Business Analyst -Lending

Scoutflo is a platform that automates complex infrastructure requirements for Kubernetes Infrastructure.

Job Description:

1. In-depth knowledge of full-stack development principles and best practices.
2. Expertise in building web applications with strong proficiency in languages like
3. Node.js, React, and Go.
4. Experience developing and consuming RESTful & gRPC API Protocols.
5. Familiarity with CI/CD workflows and DevOps processes.
6. Solid understanding of cloud platforms and container orchestration
7. technologies
8. Experience with Kubernetes pipelines and workflows using tools like Argo CD.
9. Experience with designing and building user-friendly interfaces.
10. Excellent understanding of distributed systems, databases, and APIs.
11. A passion for writing clean, maintainable, and well-documented code.
12. Strong problem-solving skills and the ability to work independently as well as
13. collaboratively.
14. Excellent communication and interpersonal skills.
15. Experience with building self-serve platforms or user onboarding experiences.
16. Familiarity with Infrastructure as Code (IaC) tools like Terraform.
17. A strong understanding of security best practices for Kubernetes deployments.
18. Grasp on setting up Network Architecture for distributed systems.

Must have:

1) Experience with managing Infrastructure on AWS/GCP or Azure

2) Managed Infrastructure on Kubernetes

• Atleast 5+ years of Certinia/Similar financial product experience required.
• Proven experience of current or prior admin & troubleshooting is required.
• Good experience in Migrations and Integrations.
• Familiarity with Financial Management (FF Accounting/FFA)/similar and Billing Central/similar
• Proven experience in ticket resolution within Certinia/similar financial products & platform
• Proven knowledge of Certinia PSA / similar modules OR similar modules within other financial softwares
• Proficiency in Salesforce basics (Admin certification preferred).
• Proficiency in Certinia ERP (certification preferred).
• Proven experience of working with UK,US, EU clients.
• Strong written and oral communication skill is mandatory.

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

• Excellent written and verbal skills
• Ability to sell work and ideas, and respond positively to feedback.
• Candidates with 1+ years of agency work experience can apply. Prior experience in social media and Account Management will be preferred
• Candidate with Prior mandatory experience with copywriting, content, social media Management experience with a focus on creative direction,
• Strong communication & presentation skill along with client handling skill set is a must.
• Knowledge of Facebook,Instagram, Twitter, linkedin social media platforms

Roles & Responsibilities:

•             Ability to work as a member of a team assigned to design and implement solutions.

•             Data analysis - skills to conduct analysis and deliver recommendations to the team and customer.

•             Dashboard and Dataset development - develop dashboards and datasets that meet and exceed customer requirements.

•             Presentation skills - demonstrated ability to simplify complex situations and ideas and distil them into compelling and effective written and oral presentations.

•             Learn quickly - the ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.

•             Experience in vendor and/or project management

•             Strong problem solving capabilities to participate in complex strategic initiatives

Skills Experience:

•             Hands-on experience working with Tableau CRM,Force.com using Apex, triggers, Visualforce and LWC.

•             Experience in documenting data flows and mapping

•             Experience of preparing / transforming the data using custom SQL

•             Ability to understand the best way of visualizing complex datasets

•             Previous experience using Einstein Discovery is a plus.

•             Must have strong communication and collaboration skills

finhence is hiring for the role of back-end web developement intern.

duration- 4 months

skills required - node.js, API , PHP etc

experience- freshers/ undergraduates can apply

• 3+ years demonstrated experience in the Testing Web & mobile applications.
• 1+ Years of experience in Js based Web application testing. (Like: Angular Js, Vue Js, react js)
• Create and maintain API-based automation test scripts using tools like J meter, SoapUI or Postman
• API Automation using Soap UI/Rest assured / Postman (Mandatory)
• Create and maintain API specific test plans
• Conducting Performance and Load tests on the API's and provide detailed report and analysis on metrics like Breakage point etc.
• Participate in creating and clarifying User Stories, and in planning Sprints.
• Maintaining all the testing artefacts in SharePoint.
• Updating test management tools (JIRA / Bugzilla etc) so that the current status of the project can be known at any time by stakeholders.
• Issue tracking, analysis and reporting.
• Excellent verbal and written communication skills.