Proposal Engineer

• Ruby

• Rails framework

• MySQL

• API development

• Design Patterns

Develop, test, and maintain all APIs

• Manage and maintain SQL and No-SQL tables, data, and stored procedures within all databases

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement

• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive code to enhance the user experience and support analytical products

• Troubleshoot and diagnose production issues

With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO) and the Russell 2000® Index. For more information visit www.quantum.com.

As a Software Engineer, you will collaborate with engineers and product managers on the development and maintenance of Quantum’s DXi-Series of disk-based backup appliance software. Quantum’s DXi series protects our customers data on premises, in the cloud, or in a hybrid environment.

You Are A Part Of:

DXi is a uniquely powerful solution within the Quantum portfolio, allowing customers to meet and exceed their backup needs with one of the fastest products on the market. You’ll work on a product that allows customers to reduce costs, maximize production, scale with ease, and positively impact the environment by reducing power and cooling requirements.

Job Responsibilities:

Responsibilities include, but are not limited to:

• Write code primarily for Linux systems, with programming languages including Python, C, C++, and Perl.

• Design and build differentiating feature sets that continue to expand product capabilities, both on premises and in the cloud.

• Work with development, test, service, and support engineers to develop tactical solutions for customer issues.

• May design and develop automated test suites.

• May maintain lab equipment.

Required Skills and/or Experience:

• Bachelor’s degree in Computer Science, Information Technology, or related field of study required.

• 5-10 years related industry experience required.

• 5+ years software development in C or C++ is required.

• 3-5 years’ experience working in a Linux environment is required.

• Experience in writing scripts: Perl, shell, bash, and/or other scripting tools is required.

• Experience with debugging tools such as GDB is required.

• Experience with source control and shared build environments is required.

Responsibilities:

.Create exclusive distributors, exclusive super stockists and business associates for the company towards business growth.

.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.

.Keep abreast with stock reports, inventory, product orders, re-order etc.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills.

.Excellent organizational skills.

.Proficient in Word, Excel, Outlook, and Powerpoint.

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

• Taking brand ownership and managing brand strategy, PR activities
• Collaborating with external stakeholders and internal teams to establish superior brand positioning and a strong value proposition to our target group, defining our corporate identity
• Strategizing and drafting all external communication material for corporate partnerships, website, public relations and media
• Translating brand strategy into the brand plan and go-to-market strategy
• Working closely with the Marketing team
• Ensuring content meets business objectives while adhering to brand guidelines

Desired Candidate Profile

• Master's/ Bachelor's degree in journalism, marketing, public relations, or communications
• 1-3 years of experience in content writing; experience in digital content would be a plus
• Superior writing, editing, and verbal communication skills
• Solid written and verbal communication skills
• Ability to craft and deliver key messages to a variety of audiences
• Reputation for being a grammar Nazi
• Ability to identify and leverage opportunities to advance the team's communications objectives in creative and memorable ways that utilize a variety of media
• Ability to manage multiple projects and engagements simultaneously

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.