Today, our most important "real world" social network resides in our "phone contacts". Our phones have become "smart" phones, but our phonebook is still old school. We manage our contacts the same way we did 20 years ago!
InTouchApp is re-thinking Contacts! We makes your phonebook "smart":
- Creates a single, clean contact list that is free of duplicates, automatically
- Helps you organize your contacts into lists, and stay organized over time
- Lets you share contacts with others, enabling people to find the right contact at the right time
- Keeps contact information up-to-date, ensuring you always have the correct information
- Solves the age old problem of business cards by letting you network with digital business cards
- Hassle free, painless phone switch with no loss of data or functionality
Here is what we have achieved in a short time span:
- Over 2 million downloads globally
- Managing over a billion contacts
- Rated over 4.5 stars
- Android, iOS, BB, Windows
Latent View is looking for Delivery Manager Exp- 7+yrs Location-Chennai Skill- 1) Stakeholder Managemen t: Should have worked in a client related role with focus on client engagement 2) Project Management: Should have managed at least team size of 10-12 members 3) Skill Sets: Technically proficient - Python + Visualisation & SQL; Text Mining & Processing/ Social Media Analytics is a plus Interested candidates mail your cv with Total exp Rel Exp CTC ECTC Notice Period
Job Description We are looking for a team member who has a background in data modeling, distributed system design, and communications protocol and is passionate about writing code and the art of management. We are a close-knit group spanning the full gamut of hardware and software design, and are looking for candidates with similarly broad engineering interests and technical management experience to become an integral part of our team. The work: Oversee a group of top-tier developers creating the backbone infrastructure of the Rapido's platform and make self-guided code contributions Hands on with in-depth technical understanding of NoSQL databases, distributed fault tolerant systems Design efficient, flexible data models and protocols for defining home automation devices on many different platforms Get involved in a diverse, cross-functional team spanning hardware, mobile apps, and cloud services Collaborate with other engineering and product teams in the organization to pull together diverse system requirements Help define and facilitate architectural vision throughout the organization Minimum qualifications: Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field or equivalent experience 2+ year's of backend platform/cloud software development experience Preferred qualifications: Understanding of multiple programming languages Experience with system-wide formal data modeling and protocol definition in distributed systems Knowledge of good API design and abstraction concepts Demonstrated achievement of delivering enterprise-grade software platforms Proficiency in designing, developing, and debugging distributed systems Experience working with cross-functional teams including backend, apps, and test engineering Excellent problem-solving, organizational, and critical thinking skills Exceptional verbal and written communication skills with the ability to effectively influence and communicate cross-functionally with all levels of the organization Experience working with external development teams/contractors to facilitate implementation In Short, the stack goes like: Node.js, Python, Go, Kafka, Kong, Redis, MongoDB, Cassandra, Spark and so on..
Job Description Job Description Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer experience? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for business intelligence engineer to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience. If you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team. Major responsibilities Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes Design structured, multi-source data solutions to deliver the dashboards and reports that make data actionable Drive the collection of new data and the refinement of existing data sources to continually improve data quality Support data analysts and product managers by turning business requirements into functional specifications and then executing delivery Lead the technical lifecycle of data presentation from data sourcing to transforming into user-facing metrics Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Basic Qualifications Bachelors or Master’s Degree in Computer Science, Systems Analysis, or related field 3+ years’ experience in data modeling, ETL development, and Data Warehousing 3+ years’ experience with BI/DW/ETL projects. Strong background in data relationships, modeling, and mining Technical guru; SQL expert and God in one of these Python/ Spark/ Scala/ Tulia Strong communication and data presentation skills Strong problem solving ability Preferred Qualifications Experience working with large-scale data warehousing and analytics projects, including using AWS technologies – S3, EC2, Data-pipeline and other big data technologies. Distributed programming experience is highly recommended 2+ years of industry experience in predictive modeling and analysis Technically deep and business savvy enough to interface with all levels and disciplines within the organization.
Job Description Rapido is India’s leading Bike Taxi application focussed on making your daily intracity commute more time-efficient and economical. Rapido is seeking a sharp, talented analyst who gets excited by looking at different forms of data and they are always ready to churn intelligence out of it. The primary duties of the role include utilizing a variety of techniques and aptitude to interpret results and identify trends in the data by preparing various analytical models and reports. Responsibilities: • Collecting, constructing and summarizing data for case-specific needs. • Performing independent and directed data analysis. • Analysing, validating, visualizing and reporting on the performance of various deep learning and statistical models. • Participating in meetings with academic experts and case team members. • Preparing various automated dashboards for specific departments. Required Skills: • Proficiency with Microsoft Excel. • Above average quantitative aptitude and ability to perform market analysis. • Computer skills and ability to learn specialized software. • Passion for mining and analyzing data. • Proficiency with statistics software will be a plus. • Knowledge of Python and R will be a plus
Job Description We are looking for a Leader who can lead a team towards accomplishing the company's Goal and has a background in data modeling, distributed system design, and communications protocol and is passionate about writing code and the art of management. We are a close-knit group spanning the full gamut of hardware and software design, and are looking for candidates with similarly broad engineering interests and technical management experience to become an integral part of our team. The work: • Oversee a group of top-tier developers creating the backbone infrastructure of the Rapido's platform and make self-guided code contributions • Hands on with in-depth technical understanding of NoSQL databases, distributed fault tolerant systems • Design efficient, flexible data models and protocols for defining home automation devices on many different platforms • Get involved in a diverse, cross-functional team spanning hardware, mobile apps, and cloud services • Collaborate with other engineering and product teams in the organization to pull together diverse system requirements • Help define and facilitate architectural vision throughout the organization Minimum qualifications: • Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field or equivalent experience • 5+ year's of backend platform/cloud software development experience • Experience in handling teams in an Agile environment towards the releases Preferred qualifications: • Understanding of multiple programming languages • Experience with system-wide formal data modeling and protocol definition in distributed systems • Knowledge of good API design and abstraction concepts • Previous startup experience is a plus • Demonstrated achievement of delivering enterprise-grade software platforms • Proficiency in designing, developing, and debugging distributed systems • Experience working with cross-functional teams including backend, apps, and test engineering • Excellent problem-solving, organizational, and critical thinking skills • Exceptional verbal and written communication skills with the ability to effectively influence and communicate cross-functionally with all levels of the organization • Experience working with external development teams/contractors to facilitate implementation In Short, the stack goes like: Node.js, Python, Go, Kafka, Kong, Redis, MongoDB, Cassandra, Spark and so on... Go ahead and click the button
Job Description Site Reliability Engineering (SRE) is an engineering discipline that combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Rapido's services—both our internally critical and our externally-visible systems—have reliability and uptime appropriate to users' needs and a fast rate of improvement while keeping an ever-watchful eye on capacity and performance. SRE is also a mindset and a set of engineering approaches to running better production systems—we build our own creative engineering solutions to operations problems. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. As SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to solve a broad spectrum of problems. Practices such as limiting time spent on operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting and dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. # **Responsibilities** * Engage in and improve the whole lifecycle of services rom inception and design, through deployment, operation and refinement. * Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews. * Maintain services once they are live by measuring and monitoring availability, latency and overall system health. * Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. * Practice sustainable incident response and blameless postmortems. # **Qualifications** ## Minimum qualifications: * Bachelor's degree in Computer Science or equivalent practical experience. * Experience in one or more of the following: C, C++, Java, Python, Go, Perl, Ruby or shell scripting. * Experience with Unix/Linux operating systems internals and administration (e.g., filesystems, inodes, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN). * 1 Year of Experience with working with Kubernetes or Dockers on Production. * 3 Years of Minimum experience in Devops (AND or OR Software development) ## Preferred qualifications: * Expertise in designing, analyzing and troubleshooting large-scale distributed systems. * Ability to debug and optimize code and automate routine tasks. * Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
Machine Learning Data Engineer Engineering Gurgaon, Haryana, India Job Description Who are we? BlueOptima provides industry leading objective metrics in software development using it’s proprietary Coding Effort Analytics that enable large organisations to deliver better software, faster, and at lower cost. Founded in 2007, BlueOptima is a profitable, independent, high growth software vendor commercialising technology initially devised in seminal research carried out at Cambridge University. We are headquartered in London with offices in New York, Bangalore, and Gurgaon. BlueOptima’s technology is deployed with global enterprises driving value from their software development activities For example, we work with seven of the world’s top ten Universal Banks (by revenue), three of the world’s top ten telecommunications companies (by revenue, excl. China). Our technology is pushing the limits of complex analytics on large data-sets with more than 15 billion static source code metric observations of software engineers working in an Enterprise software development environment. BlueOptima is an Equal Opportunities employer. Whom are we looking for? BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment. We are looking for analytically minded individuals with expertise in statistical analysis, Machine Learning and Data Engineering. Who will work on real world problems, unique to the data that we have, develop new algorithms and tools to solve problems. The use of Machine Learning is a growing internal incentive and we have a large range of opportunities, to expand the value that we deliver to our clients. What does the role involve? As a Data Engineer you will be take problems and ideas from both our onsite Data Scientists, analyze what is involved, spec and build intelligent solutions using our data. You will take responsibility for the end to end process. Further to this, you are encouraged to identify new ideas, metrics and opportunities within our dataset and identify and report when an idea or approach isn’t being successful and should be stopped. You will use tools ranging from advance Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job. Finally, you will support and identify improvements to our existing algorithms and approaches. Responsibilities include: Solve problems using Machine Learning and advanced statistical techniques based on business needs. Identify opportunities to add value and solve problems using Machine Learning across the business. Develop tools to help senior managers identify actionable information based on metrics like BlueOptima Coding Effort and explain the insight they reveal to senior managers to support decision-making. Develop additional & supporting metrics for the BlueOptima product and data predominantly using R and Python and/or similar statistical tools. Producing ad hoc or bespoke analysis and reports. Coordinate with both engineers & client side data-scientists to understand requirements and opportunities to add value. Spec the requirements to solve a problem and identify the critical path and timelines and be able to give clear estimates. Resolve issues and find improvements to existing Machine Learning solution and explain their impacts. ESSENTIAL SKILLS / EXPERIENCE REQUIRED: Minimum Bachelor's degree in Computer Science/Statistics/Mathematics or equivalent. Minimum of 3+ years experience in developing solutions using Machine learning Algorithms. Strong Analytical skills demonstrated through data engineering or similar experience. Strong fundamentals in Statistical Analysis using R or a similar programming language. Experience apply Machine Learning algorithms and techniques to resolve problems on structured and unstructured data. An in depth understanding of a wide range of Machine Learning techniques, and an understanding of which algorithms are suited to which problems. A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product. Strong written and verbal communication skills Strong interpersonal and time management skills DESIRABLE SKILLS / EXPERIENCE: Experience with automating basic tasks to maximise time for more important problems. Experience with PostgreSQL or similar Rational Database. Experience with MongoDB or similar nosql database. Experience with Data Visualisation experience (via Tableau, Qlikview, SAS BI or similar) is preferable. Experience using task tracking systems e.g. Jira and distributed version control systems e.g. Git. Be comfortable explaining very technical concepts to non-expert people. Experience of project management and designing processes to deliver successful outcomes. Why work for us? Work with a unique a truly vast collection of datasets Above market remuneration Stimulating challenges that fully utilise your skills Work on real-world technical problems to which solution cannot simply be found on the internet Working alongside other passionate, talented engineers Hardware of your choice Our fast-growing company offers the potential for rapid career progression
You will be working on the build voice based applications for iot products on google assistant and alexa.