
Role – SDET
Experience – 4+ years
Location - Bengaluru
Key Skills - API test automation, Java, Rest Assured
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Minimum 3+ years of API test automation experience
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Strong Programming experience on Java using OOPs, collections, exception handling, and strong debugging skills
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Strong testing and test design skills like scenario identification, test case identification, defect identification with a focus on test coverage
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Strong experience in testing of API / webservices
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Excellent experience and skill in the development of API test automation suites using Rest Assured
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Good experience of working on Jenkins and other CI-CD tools
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Knowledge of Dockers
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Strong knowledge of SQL and experience in database testing is desirable
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Good communication skills (verbal and written) is a must

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JOB DISCRIPTION: -
We are looking for a passionate sales executive to join our sales team. The sales executive
responsibilities include generating leads, making sales calls, continuously updating our CRM
database, and meeting sales targets.
To be successful as a sales executive you should be an inspired self-starter and able to drive sales
growth. Ultimately, a top-notch sales executive should be able to build relation with customers
and close sales.
Sales Executive Responsibilities:
Setting sales goals and developing sales strategies.
Researching prospects and generating leads.
Contacting potential and existing customers on the phone, by email, and in person.
Preparing and sending quotes and proposals.
Meeting daily, weekly, and monthly sales targets.
Participating in sales team meetings.
Selling wealth management products to the customer
Responsible for Managing Sales Target
Communicating with Customers, Ensuring Sales Growth
should generate revenue of 2-3 times of the cost
Incentives will be paid on a monthly basis which will add additional payment along with salary
Role: Angular Developer
Positions: 4
- Experience 3 to 5 years
- Strong front-end development skills, experience with JavaScript libraries/frameworks mainly Angular JS Preferably Version 7 or Version 5
- Experience working with server-side JavaScript Frameworks and build tools (node.js, bower, grunt, gulp)
- Demonstrable experience developing large-scale applications using one or more MV* patterns (MVVM, MVC, MVP)
- Expertise in developing single page web applications using front-end routing, consuming JSON-based RESTful APIs, client-side templating
- Strong competency in responsive layouts leveraging CSS and media queries and related UI frameworks (e.g., Bootstrap, Foundation)
- Experience with CSS preprocessors (e.g., Sass, LESS)
- Experience with code analysis tools (e.g., JSLint, JSPerf)
- Practical knowledge of web page optimization techniques and guidelines for fast page load times
- Strong understanding of Ajax and/or promises
- Experience working in an agile, multidisciplinary team.
- Experience working with a distributed version control system (git, mercurial)
- Experience writing unit tests in one or more of the following: karma, mocha, chai, sinon, jasmine, jest
- Experience working on AWS. Basic understanding of Security Groups/ VPC etc.
- Experience on working with & integrating with microservices
- Experience on developing/ using CI/CD pipeline using Jenkins/ Git
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.
Full Stack – Software Developer
About us
Villa Plus is UK's leading villa holiday tour operator, providing holiday makers the ability to book their own private villas across Europe. Customers have a choice of close to 2000 villas in 19 destinations with option of booking flights, car hire, transfers and travel insurance. Over the last 33 years Villa Plus has catered for holidays for nearly 200,000 customers and it manages about 50,000 bookings annually online.
Our digital platformhttp://www.villaplus.com/">, http://www.villaplus.com/">www.villaplus.com runs totally in Azure Cloud. A headless CMS platform is used for non-villa marketing content. Ash software is value-added partner and technical arm of Villa Plus which aims at delivering delightful experience to customers.
Qualification
- Bachelor / Masters degree in Computer Science or Computer Engineering
A good team player with expertise working as part of Agile teams. Hands-on experience in practicing Scrum, XP and Kanban. Hands-on experience in Microsoft .NET technology stack is a must
- Strong hands-on experience in web development using ASP.NET MVC and C#
- Usage of SQL and no SQL databases
- Hands on experience in test-driven development and DevOps practices
- Understanding and following OOAD, SOLID principles using C#
- Well-versed with pair-programming
- Working on solutions hosted in cloud environments (Azure or AWS)
- Implementation of continuous delivery processes
- Usage of Git
The following would be beneficial:
- Understanding of behavior-driven development and domain-driven design
- Experience in :
- .Net core, Web API
- Scripting Languages like JavaScript
- Frontend: Angular7
- Automating business processes
- Integration with 3rd party systems
- Content management
We are looking for an experienced top-notch Software Engineer to grow with our development team. As a Node.js engineer, you will be involved from conception to completion with projects that are technologically sound and impactful.
What you will do:
- Work on existing software solutions or new systems on the specified programming language.
- Translating designs and wireframes into high-quality code.
- Ensure the best possible performance, quality of the solution you are working on.
- Working closely with business analysts, software engineers, product managers, designers and other stakeholders.
- Write well-designed and efficient code by adhering to the specified coding standards.
- Mentor and support other team members by doing code reviews and applying your experience in process and technical leadership.
- Document the development process, architecture, and standard components.
Requirements:
- Minimum 2 years of work experience as a Software Engineer(Node.js).
- Good knowledge of SQL and related databases.
- Proficient in Node.js, Javascript, AJAX, jQuery, JSON, CSS and HTML.
- Knowledge of object-oriented programming.
- Knowledge of the Front-end and Back-end processes.
- Knowledge of web development, continuous integration, and cloud technologies
- Proficiency with RESTful APIs to connect applications to back-end services.
- Flexibility to switch to a new programming language as and when required.
- Ability to own a product and deliver exceptional quality.
- Analytical capabilities and logical approach to problem-solving.
- Familiarity with software development lifecycle and agile methodology.
- Good at writing understandable, testable code with an eye towards maintainability
- Proficiency in software engineering tools.
- Have system-level thinking and the ability to develop a system as a whole.
- Bachelor's degree in Computer Science Engineering or any other relevant course.
- Good communication skills - including the ability to convey information to non-technical team members in a concise and clear way.
- Ability to understand the end-user.
Benefits:
- Impactful Projects: At Synoriq, you get to work on exciting projects that create a huge impact in the lives of common people. You get exposure to the various domains we work in - be it the financial sector or the government sector. With projects of such scale, we work on the latest and most popular technologies in the market.
- Great Nucleus of Minds: You get to work with the smartest people and learn together. Our team is a bunch of talented designers, engineers, singers, storytellers, and dancers.
- Fun: We understand that theres a life outside the office too. We offer flexibility in the work schedule and work from home so that you give your best every day.
- Leadership Initiatives: We promote the overall development of an individual and help you realize your professional goals. There are ample learning opportunities providing exposure in different domains and working in cutting-edge technology.
Solinas Integrity (www.solinas.in) is a leading water & sanitation robotics start-up founded by IIT Madras Alumni & professors to develop cutting edge solutions to solve the problems in water pipelines and sewer lines\septic tanks, thereby improving the lives of millions of people. Our core values start with trust, and respect for everyone and along with strong collaboration and communication. We believe in giving agency to our teammates and strongly pushing them towards developing a growth mindset.
Duties and Responsibilities:
- To develop and improve signal processing algorithms for analysis of acoustic signals with up-to-date knowledge on processing methods.
- Understand key acoustic algorithm functions, develop efficient code, verify performance and functionality.
- Exposure to all phases of software development life cycle (concept, design, implementation, test, and production).
- Propose innovations to improve performance, quality, etc.
- Work with peers to develop excellent, structured code, well-optimized and easily maintainable.
Basic Qualifications:
● Experience programming in either Python, C++, or MATLAB
● MS/PhD degree in Electrical/Electronics Engineering/ Signal processing
● At least 1 year of signal processing or related area
● Good analytical and problem-solving skills
● Good knowledge of signal processing techniques, basic knowledge of ML algorithms and good visualisation skills.







