Total Experience: 4-7 Years
Must Have (2-3yrs):
Appium, Selenium or Protract, Any programming language, Cucumber framework
Good to Have (2-3yrs.):
Restassured, Jenkins CI/CD Integration, Database Knowledge (SQL, ORACLE etc.), Github etc

About Redian Software
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. Capability to raise/handle the support tickets presented with the Neo4j support team for product-related issues.
. To assist in planning the backup / HA / DR activities for Neo4j databases.
. Work on new and existing product initiatives and be a driver in the definition of product direction.
. Monitor data release management actions to manage issues as they arise and identify risks and mitigation responses that could impact data analytics customers or stakeholders.
. Partner effectively and influence the team's peers to fine-tune the cipher queries and support them on the static/incremental data loads.
. Take ownership - collaborate with technical and business teams to build innovative and solutions for database problems.
. Who would set the strategy and vision to improve/enhance the database architecture to support the growing data-load
. Capability to design database models and database infrastructure for highly scalable/ reliable applications.


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

Platform Services Engineer
DevSecOps Engineer
- Strong Systems Experience- Linux, networking, cloud, APIs
- Scripting language Programming - Shell, Python
- Strong Debugging Capability
- AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
- Knowledge on Terraform, Packer, Ansible, Jenkins
- Observability - Prometheus, InfluxDB, Dynatrace,
- Grafana, Splunk • DevSecOps-CI/CD - Jenkins
- Microservices
- Security & Access Management
- Container Orchestration a plus - Kubernetes, Docker etc.
- Big Data Platforms knowledge EMR, Databricks. Cloudera a plus


We are looking for developers who are passionate about Python and know what are the benefits of python well.
Responsibilities:
- Design & implement new software modules based on the product requirements
- Debug existing software components, fix issues, and avoid regressions
- Be proactive, take ownership, and be accountable
- Familiar with Test Drive Development.
- Participate in software architecture, design discussions, and code reviews
Technologies we’re hiring for:
- Developed HTTP based REST APIs and implemented Authentication, Caching
- Worked with relational and NoSQL databases and aware of concepts like ORM, Migrations
- Languages & Frameworks: Python Django/Flask
- Database: Postgres/ Mongo
- Must have worked in a Unix/Linux based environment
- Advanced middleware like RabbitMQ, Celery Beat is definitely a plus.
Minimum 3+ year hands-on experience in Python needed

Job description
The candidate will be responsible for designing, developing, testing, and debugging responsive web and mobile applications for the company. Using Angular, JavaScript, HTML, and CSS, this candidate will be able to translate user and business needs into functional frontend design.
Responsibilities
- Designing, developing, and testing UI for mobile and web applications
- Build reusable code and libraries for future use
- Accurately translate user and business needs into functional frontend code
- Experience with user interface design.
Qualifications
- Bachelor's degree or equivalent in Computer Science
- 1+years' experience in frontend development
- Familiarity using Scrum/Agile development methodologies
- Experience building object-oriented web applications in Angular, JavaScript, HTML5, and CSS3


Looking for Dot Net Developer having experience in following:
- Good Programming Knowledge in Dot Net, MVC, Asp. Net and having an experience in Frontend ( Angular2+ Versions/ React JS) will be plus point.
- Experience in OOPS, HTML5, CSS, AJAX, Javascript, JQuery
- Good Understanding of Agile- SCRUM methodologies.
- Thorough knowledge in OOPS Concepts
- Preferred Knowledge in MVC Framework

Frontend Developer needed urgently for 2 months. The candidate should have a minimum of 2 years of hands-on experience in React, with the Next.Js framework.
This is a contract-based job for 2 months, but we may also offer a full-time job based on the performance.
About Digirex:
DIGIREX is an IT consulting and software services company delivering complex custom
software solutions on a variety of technology platforms to organizations across industry verticals.
Love working with influencers and using social media?
We are seeking a digitally savvy, experienced marketing mind to develop and execute our influencer marketing strategies and creative social media campaigns.
The intern is responsible for planning social media calendars, collaborating with in-house designers to create social media posts, assisting the social media team with brainstorming campaigns, monitoring and posting on blogs and social networks, engaging in online forums, participating in online outreach and promotion, optimizing our website, and conducting keyword analysis. Those looking to gain valuable online media experience with an established organization are encouraged to apply.
Interest and passion for Health, Wellness & Fitness industry is a must!


