Yapsody India is looking for an Node.JS Team Lead to manage and oversee the design and development of software applications. You will direct the work of engineers to ensure the best practices around software development. Being a relatively small sized engineering team, individuals carry a lot of responsibility on their shoulders. Coming up with the designs of features, evaluating external libraries and frameworks, enhancing existing platform infrastructure, reviewing major architectural decisions, planning and executing deployments with minimal system downtimes is part of the everyday job. For an individual with a hunger to solve problems and who thrives on challenges, the opportunities @Yapsody are practically limitless. Our fun and inspirational office culture, flexible work policies, and micro-team structure will allow you to dictate the direction of your career. Ultimately, 2 years at Yapsody is like adding 5 years to your CV. Here’s what to do… Contact us to schedule a time to attempt an online Node.JS exam Pass the NodeJS exam Get the job (subject to customary background checks). Here’s some scoop on Yapsody… Yapsody, based in Los Angeles, California USA, is an expanding worldwide brand with thousands of clients spanning North America, U.K., and Australia. For any passionate techie looking to break from the mundane, this is a very exciting time at Yapsody as we rebuild our event ticketing product from scratch and migrate from our legacy monolithic structure to a vast micro services-based architecture that ventures into all aspects of event management. As a major U.S. concert promoter, we at Yapsody pilot all our products in live settings and refine them before rolling out to the world. Duties and Responsibilities Code, design, execute, utilize and maintain software engineering applications. Prepare all required technical documentation pertinent to software engineering. Assign work to team and evaluate plus manages their performance. Supervise engineering deliverables quality and standards. Comply with all professional departmental as well as company best practices. Help translation of business requirements into technical needs and actions. Supervise training and development of the team. Ensure team is suitably trained to perform all job function and suitably use project and software related tools. Requirements 4+ years of experience in building large scale applications or products in Node.js, Microservices & AWS with a prior experience of atleast 1 year in a lead position 'A Bring It On' attitude; bias for action; self-driven, end-to-end ownership entrepreneurial approach; focus on operational excellence; ability to work with ambiguity Strong in problem solving skills, data structures and algorithms Very good understanding of one or more of RDBMS/NoSQL/Messaging/Caching technologies Very good understanding of container services using docker tools. Very good understanding of CI/CD pipelines and automation tools for faster deployments Excellence in programming, debugging, and implementation skills Web service development and consumption (REST, XML Feeds, and SOAP) Thorough understanding of application security, scalability and distribution aspects
About Hopscotch HealthHopscotch Health is a technology-driven healthcare startup focused on building the future of healthcare, by bringing together the best practices from data science, artificial intelligence, and behavior science. We work with our partners from hospitals, clinics, and social organizations to create comprehensive programs for chronic disease management. What sets us apart is that we’re data smart - our technology is highly adaptable to the most pressing healthcare problems. Through our partnerships with and talent from organizations including Carnegie Mellon University, Tata Institute of Social Sciences, and Asian Cancer Institute, we’re making the tools to monitor and improve health simple, intuitive, and human. Join us in building the healthcare system of the future! Our Values: We believe that everybody should be able to afford quality healthcare access, that any healthcare system should account for not just medicine but all the determinants of health and that technology can help us get there faster. To read more about the potential of artificial intelligence and behavioral science to tackle large healthcare challenges, click here. Our North Star goal is to establish a roadmap for the implementation of Universal Healthcare. To target some of the biggest challenges head-ons, we’re building programs tackling tobacco cessation and diabetes management in resource-constrained populations. To read more about the chronic disease epidemic in India, click here. About the role: We are looking for a data science expert who has 2 to 3 years of hands-on experience in Python with broad experience in machine learning and cloud AI. We’re looking for a dynamic self-starter given the varied nature of remote work and the agility of the startup environment. Key responsibilities: Lead and manage a team of data entry personnel and junior data analysts Create and maintain automated systems for ensuring data quality Maintain ETL and machine learning pipelines Build and iterate on reproducible machine learning experiments Interface with the backend, front office, and algorithm teams build data delivery pipelines Does this sound like you? Must-haves: Strong grasp of core principles with 2 to 3 years of hands-on experience with Python Conversant with NoSQL and data streams Prior experience in ML - predictive modeling, tensor flow, NLP Prior experience with AWS or another cloud platform
About Hopscotch Health Hopscotch Health is a technology-driven healthcare startup focused on building the future of healthcare, by bringing together the best practices from data science, artificial intelligence, and behavior science. We work with our partners from hospitals, clinics, and social organizations to create comprehensive programs for chronic disease management. What sets us apart is that we’re data smart - our technology is highly adaptable to the most pressing healthcare problems. Through our partnerships with and talent from organizations including Carnegie Mellon University, Tata Institute of Social Sciences, and Asian Cancer Institute, we’re making the tools to monitor and improve health simple, intuitive, and human. Join us in building the healthcare system of the future! Our Values: We believe that everybody should be able to afford quality healthcare access, that any healthcare system should account for not just medicine but all the determinants of health and that technology can help us get there faster. To read more about the potential of artificial intelligence and behavioral science to tackle large healthcare challenges, click here. Our North Star goal is to establish a roadmap for the implementation of Universal Healthcare. To target some of the biggest challenges head-ons, we’re building programs tackling tobacco cessation and diabetes management in resource-constrained populations. To read more about the chronic disease epidemic in India, click here. About the role: We are looking for a Backend Engineer who has hands-on experience in Django/Flask who can help develop and manage our backend platform and perform infrastructure management tasks with some experience in DevOps. As a Backend Engineer, you develop new features and maintain our python backend; maintain tests, fix bugs, and help integrate with frontend code built by your coworkers. Were looking for a dynamic self-starter given the varied nature of working with distributed teams and the agility of the startup environment. As a DevOps engineer, you assist in designing, provisioning and maintaining infrastructure; configuring continuous integration and continuous delivery; backup and restoration; monitoring, logging, alerting, and security. Key responsibilities: Write reusable, testable, and efficient code. Maintain the development, testing, and delivery of the CI/CD pipeline. Manage security and data protection implementation and testing. Oversee optimization of the application for maximum speed and scalability. Help implement and test new backend features. Help integrate user-facing elements developed by front-end developers with server-side logic. Maintain and debug our ongoing deployments in dev and production environments. Check alerts and logs for failures and fixing bugs. Does this sound like you? Must have 3+ years of experience working as a Python developer/engineer. Experience in using MongoDB and SQL. Experience in using Docker. Experience in working in cloud-based platforms like AWS, Google Cloud, etc. Preferred Experience with firebase and firestore. Knowledge of Machine Learning and AI is preferred. Familiarity with the basic concepts and practices of microservices. Ability to implement automated testing.
Spark, Storm, Flink, Kafka, Redis, Java. Database Technologies like Cassandra, MySQL & PostgresSQL, Elastic Search. Having knowledge of Python & Machine Learning/Artificial Intelligence Technologies would be advantageous. Working knowledge of Microsoft Azure or Amazon AWS. Building tools: Maven, Jenkins, Ant. TFS, Git or SVN exposure.
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes. This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals. You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company. What you will achieve: Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space Partner with the executive team and other business leaders to deliver cross-functional research work and models Required Skills: Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience Knowledge of deep learning & NLP Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets. Experience with GPU computing is a plus. Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company. Expert-level experience with a wide range of quantitative methods that can be applied to business problems. Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization. Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders. Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Qualifications Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization Expert-level experience with machine learning that can be applied to business problems Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application) 5+ years of industry experience in data science and machine learning, preferably at a software product company 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you 3+ years of experience partnering with executive staff on data topics