Job Summary: - This is not a hardcore BPO job wherein you're required to take 100+ calls or chats. This is a Client Facing role and someone who has good communication skills is highly suitable for this position!
You would be alleviating our client's day-to-day responsibilities by: -
- Responding to emails and phone calls
- Scheduling meetings
- Booking travel and accommodations
- Managing a contact list
- Preparing customer spreadsheets and keeping online records
- Organizing managers’ calendars
- Performing market research
- Creating presentations, as assigned
- Addressing employees' administrative queries
- Providing customer service as the first point of contact
What we expect: - This is a 100% remote opportunity that requires working in the U.S. timezone. The VA role is one that doesn’t neatly fit within the confines of the “9 - 6 day”, so we’re looking for a go-getter who’s eager to be flexible and available, even outside traditional working hours. Our Virtual Assistant will serve as an essential partner to the client. This highly organized, endlessly resourceful person will ensure that nothing falls through the cracks.
Benefits of working with WING: -
- 100% remote opportunity which gives freedom to work at your desired location.
- Benefits of both worlds - Enthusiasm & Learning curve of a Start-Up, Deliveries & Performance of an Enterprise Service Provider.
- The sky's the limit when it comes to learning, growth & ideas.
- We do not follow the “typical corporate” hierarchy ladder.
- As part of our dedication to an inclusive and diverse workforce, Wing is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.
Subodh Popalwar
Software Engineer, Memorres
About Wing Operations & Technologies
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Machine Learning (ML)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
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- 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)
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- 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
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- 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
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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
LeadershipJOB DESCRIPTION:
Must have good analytical and problem solving skills.
Works as a Project Manager and reports directly to CTO/ VP
Manage daily/weekly scrums.
Able to perform and follow coding standards.
Perform R&D tasks if assigned and communicate with the Designer and UI team.
Taking leadership responsibilities and handling the team well
Strong Communication Skills.
NodeJS (Node.js)
Javascript
React.js- Minimum 4 years’ experience developing Node.js applications on top of RESTful APIs.
- Experience building single page applications using JavaScript frameworks and libraries (React)
- Experience with cross-browser, cross-platform and design constraints on the web.
- Experience with test automation: TDD, unit/integration/functional testing.
- Solid understanding of object-oriented design and programming concepts.
- Have a passion for quality and writing clean, solid, readable code that scales and performs well.
- Proficient in Git and familiarity with continuous integration.
- A team player who values collaboration, innovation, and inclusion
- Comfortable working in an Agile environment
- Strong verbal and written communication skills
1. Planning digital content marketing strategies, creating & curating posts for social media handles (5-6 articles to be written per month).
2. Ensuring that there is no plagiarism in any of the content which is put up on the social media handles.
3. Understanding & researching the basics of content writing for the company website, social media requirements, and blogs.
4. Creating content based on trends, research, monitoring the competition, adapting to change accordingly & can produce exceptionally good content.
We are looking for a passionate sales executive to join our sales team. The sales executive's responsibilities include generating leads, making sales calls, continuously updating our CRM database, and meeting sales targets.
Responsibilities:
· Researching prospects and generating leads.
· Contacting potential and existing customers on the phone, by email, and in person.
· Handling customer questions, inquiries, and complaints.
· Managing the sales process through specific software programs.
· Building and maintaining a customer database.
· Meeting daily, weekly, and monthly sales targets.
· Participating in sales team meetings.
· Set up meetings with potential clients and listen to their wishes and concerns
· Prepare and deliver appropriate presentations on products and services
· Create frequent reviews and reports with sales and financial data
· Ensure the availability of stock for sales and demonstrations
Skills Required:
· Presentation Skills
· Client Relationships
· Emphasizing Excellence
· Negotiation Skills
· Prospecting Skills
· Meeting Sales Goals
· Creativity
· Sales Planning
· Independence
· Motivation for Sales
Experience:Minimum 2 years in any sector, Preferably FMCG Sector
Education:Bachelors in Business Management or related field.
Job Type:Full-time
Schedule:
· Morning shift
· Day Shift
Ability to commute/relocate:
Vishakhapatnam, Vishakhapatnam - 530007, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required)
Education:
· Bachelor's (Preferred)
Experience:
· Sales: 2 years (Preferred)
Lead generation:2 years (Preferred)
Total work: 2 years (Preferred)
Language:
English (Preferred)
Job Type: Full-time
Schedule:
- Day shift
- Morning shift
Ability to commute/relocate:
- Visakhapatnam, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required)
Experience:
- total work: 2 years (Preferred)
- Sales: 2 years (Preferred)
Language:
- English (Preferred)
- Produce clean code and automated tests
- Align with enterprise architecture frameworks and standards
- Be the role-model for all engineers in the team in terms of technical competency
- Research, assess and adopt new technologies as required
- Be a guide and mentor to the team members and help in ramping up the overall skill-base of the team.
- Produce detailed estimates and optimized work plans for requirements and changes
- Ensure that features are delivered on time and that they meet the business needs
- Strive for quality of performance, usability, reliability, maintainability, and extensibility
- Identify opportunities for process and tool improvements
- Use analytical rigor to produce effective solutions to poorly defined problems
- Follow Build to Ship mantra in practice with full Dev Ops implementation
- 10+ years of core software development and product creation experience in CPaaS.
- Working knowledge in VoIP, communication API , J2EE, JMS/ Kafka, Web-Services, Hadoop, React, Node.js, GoLang.
- Working knowledge in Various CPaaS channels - SMS, voice, WhatsApp, RCS, Email.
- Working knowledge of DevOps, automation testing, test driven development, behavior driven development, server-less or micro-services
- Experience with AWS / Azure deployments
- Solid background in large scale software development.
- Full stack understanding of web/mobile/API/database development concepts and patterns
- Exposure to Microservices, Iaas, PaaS, service mesh, SaaS and cloud native application development.
- Understanding of Agile Scrum and SDLC principles.
- Containerization and orchestrations:- Dockers, kuberenetes, openshift, consule etc.
- Knowledge on NFV (openstack, Vsphere, Vcloud etc)
- Experience in Data Analytics/AI/ML or Marketing Tech domain is an added advantage
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- Demonstrated understanding of best practices in building web based applications
- Familiarity with SQL Server / Oracle Databases
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Good to have Hadoop and Spark experience.
Good conceptual knowledge on Data-Warehouse and various methodologies.
Working knowledge in any of the scripting like UNIX / Shell
Good Presentation and communication skills.
Should be flexible with the overlapping working hours.
Should be able to work independently and be proactive.
Good understanding of Agile development cycle.
Follow CutshortSubodh Popalwar
Software Engineer, Memorres