Telesales Representative

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

Job Title: System Engineer

Responsibilities include, but are not limited to:

· Understand Mobile SoCs architecture across different Multimedia and Connectivity applications

· Evaluate Memory/Storage architecture on mobile platforms and develop architectures to improve

· Innovate new solutions to complex multi-disciplinary problems by collaborating with other team members

· Identify new mobile workloads that will define memory/storage usage in future products

· Evaluate and present architecture trade-offs impacting memory/storage subsystem performance and power

Successful candidates for this position will have the following:

· Bachelors/Master’s degree in Electronics and/or Computer Engineering or Computer Science or related field

· 4-8 years of work experience in the Mobile ecosystem

· Hands-on experience Power and Performance Analysis

· Good understanding of Mobile SOC system and Android system

· Good understanding and experience on system Benchmarking and multimedia applications

· Good understanding of the Storage subsystem with hands on experience on Host side drivers

Preferred Skills:

· Strong Mobile Platform SW and HW knowledge

· Strong working knowledge of DRAM, NAND, and other memory/storage devices

· Strong understanding of architecture in multimedia and connectivity use cases

· Experience in C++, Python, or other System programming language

1.     Significant experience of working in front-end web development
2.     Extensive programming experience in HTML5, CSS3, SASS or LESS, and Bootstrap, Foundation or Materialize
3.     Angular Material, Chart Libraries(D3, Leaflet, Amchart etc).
4.     Solid understanding and development experience in Angular
5.     Experience with Typescript
6.     Experience with tools like Redux, Webpack, Angular CLI and/or Gulp
7.     Experience consuming REST APIs

DevOps Engineer, Plum & Empuls 

As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.

Key Responsibilities

• Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Working on Docker images and maintaining Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Working on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
• Required Technical and Professional Expertise.
• Minimum 4-6 years of experience in IT industry.
• Expertise in implementing and managing Devops CI/CD pipeline.
• Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
• Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
• Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience with working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience and well versed with Jira tool is a plus.

We are

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, San Francisco, and Dublin. Empuls works with over 100 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

Way forward

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status

• Involvement in the overall application lifecycle
• Design and develop software applications in Scala and Spark
• Understand business requirements and convert them to technical solutions
• Rest API design, implementation, and integration
• Collaborate with Frontend developers and provide mentorship for Junior engineers in the team
• An interest and preferably working experience in agile development methodologies
• A team player, eager to invest in personal and team growth
• Staying up to date with cutting edge technologies and best practices
• Advocate for improvements to product quality, security, and performance

Desired Skills and Experience

• Minimum 1.5+ years of development experience in Scala / Java language
• Strong understanding of the development cycle, programming techniques, and tools.
• Strong problem solving and verbal and written communication skills.
• Experience in working with web development using J2EE or similar frameworks
• Experience in developing REST API’s
• BE in Computer Science
• Experience with Akka or Micro services is a plus
• Experience with Big data technologies like Spark/Hadoop is a plus company offers very competitive compensation packages commensurate with your experience. We offer full benefits, continual career & compensation growth, and many other perks.