


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
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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.
Connect with the team
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● Assist our digital marketing team with Off page, On page & Technical SEO activities.
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● Strong written & verbal communication skills
● Creativity and ability to develop engaging content
● Detail-oriented and highly organized.
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Head of Technology
He/She should be a ‘most technical business person’ and his/her goal is to build a great company, not only a technology which just sounds cool. Let’s make it simpler - the primary job of the Tech. head is to make sure the company's technology strategy serves its business strategy. We strongly believe along with technology understanding every Technology Head needs great understating of the business itself.
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Get “Tech” in order: Help answer fundamentals of technology blocks to be used, choice of certain platform/tech over other, helping team visualize product with the available resources and assets
Innovation through Research and continuous improvement. Head of technology is one strategic personnel who provides critical and factual inputs for IP Creation.
Connecting Business Requirements with activity: Given that, Head of technology is an executive Tech leader, it’s easy for him to understand the business opportunities which Tech Product could create. He/She bring the perspective of tech as a differentiator. He/She should understand the “Market Needs” language talked by his other executive colleagues.
Methodology: With time, help build progressive learning culture and establish predictable model of envisioning, designing and developing products/ platforms and services.
Architecture Practices: Making sure that best practices are defined and followed by team is very important. he/she may have to garbage guy and clean the code time to time. Making reviews on Code Quality is an important activity that he/she should follow. For example, you build an amazing product but during deployment and testing stage performance is hit, or a bug fixes are taking more time than actual building a feature etc. need to be avoided.
Help build, manage, and validate a Tech Roadmap for its Products. As validation of idea happen with acquisition of users and customers, product / platform / service may undergo transformation on required features set and Market needs. A roadmap to achieve those “vanity goals” for the project, and be able to successfully tweak an approach with changing needs is expected from Head of technology.
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- Attend client meetings and take briefings
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Job Description
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- Creating, designing and developing data models
- Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures
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- Develop and prepare a schedule for a new data warehouse
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- Prepare various code designs and ensure efficient implementation of the same
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- Monitor data warehouse work and provide subject matter expertise
- Hands-on BI practices, data structures, data modeling, SQL skills
Experience
Experience Range |
5 Years - 10 Years |
Function | Information Technology |
Desired Skills |
Must have Skills: SQL
Hard Skills for a Data Warehouse Developer:
Soft Skills for Data Warehouse Developers:
|
We are looking for a Test Engineer: (2+ years of Test Automation)
Role: Automation Testing - Mobile application
No. of Positions: 2
Work Type: Permanent
NOTE: WE'RE LOOKING FOR IMMEDIATE JOINERS ONLY!
Responsibilities of a test automation developer include:
-Designing and writing test automation scripts
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-Work with the Release Engineering team to create and maintain an automated nightly build verification (“smoke”) test.
Additional Skills:
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-Programming language Java
Note: We are looking for an Automation Tester in Mobile
2. Contacting potential clients to establish rapport and arrange meetings.
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