Digital Marketing Guru

• Strong B2B Product Manager Profiles
• Mandatory (Experience 1) - Must have 4+ years of experience with 2+ years as a Product Manager
• Mandatory (Experience 2) - Must have experience working in early-stage products (with early stage startups or in big startups/companies driving 0-to-1 product development and building MVPs)
• Mandatory (Experience 3) - Must have hands-on experience in writing PRDs, BRDs, user stories, and maintaining product documentation for cross-functional teams.
• Mandatory (Company) - Product companies only (B2B preferred)

Preferred

• Preferred (Experience) – Prior experience as a developer or tech role is a plus

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

We are looking for a Ruby on Rails Developer who is dedicated to the craft, writes code that they are proud of, and can hit the ground running.

You will write beautiful Ruby to a high standard, in a timely and scalable way that improves the code-base of products in meaningful ways.

You will be a part of a full-stack team that is responsible for all aspects of the ongoing software development from the initial specification, through to developing, testing and launching.

• Contribute to all phases of the development lifecycle
• Design, build and maintain efficient, reusable, and reliable Ruby code
• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and automatization
• Ensure development is in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• BSc/BE/BTech in Computer Science, Engineering, or a related field
• 4+ Experience with Ruby on Rails, along with other common libraries such as RSpec and Resque
• Good understanding of the syntax of Ruby and its nuances
• Solid understanding of object-oriented programming
• Good understanding of server-side templating languages such as Liquid, Slim, etc
• Good understanding of server-side CSS preprocessors
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Familiarity with concepts of MVC, Mocking, ORM, and RESTful
• A knack for writing clean, readable Ruby code
• Ability to integrate multiple data sources and databases into one system
• Understanding of fundamental design principles behind a scalable application
• Able to create database schemas that represent and support business processes
• Able to implement automated testing platforms and unit tests
• Proficient understanding of code versioning tools (Git)
• Familiarity with development aiding tools{such as Bower, Bundler, Rake, etc
• Familiarity with continuous integration
• React experience is good to have

JOB SUMMARY

Looking for a candidate to join a team involved in solving challenging problems in the ecommerce domain. We are seeking candidates having hands-on experience working with Hybris-based implementations.

PRIMARY RESPONSIBILITIES

As a Senior Developer – Hybris, you will translate client requirements into technical designs, design schemas, implement custom extensions, create product and product variants and integrate with search engines, unlocking the business value of Hybris.

You will independently drive design decisions to ensure the necessary health of the overall solution.

You will teach, mentor and share knowledge, improve processes and develop systematic solutions to problem patterns.

• Develop Digital Consumer experiences based on a foundation of Hybris.

• Design and develop awesome features such as product search & navigation, order management, promotions, store locator, social ecommerce, back-office customization, etc.

• Diagnose and solve technical problems related to commerce and Hybris implementation.

• Interact with clients to create end-to-end specifications for ecommerce solutions.

• Provide inputs and direction to associates in the team on design and implementation.

• Collaborate with your architect to define implementation processes and quality gates and standards.

• Write application code that exceeds the defined quality standards by using best practice

• Review design and code for your peers

SECONDARY REQUIREMENTS

A good Hybris Senior Developer:

• Is aware of the different front-end technologies including HTML, CSS, JavaScript, jQuery, Angular4 and React

• Knows the DevOps processes and technologies including Jenkins, Ansible, Chef, etc.

• Understands Agile Software development methodology