalable and performant user interfaces for Carabiner products, integrating with our service infrastructure using web technologies. Setting web development coding standards. Documenting procedures and designs through whole software lifecycle. Working with designers incorporating their work flows and implementing visual styles as specified. What You Need for this Position software development experience. Solid grasp of current web technologies (e.g. HTTP, cookies, headers) and Computer Science fundamentals. Experience of profiling and optimizing code performance. Good spoken and written English Required technical skills HTML5, CSS, JS Modular design using Angular 2 or equivalent MVC framework Testing frameworks using QUnit or equivalent framework Typescript Agile/Scrum experience Websockets Location Remote
About Company:Being into the IT domain for over 7 years, Walkover specializes in web-based application development and mobile application development. It has been creating innovative products since it was founded and continues to introduce new products from time to time.The technologies we use are Core PHP, Python, Node.js, Android, Windows, open source software and powerful AWS servers. Walkover uses the best available technology - premium version of databases and so on, so that our products work smooth and robust.About the Internship: Selected intern's day-to-day responsibilities include1. Working on an idea and building a prototype2. Assisting the development team with the various task and documentation Only those candidates can apply who: are available for full time (in-office) internshipcan start the internship between 22nd Mar'18 and 21st Apr'18are available for duration of 4 months are from Indorehave relevant skills and interests** Women willing to start/restart their career can also apply.Stipend:INR ₹10000-15000 /MonthDeadline:2018-04-05 23:59:59Other perks:Certificate, Informal dress code, Free snacks & beverages.Skills required:PHP (Learn PHP), MongoDB and LARAVEL
Job Description Responsibilities - Develop Machine Learning Models - Develop CNN models with Tensorflow - Develop UI using latest technologies Desired Skills - We use Python, Go, Tensorflow, Docker, and PostgreSQL, but frequently change technologies and learn new skills very quickly - Experience with SQL databases is a plus - Passionate about clean, well-documented code with unit tests - Knowledge of functional programming is a plus Desired Personal Qualities - Proactive. - Future optimistic. - Positive. - Correct. - Passionate. - Insane. Contrarian. - Honest. Trustworthy.
We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills: Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Should have strong programming & Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive Bayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component analysis. Experience using natural language processing techniques and Deep Learning using TensorFlow will be a plus. Should have minimum 5 years of relevant work experience.