Content Writer

Position Overview

• To manage, generate and maximize the revenue through effective Sales & Services to the existing clients and identification of prospective clients.

Required Technologies:

o Excellent understanding of Ruby, Ruby on Rails, CSS3

o Able to communicate well with others on technologies bases

o Working knowledge with Rspec is good to have.

o Have previous experience building features in production applications.

o Good Knowledge of SQL

Good To Have

o Basics of GIT and GIT LAB

o PostgreSQL

Able to understand frontend JS frameworks

1.       Strong knowledge in Front end scripting like EJS, JavaScript, Jquery

2.       Proficiency with fundamental front-end languages such as HTML, CSS.

3.       Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.

4.       Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net

5.       Good Understand with database technology such as MySQL, Oracle, and MongoDB.

Responsibilities

- Translate designs and wireframes into high quality code

- Design, build, and maintain high performance, reusable, and reliable Java code

- Ensure the best possible performance, quality, and responsiveness of the application

- Identify and correct bottlenecks and fix bugs

- Help maintain code quality, organization, and automatization

Skills

- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes

- Familiarity with RESTful APIs to connect Android applications to back-end services

- Strong knowledge of Android UI design principles, patterns, and best practices

- Experience with offline storage, threading, and performance tuning

- Ability to design applications around natural user interfaces, such as “touch”

- Knowledge of the open-source Android ecosystem and the libraries available for common

tasks

- Ability to understand business requirements and translate them into technical requirements

- Familiarity with cloud message APIs and push notifications

- A knack for benchmarking and optimization

- Understanding of Google’s Android design principles and interface guidelines

- Proficient understanding of code versioning tools, such as Git

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

Skill Set:

• Strong knowledge in SQL Server
• Program and develop SQL scripts, tables, views, stored procedures, functions, triggers & constraints.
• Scripting (PowerShell, shell scripting)
• Azure Database (Nice to have)
• Experience with backups, restores and recovery models.
• Familiarity with database design, documentation and coding.

 Responsibilities: 

• Configures and validates database backup routines on a regular basis.
• Establish a regular data retention plan.
• Optimizes database performance through the use of database performance tuning techniques and tools.
• Require extensive familiarity with data management principles and best practices in order to properly store, migrate, and structure data for multiple applications.