Associate/Sr Ass-Info Security

0-1 years - Internship

Total Openings - 2

Department - Sales

Category - Sales

Sub Category - IT Sales

Pay according - Per month

Salary Offered ₹5,000.00 - ₹10,000.00

Business Development Executive Intern

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Skills Required

Cold Calling

Lead Generation

Negotiation

Good Communication

Description

Job Description: BDE Intern

Position Title: BDE Intern

Location: Work From Home

Company: OfferBorn

Job Type: Internship

Stipend : 5k to 10k + Incentives

Experience : 0 to 1 years

•  Excellent Communication Skills.
• Working knowledge of React libraries such as Redux, Redux Thunk, Redux Saga, Redux Forms, Immutable etc.
• Highly proficient in JavaScript and ReactJs
• Good understanding of design libraries such as Material, Ant and Semantics etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3.
• Sound knowledge of Testing frameworks such as Jest, Enzyme, Mocha, Protector etc.
• Experience of writing unit, integration and E2E tests.
• Experience of integrating third party APIs.
• Good understanding of code versioning tools, such as Git.

About the role: We are here to build a world-class tech organization with elite engineers and change agents who would spearhead this change. Currently, we are looking for engineers who are skilled, passionate, driven, and a wee bit crazy (yes, crazy works!) to join our tribe. The small tweaks you make, the processes you alter, the experiments you run, and the business decisions you drive will have reverberating effects on our ability to add value to our customers and keep them coming back for more.

What you will do everyday:

• Work with a group of people who believe in the utmost transparency and ethical practices
• Work with full autonomy and high ownership of outcomes
• Add value to our user’s life
• Focus deeply into app’s performance & stability
• Crave for a steep learning curve and challenge

Skills you need to do the job:

• 3-8 years experience with Objective C, Swift
• Experience in working on a large iPhone app, through scaling and performance issues.
• Knowledge of different Architectures like MVVM, MVP, etc - Knowledge of writing Unit Tests.
• Experience in integrating with Restful APIs. • Experience with CI/CD and building pipelines for app releases is a huge plus
• Capable of handling web service integration - RESTful, JSON, SOAP, XML
• Focus and passion for Mobile UI & UX to make apps exciting for the user
• Proactive towards debugging & optimization codebase
• Rapid prototyping skills for getting product feedback
• Understanding of product development lifecycle
• Experience in React Native or any cross-platform mobile development is a bonus

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.