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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The modern corporate spending & consumption marketplace, built over unique UPI & banking architecture, integrates digital consumption of APIs & B2B marketplaces with a no-code approval workflow. This enables all types of employee discretionary spend scenarios like commute, hotels, etc, and corporate spend scenarios like PO and Non-PO based vendor spend, through a single in-app open partner platform.
No more cash. No more cards. No more reimbursements. No more offline invoice
Perks at Dice:
● Get a competitive salary & meaningful equity - we’re in this together!
● Flexible work hours and leave policies enable you to recharge and return with vigor.
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Roles & Responsibilities
Selected engineer's day-to-day responsibilities include:
• Maintaining UNIX user accounts and access managements,
• Good understanding of LDAP vs local IAM management.
• Setting up repositories and maintaining.
• Should be very comfortable with troubleshooting Linux-based systems on issues and failures with good grasp of the Linux command line
• Specialist knowledge in Unix Technologies – RedHat , SUSE Linux & SOLARIS.
• Good hands-on experience in parallel filesystems.
• Good understanding on basic networking technology e.g. TCPIP, ip multipathing, ip aggregation, DNS, DHCP etc.
• Comfortable exploring and testing new Open Source software systems should the need arise to solve particular problems
• Setting up and maintaining SUSE and Red hat Clusters with DRBD, Stonith and Coro sync
• Good knowledge in virtualisation/hypervisor technologies on various operating platforms e.g. VMWare, HPE Service Guard cluster
• Good understanding of the various enterprise technologies e.g. SAN, enterprise backup, enterprise monitoring etc
. • Good knowledge in handling NFS file systems and NFS servers
• Troubleshooting performance issues
• Shell, Power shell and python scripting
• Creating custom image based on the security requirements • Planning and executing security patches periodically
Education, Experience & other requirements
Ø Degree in Computer science, Information technology or any related discipline
Ø Minimum 4 - 5 years of experience into Unix server’s setup, administration, upgrading and support.
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Job Description for Java Developer (Hinjewadi, Pune)
About the Position:- We at nCircle Tech aspire to be an organization that provides exciting and challenging work to build next-generation software built using the latest technologies. We are looking for techno enthusiast software developers with a very good understanding & experience of web & cloud-based software development for providing value to our customers.
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Your key responsibilities would include:
Responsibilities:
● Develop different modules, features of a given application as per the requirements.
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● Involve in troubleshooting, Unit Testing, peer review as required
● Actively participate in daily standups, client meetings & demo as required
● Assist in effort estimations, technical documentation, interview process as required.
This is You:
● Have 2+ years proven experience in core Java, J2EE and have excellent codecraft
● Have hands-on experience in application development using Spring, JBoss.
● Knowledge of Hibernate & Web Services (Rest/SOAP) would be added advantage
● Have strong fundamental background on OOPs concepts
● Excellent communication and teamwork skills
● Great attention to detail and meeting sprint and project deadlines
● Someone who takes ownership of assigned tasks proactively
Preferred Qualification: ● B.Tech, B.E, M.Tech, MCA, MSc.Computers
BENEFITS :
● Hybrid working in-line with Govt / SEZ norms
● 5 day working week with flexible working times
● Standard healthcare benefits with family floater ( self + spouse + upto 2 kids)
● Flexible salary structure ( NPS / LTA / Meal Card ) benefits
● Frequent training, online library and subscriptions
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● Attractive rewards & recognition scheme
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Analyze and resolve defects coming out of testing and post production deployment. |
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We are looking for a talented Front-end Engineer capable frontend developer to join OneFin!
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- Develop tools and contribute to open source wherever possible.
- Adopt problem-solving as a way of life - always go to the root cause.
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