Data Science
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
- 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
Shubham Vishwakarma
Full Stack Developer - Averlon
About Egnyte
About
Egnyte provides secure Enterprise File Sharing and Content Governance built from the Cloud down. Access, Share and Control 100% of your data from anywhere using any smartphone, tablet or computer.
Egnyte store billion of files and petabytes of data and we are looking for help to take the platform used by millions of users to the next level of scale. Autonomy and ownership is integral to our culture and engineers own one or more services end to end.
We’re looking for Engineers and they should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.
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As a Motion Graphics Designer you do more than bringing graphics to life. You use your strong creative background to create powerful stories that capture an audience and leave them wanting more.
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MongoDBJob description
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Job Title:
Sr.Copywriter
Job Description:
Build in-depth knowledge of the brand & services.
• Identify opportunities for best content/copy practices for digital mediums
• Grammar Nazi, quick thinker with clear concept cracking
• Should have prior experience in writing content for social media platforms
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Experience Range:
3 - 5 years
Educational Qualifications:
Any graduation,
Job Responsibilities:
Build in-depth knowledge of the brand & services.
• Identify opportunities for best content/copy practices for digital mediums
• Grammar Nazi, quick thinker with clear concept cracking
• Should have prior experience in writing content for social media platforms
• Write compelling copy/script for campaigns • Keep abreast with trending topics/ memes/ viral content etc
• Quick in churning ideas and writing content for the social media calendar
• Ownership of content across Social, ORM and Videos
• Engage with external partners- influencers/bloggers/vendors
• Should be able to clearly explain the content concept to the creative team and stakeholders.
Skills Required:
Copywriter,
Candidate Attributes:
-Strong communication skills in English (additional regional language a plus)
• Good and creative writing skills
• Understanding of digital landscap
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Short runs at Bourdaina are 3 month fast track programs with clearly defined processes & objectives. Atleast one short run is mandatory before joining us for long haul.
Here's what you'll do day-to-day:
- Actively seeking out new sales opportunities through networking and social media.
- A sales intensive role where you help restaurants, F&B brand, Hotels and FMCG brands by selling Bourdaina products
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- Account management for key clients of the organisation.
- Manage end-to-end client relationships including pitching, negotiation, contracting, billing/invoicing, and payment collection, result tracking and troubleshooting.
Here's what we're looking for:
- People with 0 - 3 years of work experience. Relevant experience in B2B sales will be great!
- Someone who comes with a strong sense of initiative and personal leadership demonstrating the ability to function independently, and comfortable working in a startup environment.
- A person who is articulate, organized, detail-oriented, and has the ability to multitask.
Read Bourdaina Wireframe blogpost on Bourdaina LinkedIn page to understand Bourdaina Short Run Program
Java
Spring Boot Work on the development backend systems for our first product
Build reliable, secure and performant backend systems
Drive test coverage and continuous delivery automation within the team
Requirements
3-5 years of software development experience
Strong computer science fundamentals
Good knowledge of Java ecosystem
Can write code that is readable, maintainable and performant
Good understanding of relational databases, transactions, entity-relationship modeling
Comfortable writing multi-threaded programs
Desired Skills and Experience
Java,J2EE,Spring,Struts
Angular (2+)
NodeJS (Node.js)MongoDB
Express
Python
Java
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon