business development

WeAssemble is looking for an Email Marketing Executive to support and build marketing communications. We are looking for an intermediate-level marketing professional with a track record of delivering predictable and sustainable results in a fast-paced environment.

This position collaborates closely with the Digital team, Marketing Data Operations, IT for marketing automation, and stakeholders from multiple business units.

Responsibilities

●       Control and direct the email marketing channel, as well as the related analysis

●       Create engagement strategies based on an understanding of customer needs and intent.

●       Support the execution of automated lead generation programs

●       Develop and manage digital templates (emails, landing pages, programs) within the marketing automation platform.

●       Marketing Automation Platform expert

●       Meet or exceed internal SLAs and seamlessly coordinate across time-zones as needed

●       Work in partnership with Marketing Automation Segment Liaison to optimize campaign requests to meet business goals.

●       Take ownership of marketing technology platforms

●       Analyse and report on the performance of channels and campaigns.

●      Make it easier to report on marketing impact.

●       Work closely with internal and cross-functional stakeholders (Design, Brand, Legal, Business Units, etc.) to design and approve email campaigns.

●       Ensure that email permissions are followed.

●       Implement best practices for email marketing.

●       Aid in the evaluation of new innovative opportunities to increase engagement and/or results.

●       Keep up to date with changes/developments in the IT sector through self-learning, training, and research

Desired Candidate Profile

●       3+ years outreach experience with working on a marketing automation platform such Woodpecker, Apollo.io or we connect

●       Must be able to demonstrate a high level of marketing automation

●       Excellent communication skills written, verbal, presentation

●       Proven ability to work in a collaborative environment as well as being a motivated, self-starter

●       Keep up-to-date on email and marketing automation best practices with regard to marketing automation capabilities, testing and projected results.

●       Report on critical email and marketing automation campaign metrics

●       Understand lead scoring and nurturing programs as it pertains to execution of email and marketing automation campaigns

●       Support the execution of automated lead generation programs

●       Build and execute test strategies, including A/B multi-variant testing, to drive qualified traffic and revenue-building activities

●       Monitor the campaigns and make necessary changes to generate the lead. 

Qualifications :

• Minimum 2 years of .NET development experience (ASP.Net 3.5 or greater and C# 4 or greater).
• Good knowledge of MVC, Entity Framework, and Web API/WCF.
• ASP.NET Core knowledge is preferred.
• Creating APIs / Using third-party APIs
• Working knowledge of Angular is preferred.
• Knowledge of Stored Procedures and experience with a relational database (MSSQL 2012 or higher).
• Solid understanding of object-oriented development principles
• Working knowledge of web, HTML, CSS, JavaScript, and the Bootstrap framework
• Strong understanding of object-oriented programming
• Ability to create reusable C# libraries
• Must be able to write clean comments, readable C# code, and the ability to self-learn.
• Working knowledge of GIT

Qualities required :

Over above tech skill we prefer to have

• Good communication and Time Management Skill.
• Good team player and ability to contribute on a individual basis.
• 
  
• We provide the best learning and growth environment for candidates.

Skills:

    NET Core

   .NET Framework

    ASP.NET Core

    ASP.NET MVC

    ASP.NET Web API  

   C#

   HTML

You will be getting leads from the company. You need to builds and maintains business relationships with new and existing customers. You understand customers' needs and recommend appropriate solutions, negotiate with clients to help them move down the sales funnel, record client feedback and maintain a customer database. 

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

Skills:

Core JAVA(Native), Core Kotlin, Sqlite, MySQL, XML
Developed Android Application
Use of Kotlin and Java
Knowledge of Core java and Core Kotlin must

• 1-9 years of overall working experience in the software environment.
• Minimum 3 years of experience in Agile Software Development.
• NET technologies - .NET 5, .NET Core, C#, Web API, Angular, Typescript, Azure and MS SQL.
• Coding and designing skills.
• Knowledge of database, SQL Queries, procedures & functions is must.
• Good knowledge of cloud concepts and CI/CD.
• Ability to assimilate technical and functional solutions.
• Ability to do code review and deliver quality.
• Knowledge of unit testing with mock.
• Cloud experience.
• Experience using TFS/GIT source control.
• Containerization (Docker) plus orchestration (Kubernetes or OpenShift) are good to have.
• Good written and spoken English.
• Excellent service & industry leading solutions development.

Technical Leader reporting to the CTO/CEO. Your responsibilities include the following, but are not limited to:

1. Architecting, Designing and Developing Software Programmes based on requirements provided
2. Designing and Developing with a high quality of code that is modular, scalable and re-usable at all times
3. Promote SRE (Site Reliability Engineering) to ensure all of the services are Highly-Available and Fault Tolerant at all times
4. Communicate effectively the system requirements to other software development teams
5. Involve pro-actively with client and their requirements
6. Evaluate and select appropriate software or hardware and suggest integration methods
7. Oversee assigned programs (e.g. conduct code review) and provide guidance to team members
8. Assist with solving technical problems when they arise
9. Ensure the implementation of agreed architecture and infrastructure
10. Address technical concerns, ideas and suggestions
11. Monitor systems to ensure they meet both user needs and business goals