Sales Account Executive

Urgent Hiring!!!

We are looking for Android Developer

Job Description:

• 0.3 to 1 year of experience in developing android applications
• Proficiency in Java, Kotlin, or C++.
• Ability to easily use Android Studio, including the Android SDK.
• Prior experience as an Android Developer will be advantageous.
• Excellent coding and proofreading skills.
• Ability to manage your workload with minimal supervision
• Proofreading your code and correcting mistakes before each app is released.
• Collaborating with UI and UX Designers, as well as Software Testers, to ensure that each app is presentable and in perfect working order

Location: Surat (full-time onsite and local candidates only)

Thanks!

Job Title: Senior Software Engineer

Division/ Department: Technology

Reports to: Engineering Manager

Work Location: Noida

Desired Work Experience: 4+ years

Weekly Off: Saturday & Sunday

About Aakash Technology Innovation Lab

Are you passionate about transforming the field of education as we know it?

The way education is imparted has been disrupted massively due to forces such as ed-tech digital revolution, the advancement in artificial intelligence technology and the pandemic. Given the rapid pace of transformation, the vision of the Technology Innovation Lab at Aakash is to make the education of the future a reality. The Technology Innovation Lab aims to leverage state-of-the-art technologies to develop industry-defining bleeding-edge solutions for a student-first world-class hybrid learning experience. This involves -

• Reimagining and conceptualizing how education will be imparted in the future in the omni-channel and immersive learning environment
• Building data platforms such as Power BI dashboards to facilitate students, parents, teachers and the business 
• Creating applications to support the futuristic tech-enabled smart classrooms
• Conceptualizing and developing mobile and web applications for seamless customer experience
• Developing Internet of Things (IoT) driven integrations into applications to build futuristic learning experience
• Leveraging Artificial Intelligence (AI) and Machine Learning (ML) to identity interventions to boost student performance

If this excites you, we might have the perfect opportunity for you in the world’s most valued ed-tech company!

About Aakash - AESL

Aakash Educational Services Limited (AESL), commonly known as Aakash, is one of the most leading educational services institution providing comprehensive test preparatory services for students preparing for medical and engineering entrance examinations, school/board exams and competitive and scholarship exams such as NTSE, KVPY, and Olympiads. 

AESL also partnered with Blackstone, a global investment management firm. 

With more than 32 years of operational experience in the test preparatory coaching industry, the company has a pan India network of 220+ Aakash centres with an annual student base 2,50,000+ students and an employee count of more than 4700.

Purpose of the Role

Develop software solutions that enable the students, parents and teachers to have superior learning and teaching experiences, both inside and outside the classroom.

Key Responsibilities

• Develop state-of-the-art high performance and low latency software applications for mission critical systems
• Contribute in all the phases of the software development lifecycle
• Craft a well-designed, testable, efficient code
• Perform object-oriented analysis and design using common design patterns.
• Effectively and seamlessly manage communication with all stakeholders.
• Manage and provide live support to the developed applications

Qualification/ Experience

Must-Have Preferred

Education B.E / B.Tech Information Technology / Computer Science/ Information Science

• Experience 4+ years of hands-on experience in designing and developing applications using Java EE, Spring, Spring MVC, Spring Boot Frameworks
• Experience with test-driven development
• Experience with relational databases (MySql, Oracle, Postgres) or NoSql Databases (Cassandra, MongoDb, CouchDb) .
• Agile programming (Sprint, Scrum) experience
• Skills Understands version control branching strategies
• Understands different major language paradigms (object oriented /functional /reactive)
• Understanding and some experience in programming with AWS SDK
• Knowledge of Kafka and Redis

Competencies

Behavioral Competencies Level Functional Competencies Level

1 Team Player Written and Verbal Communication

2

What We Offer

As a technology professional in Aakash Technology Innovation Lab we offer you an opportunity to - 

• Become a pioneer of the education of the future by reimagining and building innovative solutions for the ed-tech industry leading hybrid learning experience
• Be a force of technological disruption as a part of a passionate and high growth team on an exciting endeavor to transform the education industry
• Belong to an upbeat, flexible and relaxed work culture with a specific focus on collaboration
• Craft an excellent career at Aakash through a broad realm of career tracks and opportunities
• Excel in your chosen stream and become a renowned technologist in the ed-tech industry with heavy investment from the business into your learning, exposure and growth
• Have a highly competitive compensation and benefits package 

ONLY APPLY IF:

• Experience required: 3+ years
• Immediate joiners are needed
• Work location: Hyderabad, Telangana (currently work from home)
• Salary: INR 12LPA - 19LPA (negotiable as per your experience and expertise)

Job Responsibilities:

• Building interactive consumer data from multiple systems and RESTfully abstracting to the UI through a Node.js backend
• Define code architecture decisions to support a high-performance and scalable product with a minimal footprint
• Address and improve any technical issues
• Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant, and efficient systems
• In-depth knowledge of #NodeJS, #ExpressJS or #Restify
• Experience implementing applications using Angular 2or React
• Experience creating front end applications using HTML5, Angular, LESS/SASS
• Hands-on experience with JavaScript Development on both client and server-side
• Experience with modern frameworks and design patterns, minimum one-year experience with #MEAN Fullstack paradigm
• Setting up reusable UI and tooling & best practices for the dev team.
• Identify bottlenecks and improve the application performance.

• Mosaic Wellness is looking for an Android developer responsible for the development and maintenance of existing applications along with continuous integration of new features, who can take the ownership and work independently.
• 1.5+ years of experience in Kotlin is must 
• Your primary focus will be development of Android applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure.
• Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
  

• Integrate the design into high-quality code.
• Ensure the performance, quality, and responsiveness of an application.
• Identify and correct bottlenecks and fix bugs.
• Work along-side other developers working on a different platform for the Application. Therefore, commitment to collaborative problem solving, design implementation and creating a quality product is essential.
  

• Minimum 2+ years of experience in Android Application Development.
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
• Understanding of Android design principles and interface guidelines.
• Must have already deployed at least one app on PlayStore.
• Working knowledge of Web Services & REST (JSON) APIs, Websocket, Kotlin, Retrofit, SQLite, Google API Integration, Firebase.
• Familiarity with cloud message APIs and push notifications.
• Experience with third-party libraries and APIs.
• Strong mobile UI design and implementation experience.
• Experience with the E-commerce store app
  
• Understanding of code versioning tools.

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 Qualifications
Candidates 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 Qualifications
Any 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 Systems
FogHorn 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/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">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 team
In 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