


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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Experience 2 - 4 Years
Location Gachibowli, Hyderabad
At Nspira CBD’s Technology team, we're looking for a client-side JS developer to join our
growing frontend team. As the client-side developer, you will help develop the next
generation education app using tools such as React.js, jQuery and similar. You will ensure that
these components and the overall application are robust and easy to maintain. You will
coordinate with the rest of the team working on different layers of the infrastructure. We're
looking for someone who is comfortable with a fast-moving environment and can learn
quickly.
Our Client Focus: Ed-tech digital apps covering multiple stakeholders that include but not
limited to students, parents, teachers, principals and other admin staff etc.
How You’ll Grow
At Nspira CBD, we’ve dedicated a great deal of time to create a rich environment in which our
professionals can nurture and grow. We want our team to develop in its own way, playing
according to their own strengths as they hone their leadership skills. As a part of our efforts,
we provide exposure to challenging assignments—to help accelerate their careers along the
way.
Nspira CBD’s Culture
Our dynamic culture allows people to do their best every day. Our culture is an amalgamation
of start-up and established firm’s culture, giving the employee a unique experience to thrive
in today’s dynamic and volatile work scenario.
Work You Will Do
Nspira CBD offering works with clients from education industry to help them enable digital
penetration through our various digital business solutions such as nLearn, nConnect, nGuide
to name a few that create large scale impact. You will get to work with a customer base of
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lakh questions were attempted by students on the nLearn platform and 4.7 lakh tests for IITJEE
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classrooms impacting approximately 2 lakh students.
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1. Develop new components and features for our frontend app(s)
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4. Optimising components for maximum performance across a vast array of web-capable
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While these requirements are a guideline, feel free to apply even if you don't meet some of
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ExP:3 to 5yrs |
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JD: |
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