Shuttl is a bus aggregating platform offering shuttle bus service to its commuters in cities like Noida and Gurgaon. The effort is to address the daily commute problem faced by office goers. It's a mobile based minibus service aimed at making your daily commute more convenient. The vehicles are air-conditioned and operate with high frequency on fixed routes freeing you from the hassles of existing public transport options at a very economical price point.
Does the current state of media frustrate you? Do you want to change the way we consume news? Are you a kickass machine learning practitioner and aspiring entrepreneur, who has opinions on world affairs as well? If so, continue reading! We at UnFound are developing a product which simplifies complex and cluttered news into simple themes, removes bias by showing all (& often unheard of) perspectives, and produce crisp summaries- all with minimal human intervention! We are looking for passionate and experienced machine learning ENGINEER/INTERN, *preferably* with experience in NLP. We want someone who can take initiatives. If you need to be micro-managed, this is NOT the role for you. 1. Demonstrable background in machine learning, especially NLP, information retrieval, etc. 2. Hands on with popular data science frameworks- Python, Jupyter, TensorFlow, PyTorch. 3. Implementation ready background in deep learning techniques like word embeddings, CNN, RNN/LSTM, etc. 4. Experience with productionizing machine learning solutions, especially ML powered mobile/ web-apps/ BOTs. 5. Hands on experience on AWS, and other cloud platforms. GPU experience is strongly preferred. 6. Thorough understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.) 7. Good Kaggle (or similar) scores, MOOC (Udacity, Coursera, fast.ai, etc.) preferred.
We are looking for smart summer interns in the field of server engineering, data science and machine learning. Requirements: 1. In your chosen internship area, show us your projects and describe the hardest problems you faced and how you solved them. 2. Before applying, solve the Logical Programming test that we have on CutShort. Internship duration: 2-3 months Type: Full time (in office). Remote not available. Stipend: 15K/month Location: Pune PPO: We would love to offer full time roles to outstanding performers
Recruitment has been a weird problem. While companies complain they can't get good talent, there are hordes of talented professionals who are unable to easily find their next big opportunity. At CutShort, we are building an intelligent and tech-enabled platform that removes noise and connects these two sides seamlessly. More than 4000 companies have used our platform to hire 3x more people in 1/3rd the time and professionals get a great experience that just works. As we take CutShort in the next growth phase, we want to make it more intelligent. A big initiative is to use our data to simplify UX, reduce user errors and generate better results for our users. We should talk if: 1. You have at least 1 year of full-time experience in using M/L on real data to get real results. 2. Beyond the tools, you have a sound understanding of the underlying mathematical models. 3. You want to work in a fast growing startup where you can complete ownership and minimal supervision. 4. You want to see your work actually making an impact on our user's life. Interested? Let's talk!
Precily is Artificial Intelligence platform for enterprises that increase the efficiency of the workforce by providing AI-based solutions. Head of Engineering is a leadership role reporting to the CTO of Precily. We're looking for candidates with good team management skills with expertise in AI & Machine Learning.
-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.
Position Description Demonstrates up-to-date expertise in Software Engineering and applies this to the development, execution, and improvement of action plans Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity Provides and supports the implementation of business solutions Provides support to the business Troubleshoots business, production issues and on call support. Minimum Qualifications BS/MS in Computer Science or related field 5+ years’ experience building web applications Solid understanding of computer science principles Excellent Soft Skills Understanding the major algorithms like searching and sorting Strong skills in writing clean code using languages like Java and J2EE technologies. Understanding how to engineer the RESTful, Micro services and knowledge of major software patterns like MVC, Singleton, Facade, Business Delegate Deep knowledge of web technologies such as HTML5, CSS, JSON Good understanding of continuous integration tools and frameworks like Jenkins Experience in working with the Agile environments, like Scrum and Kanban. Experience in dealing with the performance tuning for very large-scale apps. Experience in writing scripting using Perl, Python and Shell scripting. Experience in writing jobs using Open source cluster computing frameworks like Spark Relational database design experience- MySQL, Oracle, SOLR, NoSQL - Cassandra, Mango DB and Hive. Aptitude for writing clean, succinct and efficient code. Attitude to thrive in a fun, fast-paced start-up like environment
Selecting features, building and optimizing models using machine learning techniques 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 Adopting new research methodologies including deep learning (CNNs LSTMs)on projects
Role Brief: 6 + years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions. Brief about Fractal & Team : Fractal Analytics is Leading Fortune 500 companies to leverage Big Data, analytics, and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Our Big Data capability team is hiring technologists who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer and who loves to push the boundaries to solve complex business problems using innovative solutions, then we would like to talk with you. Job Responsibilities : Provides technical leadership in BigData space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc..NoSQL stores like Cassandra, HBase etc) across Fractal and contributes to open source Big Data technologies. Visualize and evangelize next generation infrastructure in Big Data space (Batch, Near RealTime, RealTime technologies). Evaluate and recommend Big Data technology stack that would align with company's technology Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms Drive significant technology initiatives end to end and across multiple layers of architecture Provides strong technical leadership in adopting and contributing to open source technologies related to BigData across the company. Provide strong technical expertise (performance, application design, stack upgrades) to lead Platform Engineering Defines and Drives best practices that can be adopted in BigData stack. Evangelizes the best practices across teams and BUs. Drives operational excellence through root cause analysis and continuous improvement for BigData technologies and processes and contributes back to open source community. Provide technical leadership and be a role model to data engineers pursuing technical career path in engineering Provide/inspire innovations that fuel the growth of Fractal as a whole EXPERIENCE : Must Have : Ideally, This Would Include Work On The Following Technologies Expert-level proficiency in at-least one of Java, C++ or Python (preferred). Scala knowledge a strong advantage. Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies -- one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, etc.Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage. Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services and the AWS CLI) Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works. A technologist - Loves to code and design In addition, the ideal candidate would have great problem-solving skills, and the ability & confidence to hack their way out of tight corners. Relevant Experience : Java or Python or C++ expertise Linux environment and shell scripting Distributed computing frameworks (Hadoop or Spark) Cloud computing platforms (AWS) Good to have : Statistical or machine learning DSL like R Distributed and low latency (streaming) application architecture Row store distributed DBMSs such as Cassandra Familiarity with API design Qualification: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
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.
A research lab with roots laid in innovation, we are looking for someone who can take reins of our AI based development think tank. Given the work ethics and results, the salary can be re-negotiated in 5 months.