QA- Automation Test Engineer

Full Time @ Anywhere in India

 

3+ years

• Taking an active role in architecting the solutions we build
• Designing and implementing web applications using JavaScript and its frameworks (i.a. React, Vue, Angular), HTML5 and CSS3
• Working closely with the dispersed development team, client, and project manager in SCRUM methodology
• Ensuring that programming practices and code quality are respected
• Supporting other engineers with your expertise when needed (knowledge sharing)
• Leading your colleagues’ growth and development

• 2+ years of experience with JavaScript (good knowledge of ES2016; newer versions and TS 3+ are a plus)
• Experience in developing web applications using Angular2+ and another modern framework
• Being comfortable HTML5 and CSS3
• Experience with version control systems, preferably Git
• Demonstrated tech leadership in a medium-sized team, and the ability to design a really complex system
• Eagerness to learn and constantly improve yourself
• Being a team player focused on getting things done

• Experience with React.js and Node
• Experience with AWS or GCP infrastructure
• Curiosity about new languages, libraries, frameworks
• Contributions to open-source projects

• Passionate about making an impact
• Self-driven & eager to learn new technologies
• Intellectually curious, interested to build complex systems
• Thrive in a highly independent, remote-first environment
• Keen to work with a globally diverse team

• Hybrid Work Option - Step out when you “want to” not when you “have to”
• Work from the comfort of your home or work at the office
• Support for setting up Home-office
• Flexible Work Hours -Work-life balance becomes a lot easier to maintain with the flexibility to plan your work hours 
• Flexible Leave policies
• Life needs a break - casual, parental, sick, or just random. To help you enjoy your leaves without guilt or excuses, we have a ‘no approval needed’ policy
• Health and Wellness - Constant encouragement to stay fit
• We encourage and support our team members to participate in memberships that promote team member health (physical, emotional, and psychological) and fitness
• Reimbursements for medical support
• Career ladder: the freedom to design your own path
• Well defined career ladders to grow, assess and explore your professional journey
• Learning opportunities
• In house learning platforms to partner with you in your growth story
• Wide range of courses and certifications

Frontend developers | 2 - 6 Years (React/React Native, Vue.js, Angular.js)
The Role:
You are a ReactJS / React Native Developer passionate about building world-class mobile and web applications with performant backend and glitch-free experience. You will be part of a team which will be delivering technology that enhances the in-app experience for our users and enables our development team s to build mobile apps easier, faster and more efficient. You will build compelling and engaging applications for Web and Mobile platforms. Employing your experience in latest ReactJS, React Native, HTML / CSS / Flexbox with discipline in collaboration and pair programming. Our clientele majorly comprises of BFSI companies, so experience in Financial Applications and enterprise data security will be a big-plus.
Responsibilities:
• Contribute to an Agile team to build web and mobile applications, APIs, SDKs and other tools as required
• Collaborate with various teams within Iorta to realize the requirements for the project and
Rapidly deliver iterative solutions
• Provide task plans and follow trends in technology and suggest new approaches to application design and development
• Review and evaluate designs for compliance with development guidelines
•. Implement best practices and methods to improve the development process within the
team and organization

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

NetSysCon is responsible to identify key leadership roles for our client which is a global tech start-up backed by strategic investors around the world. They have partnered with major airlines and entertainment brands such as Disney Theatrical Group, Qantas, Iberia, Alaska, Malaysia Airlines, Vistara, IndiGo, Volaris, and others. Their platform offers innovative tools to drive revenue, operational efficiency, and digital shopping conversion.

Job Profile:

The Customer Success Manager will be a global evangelist for the platform and ensure all customers understand the value that the platform offers.
You will be the primary point of contact to ensure customers implement and derive maximum value from the platform.
Owning every aspect of the lifecycle of a customer; working with them through implementation, launch, ongoing account support, and working with the Director of Customer Success to eventually grow the relationship.
Building strong relationships with our customers and influencing key decision-makers to adopt our best practices.
Understanding the specific goals of our individual customers, and how our platform can help them achieve those goals.
Collaborating with the engineering team to communicate the critical priorities of our customers, and to relay back appropriate timelines for completion.
Maintaining regular communications (usually weekly) with customers, providing them with success metrics, gathering feedback for product enhancements, and understanding any of their concerns.
Managing the majority of written and verbal communication with our customers, both when things are going well and when they aren't.
Performing detailed analysis to drive actionable insights for our customers.
Keeping track of potential risks with our individual customers, developing mitigation strategies, and taking ownership of the outcome.
Available to work at hours suitable to our customers in a broad range of time zones
Travel will be required. We estimate 1-2 weeks of international travel per month.

Requirements:
A demonstrated track record of success as a Customer Success Manager, ideally with an early-stage SaaS company working with a smaller group of clients and large deal sizes
Strong written and verbal skills, comfort navigating uncomfortable situations, exceptional "diplomacy" skills and emotional intelligence
An advanced level of Excel knowledge (experience in QuickSight, think-cell and SQL are a plus)
Familiarity with (or a strong interest in) the airline/travel / entertainment industries is desirable
English fluency, and fluency in Spanish and/or Portuguese not required but are a plus

Duties And Responsibilities

Coding backend for a stock analysis platform in Nodejs. You don’t.t need any experience or understanding of stocks for this position.
Nodejs - candidate must have good experience working with Nodejs and have a deep understanding of space -time complexity for writing optimized code in typescript
Typescript- candidate must know typescript and have good experience with it.
MongoDB and PostgreSQL - candidate must have experience working with both technologies. understanding of both technologies and designing scalable and optimized database structures

We’re looking for a team player, who is motivated by delivering great work. Some of the skills and experience we look for includes:

• Builds and maintains relationship with talent pool in regional markets
• Opens and manages requisitions throughout recruiting lifecycle
• Manages candidate database, including resumes and applications
• Assesses recruiting service request and confirms talent needs with Business and Hiring Manager
• Identifies recruiting channels and target talent pools and conducts search for candidates
• Captures applicant information into recruiting database, maintaining database for future reference
• Prepares and shares candidate communications throughout recruiting lifecycle
• Provides candidate logistics support during hiring process, including coordination of candidate interviews and screening
• Screens candidates, including review of application and resume along with conducting assessments and interviews in partnership with Hiring Manager
• Serves as a point of escalation for inquiries and redirects the resolution of complex or unusual talent acquisition inquiries to the Talent Acquisition COE
• Provides inputs on recruiting operations and execution improvements to Talent Acquisition Lead and Talent Acquisition COE

LEAD ERP DEVELOPER ODOO PYTHON

Qualifications & Skills 
• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed
University
• 5 to 8 years of experience working in Python in ERP domain, specifically at-least 4-6 years of experience working in Odoo and APIs
• React and/or Angular for front end, XHTML, HTML 5, JavaScript, CSS, Ajax,jQuery
• Proficiency in MySql
• Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS

2
• Integration experience with REST API, Payment gateway, shipping company and VAT,
database concepts, Experience of web services
• Experience in performance profiling, tuning, and optimization, caching mechanisms with
Enterprise level applicants
• Analytical, debugging, and troubleshooting skill with proven experience troubleshooting
and fixing production bugs
• Experience in writing unit testing and test case automation.
• Ability to operate in Agile environment with a start-up mentality and unstructured
environment, Energy, drive and passion to work, and operate in a digital world.