Join a global consumer product being developed in India! With over 2.5 million downloads and over a billion contacts managed, InTouchApp is one of the few consumer products from India that have gone global. Join us in the journey to the next 10 million and learn a lot along the way!
ProMobi Technologies Pvt. Ltd. Ruby On Rails Developer Location - Pune Key Responsibilities: The individual role that you'll play in our team: Developing large multi-tenant applications in Rails. Understanding Rails best practices and religiously introducing those to our codebase. Hands-on, how to do effective Refactoring. Design, build an efficient, reusable, and reliable Ruby code Identify bottlenecks and bugs, and devise solutions to problems Help maintain code quality, organization, and automatization. Ability to write unit tests and following those practices religiously. Working closely with the Product managers and UX team. Helping QAs to write automated integration tests. Staying up-to-date with current and future Backend technologies and architectures. What we want to see in the potential Candidate The candidate would be an enthusiastic developer with a strong understanding of core Ruby and Rails framework along with PostgreSQL database. You have to consistently deliver in a fast paced environment and should be more than willing to build software that people love to use. Read the Skills and Experience' section, it is not the usual yada yada, you'll be asked specific questions on these. Skills and Experience Ruby on Rails architecture best practices Knowledge in using AngularJS or other Frontend frameworks like (Bootstrap) Strong OOP knowledge in Ruby. Asynchronous Networking in Ruby Designing RESTFul HTTP APIs using JSON-Schema or JSON API (jsonapi.org). Ability to architect and develop API only backend Experience in using ActiveRecordSerializer Understanding O-Auth2 or JWT (JSON Web Token) authentication mechanisms. How to use RSpec Rails Security Best Practices PostgreSQL and Rails. SQL concepts like Joins, Relationships etc. Understanding DB Partition strategies. Knowledge about refactoring ActiveRecord Models (read this - 7 Patterns to Refactor Fat ActiveRecord Models). Understanding scaling strategies for high-traffic Rails applications Background Job processing using Redis and Sidekiq Experience in using Amazon Web Services (AWS) tools. Writing automated Deployment Scripts using Capistrano, Ansible etc. Sending emails in Rails Knowledge in Linux and Git is mandatory About Mobilock Pro: (Our Flagship Product) MobiLock is a one-stop solution, focused on managing corporate-liable & dedicated devices, tablet-based interactive kiosks, rugged devices, mobile point of sale (mPOS) and digital signages. Our Unified Device Management dashboard is intuitive and easy-to-use. It allows you to manage all your devices, apps, and content from one place. Promobi Technologies: ProMobi Technologies provides a leading Mobile Device Management Solution under the brand MobiLock Pro. The solution allows organizations to manage Android and iOS devices from the cloud. It offers modern mobile device management (MDM), application management (MAM) and content management (MCM) experience for corporate-owned devices. Renowned organizations from startups to Fortune 500 trust MobiLock Pro for their Device Management.
We are looking to build a core team of energetic developers. Attitude and alignment to our goals are as important as skills, which means we want you to understand the work we are doing and your stakes in it.Our promise is to ensure your growth and learning as we grow. We don't do bell curves - so if we grow fast, you grow fast as well (financially as well as in our ways) with a high upside. Add to this flexibility and freedom. You decide how and when to work given you convince us that you are the best for the job.Good opportunity to build expertise in the latest/future technologies as well.Our expectation would be the commitment, flexibility, and ownership for what you do. Some would say, a person who wants to join an early startup, believes in building things from scratch with high ownership and a steep learning curve, would be a good fit.Skills- Knowledge/Application of data structures and algorithms.- Problem-solving attitude- Working knowledge of web technologies is a plus.- Working knowledge in AngularJS is a plus.- Working knowledge in Python is a plus.
Want to shape the future of Energy through Data Science? We have the data and if you have got the skills to unlock the patterns behind how a little change in one input parameter can have so much impact on the optimized Energy output parameters, like energy price. The Energy Exemplar (EE) data team is looking for an experienced Applied ML Data Scientist to join our Pune office. The data team is committed to helping EE customers keep a check on how heat rate, capacity expansion and daily unit commitment are subject to variations in demand, renewables, gas price, etc. There are lots of such use cases. By continuously gathering and analysing data, and by working with organizations inside and outside EE, the data team stays agile to combat evolving challenges. Our mission is to help advice customers and systems with industry-leading proactive optimal predictions, and engage in valuable partnerships.As a dedicated Data Scientist on our Research team, you will apply data science and your machine learning expertise to enhance our intelligent systems to predict and provide proactive advice. You’ll work with the team to identify and build features, create experiments, vet ML models, and ship successful models that provide value additions for hundreds of EE customers.At EE, you’ll have access to vast amounts of energy-related data from our sources. Our data pipelines are curated and supported by engineering teams (so you won't have to do much data engineering - you get to do the fun stuff.) We also offer many company-sponsored classes and conferences that focus on data science and ML. There’s great growth opportunity for data science at EE.Responsibilities Monitor and analyse data to uncover optimization gaps Develop high-performance algorithms, machine learning models, or other methodologies to close optimization gaps. Identify performant features and models and make them universally accessible to our teams across EE. Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models. Act as a resident expert for machine learning, statistics, and experiment design. Qualifications 5+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets. Proficiency in Python, Azure ML, or other statistics/ML tools. Proficiency in Deep Neural Network, python based frameworks. Proficiency in Azure DataBricks, Hive, Spark. Moderate coding skills. SQL or similar required. C# or other languages strongly preferred. Outstanding communication and collaboration skills. You can learn from and teach others. Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services. Experience with prediction in adversarial (energy) environments highly desirable. Understanding of the model development ecosystem across platforms, including development, distribution, and best practices, highly desirable. A Masters or Ph.D degree with coursework in Statistics, Data Science, Experimentation Design, and Machine Learning highly desirable Visit https://energyexemplar.com/ for more information.
We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well. Responsibilities Integration of user-facing elements developed by front-end developers with server side logic Writing reusable, testable, and efficient code Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Creating APIs and backend systems Scraping sites and creating backend dashboards for data management Experience with React.js and native is a plus but not required Backend infrastructure management and deployment Experience with MongoDB, Express is a plus.
Software Engineer in Test/Test Engineer work within software development agile teams to ensure software is designed and implemented for testability. They write automated unit, component and system tests to ensure code quality and detect regressions early in the development cycle. They are responsible for accurate test execution documentation. They also maintain the integration and test frameworks used by multiple development teams. They must be able to support a fast-paced agile software release process for one of Convergent’s cybersecurity customers. Job Duties Develop software to perform unit, component and system testing Develop and maintain test execution and tracking software Contribute towards architecture designs providing feedback on testability Decompose user stories into tasks and estimate story points for user stories and tasks Perform manual tests as required Experience and Skills: Required Skills o Experience in test design and implementation o Experience in release management o Experience with Python o Experience with Docker o Experience with Linux systems (CentOS and RHEL preferred) o Experience with automation tools and frameworks (unittest, Jenkins, Selenium) o Experience with Linux BASH scripting and administration o Works and communicates well in a distributed/remote team environment Desired Skills o Experience with Git and Ansible o Experience with RedHat Package Manager (RPM) and yum repositories o Experience testing applications and deploying them to cloud micro service architectures (AWS, OpenShift, Azure, etc.) o Experience with Django based full stack web development o Experience testing web application frontends (React preferred) o Familiarity with KVM/ESX virtual environments o BS in Computer Science, Engineering or a related field (3 years work experience in place of degree) If you are interested for above position, then please send me your updated cv & following details: Current CTC: Expected CTC: Notice period: Can relocate to Baner Pune (Y / N) : Experience with automation tools and frameworks (unittest, Jenkins, Selenium) in years: Experience in years in Python Scripting: Experience with Linux systems (CentOS and RHEL preferred) in years: Experience in Docker in years:
About usAikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.Get in touch If you are interested. Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team.Main Duties● Quickly research the latest innovations in Machine Learning, especially with respect toNatural Language Understanding & implement them if useful● Train models to provide different insights, mainly from text but also other media such as Audio and Video● Validate the models trained. Fine-tune & optimise as necessary● Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers● Build preprocessing pipelines for the models that are bieng served as a REST API● Periodically, test & validate models in use. Update where necessaryRole & RelationshipsWe consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEOEducational QualificationsWe don’t discriminate. As long as you have the required skill set & the right attitudeExperienceUpto two years of experience, preferably working on ML. Freshers are welcome too!SkillsGood● Strong understanding of Java / Python● Clarity on concepts of Data Science● A strong grounding in core Machine Learning● Ability to wrangle & manipulate data into a processable form● Knowledge of web technologies like Web server (Flask, Django etc), REST API'sEven better● Experience with deep learning● Experience with frameworks like Scikit-Learn, Tensorflow, Pytorch, KerasCompetencies● Knowledge of NLP libraries such as NLTK, spacy, gensim.● Knowledge of NLP models such as Wod2vec, Glove, ELMO, Fasttext● An aptitude to solve problems & learn something new● Highly self-motivated● Analytical frame of mind● Ability to work in fast-paced, dynamic environmentLocationPuneRemunerationOnce we meet, we shall make an offer depending on how good a fit you are & the experience you already have
Job Description Job Purpose We work in the latest technology, and our foundations are data structures, algorithms, strong logical reasoning and mathematics. We are looking for very strong engineers who love coding, optimizing and making sure their code is the most efficient possible. You will be involved with hardcore development. If you are an assembler of code or packages from different places to build something, you may not find our team to be the right fit. You must be someone who can build anything from the ground up. Programming language should not be any barrier for you, as you should be able to pick up any programming language or underlying technology within a week. Key Areas of Responsibility Core development. Ready to participate in designing, brainstorming and development process. You must give sleepless nights to meet deadlines whenever required. Desired Candidate Profile Essential Skills Reliable, Accountable and Trustworthy Ability to understand software requirements based on a wireframe/program specification Familiarity with PHP / Python / Java / C / C++ / Linux Sheel and Scripting / HTML / CSS / JS / Node.js is a plus Effective communication skills to ensure smooth coordination of tasks with Team Leader Knowledge of MongoDB, MySQL and PL/SQL is a plus Familiarity with ML, TensorFlow and Keras is a plus Knowledge of web servers such as Apache, NGNIX, and the HTTP protocol is plus Knowledge of multi-process, threads, memory and filesystem on Linux is desirable
What we look for? You have worked with programmable infrastructure in some way - building a CI/CD pipeline or provisioning infrastructure with programs or provisioning monitoring and logging infrastructure for large sets of machines. You love automating things, sometimes even what seems like you can’t automate - such as one of our engineers used Ansible to setup his Ubuntu machine and runs a playbook everytime he has to install something :) You don’t throw around words such as “high availability” or “resilient systems” without understanding them at least at a basic level. Because you know that the words are easy to talk but there is a fair amount of work to build such a system in practice. You love coaching people - about the 12 factor apps or the latest tool that reduced your time of doing a task by X times and so on. You know that DevOps - is meant to enable Developers do things better and faster! You understand the areas you have worked on very well but you are curious about many systems that you may not have worked on and want to fiddle with them. You know that understanding applications and the runtime technologies gives you a better perspective - you never looked at them as two different things. What you will learn and do? You will work with customers trying to transform their applications and adopting the cloud native technologies. The technologies used will be Kubernetes, Prometheus, Service Mesh, Distributed tracing and public cloud technologies. The problems are and solutions are continuously evolving in the space but fundamentally you will solve problems with simplest and scalable automation. You will build open source tools for problems that you think are common across customers and industry. No one ever benefited from re-inventing the wheel, did they? You will hack around open source projects, understand the capabilities and limitations and apply the right tool for the right job. You will educate the customers - from their operations engineers to developers on scalable ways to build and operate applications in modern cloud native infrastructure. We think InfraCloud is a rocketship you should join! InfraCloud has been working in cloud native technologies with early innovators before Kubernetes was 1.0 and when it seemed like Mesos will become the standard! Our focus & history on area of programmable infrastructure coupled with working with some innovative product companies gives us some solid engineering challenges to work on. From one of our hackathons was born BotKube Project (https://github.com/infracloudio/botkube) which was developed by our engineers and community over the last 1.5 years. When we started developing BotKube’s Microsoft Teams integration, another project was born - Go SDK for Teams (https://github.com/infracloudio/msbotbuilder-go). We are also the second largest contributor as a company to Fission - a Serverless framework for Kubernetes (http://github.com/fission/fission). Another time an engineer working with a telecom company added support for 128bit tracing ID in Jaeger. These are just some examples - and there are many more - do make a point to ask the engineers you talk to about more open source work we do. Our engineers are co-organizers of Kubernetes Pune, Docker Pune, Python Pune and can be found frequently speaking at local meetups and conferences.
Qualifications Required:● 3+ years of work experience showing growth as a Data Engineer.● Hands-on experience in AWS and Spark .● Experience using Scala or Python as a programming language.● Experience developing in AWS or similar cloud platforms. Preferred: Kinesis,ECS, S3, EMR, Athena, Redshift, or similar.● Ability to work on multiple areas like Data pipeline ETL, Data modelling &design, writing complex SQL queries etc.● Familiarity with high volume transactional systems, microservice design, or dataprocessing pipelines (Spark).● Knowledge and hands-on experience with serverless technologies such asLambda a plus.● Experience in handling high traffic web services and
We are looking for a Senior Python Developer responsible for the development of server-side logic- ensuring high performance and responsiveness to requests from the front-end , developing the server side highly data intensive rule engines, integrate third party products and systems.
Role and Responsibilities Execute data mining projects, training and deploying models over a typical duration of 2 -12 months. The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution. Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android). Core QualificationsCandidates must meet ALL of the following qualifications: Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period. Three years of industry work experience, developing data mining models which were deployed and used. Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas. Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks Bonus QualificationsAny of the following extra qualifications will make a candidate more competitive: Soft Skills Sets expectations, develops project plans and meets expectations. Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function. Technical skills Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered. Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product. Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job. Shrinking deep learning models, optimizing to speed up execution time of scoring or inference. OpenCV or other image processing tools or libraries Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations. Decision trees like XGBoost or Random Forests is helpful. Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP). Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN) Experience with PMML is of interest (see www.DMG.org). Vertical experience in Industrial Internet of Things (IoT) applications: Energy: Oil and Gas, Wind Turbines Manufacturing: Motors, chemical processes, tools, automotive Smart Cities: Elevators, cameras on population or cars, power grid Transportation: Cars, truck fleets, trains About FogHorn SystemsFogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications. Press: https://www.foghorn.io/press-room/ Awards: https://www.foghorn.io/awards-and-recognition/ 2019 Edge Computing Company of the Year – Compass Intelligence 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020) 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research 2018 The 10 Most Innovative AI Solution Providers – Insights Success 2018 The AI 100 – CB Insights 2017 Cool Vendor in IoT Edge Computing – Gartner 2017 20 Most Promising AI Service Providers – CIO Review Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive. About the Data Science Solutions teamIn 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining. Our data scientists like our team because: We care about “best practices” Have a direct impact on the company’s revenue Give or receive mentoring as part of the collaborative process Questions and challenging the status quo with data is safe Intellectual curiosity balanced with humility Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning