Education Requirements:

• Bachelor's degree in Computer Science or a related field

Experience Requirements:

• 2+ years of experience in software testing and automation framework development

• Proficiency in test frameworks such as Postman, Selenium, and Puppeteer

• Solid coding skills in Python and TypeScript

Responsibilities:

• Lead the QA process for our releases

• Develop automated tests for APIs

• Create automated UI tests

• Collaborate with the DevOps team to design and build test automation frameworks

• Continuously enhance testing processes

Benefits:

• Competitive salary and benefits

• Opportunity to work with state-of-the-art technology

• Flexible working hours

• A dynamic and collaborative work environment

• Excellent career growth opportunities

Education Requirements:

• Bachelor's degree in Computer Science Engineering

Experience Requirements:

• Minimum 2+ years of professional experience with at least 1 year of Product Management experience

Other Requirements:

• Excellent communication skills

• Strong relationship builder

• Experience diving deep into complex problems and using data to drive decisions

• High agency and ownership mentality

• Experience with internal tools development is beneficial but not required

• Keen interest in leveraging ongoing advancements in AI

• Bonus: Experience in building operational dashboards and workflow automation tools

Responsibilities:

• Evolve a short-term and long-term product vision & roadmap

• Drive product development

• Support the development of internal tools and dashboards

• Manage & coordinate with concerned teams

• Work closely with the Product lead and Founders on prioritisation of tasks & projects for every sprint

Benefits:

• Competitive salary and benefits

• Opportunity to work with cutting-edge technology in AI

• Flexible working hours and remote work options

• A dynamic, collaborative, and inclusive work environment

• Excellent career growth opportunities

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field

Experience Requirements:

• 3+ years of experience as a Cloud Engineer or similar role

Other Requirements:

• Extensive experience with cloud platforms (preferably Azure)

• Proficiency in tools such as Terraform, Docker, and Kubernetes

• Strong experience in automating cloud infrastructure and workflows

• Proven ability to design cloud solutions

• Expertise in implementing security best practices

• Strong analytical skills

Responsibilities:

• Customer Deployment

• Solution Design

• Automation & IAC

• Scalability & Optimization

• Collaboration

Benefits:

• Competitive salary and benefits

• Opportunity to work with cutting-edge technology in AI

• Flexible working hours and remote work options

• A dynamic, collaborative, and inclusive work environment

• Excellent career growth opportunities

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field

Experience Requirements:

• 1+ years of experience as a Cloud Engineer

Other Requirements:

• Experience with cloud platforms (preferably Azure)

• Proficiency in tools such as Terraform, Docker, and Kubernetes

• Experience in automating cloud infrastructure and workflows

• Proven ability to design cloud solutions

• Strong written and verbal communication skills

Responsibilities:

• Customer Deployment

• Solution Design

• Automation & Infrastructure as Code

• Scalability & Optimization

• Collaboration

Benefits:

• Competitive salary and benefits

• Opportunity to work with state-of-the-art technology

• Flexible working hours

• A dynamic and collaborative work environment

• Excellent career growth opportunities

Education Requirements:

• Bachelor’s Degree in Engineering

Experience Requirements:

• 5+ years of experience as a Quality Assurance Engineer

• 2+ years of experience in leading a team of Quality Assurance Engineers

Other Requirements:

• Hands on exposure to Quality Assurance automation tools

• Critical thinking and problem-solving skills

• Attention to detail

• Excellent analytical and multitasking skills

• Excellent communication skills

Responsibilities:

• Own the Quality Engineering or Lead a team Quality Assurance Engineers

• Prioritise and plan testing activities

• Review and analyse requirements

• Develop test plans and test cases

• Identify and report issues

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• An Engineering/Master’s Degree from a reputed institute

Experience Requirements:

• 8+ year of experience in the B2B/SaaS/Enterprise domain

• 6-10 Years Experience

• 3 - 5 Years Experience

• 0.6-4 Experience

• 8-15 Experience

Other Requirements:

• Ability to engage and influence key stakeholders in accounts

• Effective in performing technical/functional activities required during pre-sales stage

• Experience in Solution/Concept selling (CRM/ ERP/ Enterprise/ Contact Centers/ SaaS/ CPaaS Solutions)

• Should be comfortable in understanding and explaining technology and solutions with a consultative approach

• Excellent communication, presentation, and negotiation skills

• Self-motivated and results-driven with a passion for sales

• Ability to work independently and as part of a team

• Strong problem-solving and decision-making skills

• Ability to work independently in a fast-paced & dynamic environment

• Proficiency in Gujrati, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Identify, prospect & qualify the potential sales opportunities of our products offerings in the Large Enterprises segment in the assigned geography/region/industry vertical and achieve the sales revenue targets

• Build and maintain a robust sales pipeline and consistently track progress

• Create/maintain excellent relationships with potential customers at CXO level executives

• Assist in conducting product demonstrations and articulate the value proposition of our solutions

• Collaborate with cross-functional teams, including Marketing and Product, to align sales efforts with company goals

Education Requirements:

• Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.

• Current BS or MS student or recent graduate. CS major is a plus

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.

• BS or MS in Computer Science or related field

Experience Requirements:

• Strong understanding of data engineering principles using big data technologies

• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus

• Experience with distributed computing using Hadoop and Spark

• Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue

• Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• BS or MS in Computer Science or related field

Experience Requirements:

• React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s

• Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design

• Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus

• Contribute with ideas to overall product strategy and roadmap

• Improve codebase with continuous refactoring

Responsibilities:

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Experience Requirements:

• 5 - 7 years

Experience Requirements:

• 8 - 12 years

Experience Requirements:

• 2 to 4 yrs

Experience Requirements:

• 1 to 2 yrs

Benefits:

• Certificate

• Flexible Working hrs.

• 5 days a week

• Free Snacks & Beverages

• Informal dress Code

Education Requirements:

• Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Other Requirements:

• Proficiency in programming languages such as Python or R

• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or similar tools

• Knowledge of SQL for database querying

• Basic understanding of machine learning concepts and algorithms

• Strong analytical and problem-solving skills

• Excellent communication and teamwork abilities

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data for analysis

• Explore data to identify trends, patterns, and insights

• Support the development and implementation of predictive models and machine learning algorithms

• Perform statistical analysis and hypothesis testing to support decision-making

• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions

Education Requirements:

• Bachelor's degree in Marketing, Business, or related field

Experience Requirements:

• 1-3 years of experience in demand generation, digital marketing, or a related role

Other Requirements:

• Proven track record of executing successful marketing campaigns with measurable results

• Experience with marketing automation tools and CRM systems (e.g., Salesforce, HubSpot, Pardot)

• Strong analytical skills and ability to interpret data to optimize campaigns

• Excellent communication and project management skills

• Ability to work collaboratively with cross-functional teams

• Experience with SEO, SEM, PPC, and paid social campaigns is a plus

• Must have experience in B2B or E-commerce space

Responsibilities:

• Develop and execute multi-channel demand generation campaigns (email marketing, content marketing, social media, paid advertising, etc.)

• Collaborate with content, product marketing, and sales teams to create targeted marketing strategies

• Manage and optimize campaigns for lead acquisition, nurturing, and conversion across various platforms (LinkedIn, Google Ads, Facebook, etc.)

• Monitor and analyze campaign performance metrics, providing actionable insights for improvement

• Leverage marketing automation tools (HubSpot, Marketo, Pardot, etc.) to nurture leads and manage the customer lifecycle

Experience Requirements:

• 1-3 years of business development experience in SaaS for Retail/D2C companies

• Must have experience working with international markets such as North American and European markets

Other Requirements:

• Clear, concise, and effective written and oral communication skills

• Empathy towards customers and understanding their needs

• Interest, curiosity, and openness to learning new technologies

• Good interpersonal skills and ability to collaborate with internal stakeholders as well as end customers

• Learning mindset and the right attitude will help you thrive and adapt in a fast-paced, performance-driven environment

• Ability to multi-task and manage your tasks effectively

Responsibilities:

• Generate qualified opportunities for the company by rigorously prospecting and researching in the assigned region/market using modern tools

• Do rigorous research on companies to assess opportunities

• Strike and initiate conversations, set up meetings & demos with relevant personas of companies you are prospecting

• Identify and implement the right sales techniques to close the deals

• Maintaining a strong relationship with the client and advising them on issues related to the market and offering solutions on the same

Benefits:

• Competitive salary and bonus structure

• World-class Medical & Accidental coverage

• Internet reimbursement

Education Requirements:

• BE/B.Tech/MS

Experience Requirements:

• 5-7 Years

Other Requirements:

• MySQL Database Administrator certification is mandatory

Responsibilities:

• Install, configure, and upgrade MySQL database software and related products.

• Design and implement database backup and recovery strategies to ensure data integrity and availability.

• Monitor database performance and recommend optimizations for improved efficiency.

• Troubleshoot database-related issues and coordinate with development teams for resolution.

• Implement and maintain database security policies and procedures, including access control and data encryption.Perform database tuning and capacity planning to support growing data needs.Collaborate with other IT teams to integrate database systems with applications and infrastructure components.Create and maintain documentation related to database configurations, processes, and procedures.Stay updated with the latest database technologies, trends, and best practices

Benefits:

• A vibrant and inclusive work environment.

• Collaborative and innovative work environment.

• Continuous learning and training opportunities

• Hyper growth opportunity

Experience Requirements:

• 8+ Years

Other Requirements:

• CPMA certification

Responsibilities:

• Performing daily audits and sending daily audit reports within 48 hours

• Preparing weekly and monthly dashboards

• Providing effective and constructive feedback to agents to improve their performance

• Conducting weekly briefing sessions and refresher trainings as required

• Coordinating with operations teams on process updates

Benefits:

• A vibrant and inclusive work environment.

• Collaborative and innovative work environment.

• Continuous learning and training opportunities

• Hyper growth opportunity

Experience Requirements:

• 8+ Years

Benefits:

• Competitive salary and bonus structure

• World-class Medical & Accidental coverage

• Internet reimbursement

Education Requirements:

• BE/M.Tech degree required with technical focus (e.g. mathematics, computer science, physics, statistics)

• MS or PhD degree preferred

Experience Requirements:

• 7-10 years

Other Requirements:

• Knowledge of R and AI/ML is a must

Responsibilities:

• Execute the data vision strategy and goals ensuring those are consistent with the business requirements.

• As part of the Data Science team, help develop analytical capabilities, data products and tools to enable data query and deliver solutions to business requests

• Contribute and provide thought leadership to the business and key stakeholders.

• Develop new approaches to understand and solve complex business problems such as optimizing product performance and adoption.

• Generate actionable audience insights using advanced statistical techniques such as predictive statistical models, audience profiling, segmentation analysis and test design, exploratory analysis and data mining

Benefits:

• Challenging Projects

• Entrepreneurial Team

• Autonomy in Work

• Learning Sessions

• Networking events

Education Requirements:

• Bachelor's degree in Computer Science Technology, or a related field

• Master's degree in Computer Science Technology or computer application is an added advantage

Experience Requirements:

• 3-6 years of experience in Data Engineering, Database management, Data structures & ETL development

Responsibilities:

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, EMR/Snowflake, Redshift/Bigquery and AWS/GCP ‘big data’ technologies.

• Maintaining the high volume and compute data pipelines and ensuring that process is not interrupted

• Hands on Hadoop, SPARK and other relevant Big Data technologies

• Develop algorithms to transform data into useful, actionable information

• Build, test, and maintain database pipeline architectures