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Want to work with an established & growing IT company? Join team Benison to have the right challenges that will help you accelerate your career growth to the next level, faster!   

Benison Technologies was started in 2011 with a mission to revolutionize the silicon industry in India, with a host of amazing big clients like Google, Cisco, McAfee, Intel, and so on, you get to experience the best of both worlds. If you consider yourself an engineer who is capable to join our ever-growing team, then this is the right opportunity for you:  

  

Why Benison Tech?   

We have a partial acquisition from one of the biggest names in the world (well we can’t name them thanks to confidentiality) it’s one of the FAANG companies, and you can “Google” it if you like.  

Oh! & one more thing, this did not happen by accident, our team put a ton of efforts to turn this gigantic dream into a reality.  

Benison Tech has a consistent history of demonstrating growth through innovation time and again.   

We don’t stop there, we then re-invest our profits back into the initiatives for the growth of our people, our culture and the company. Now enough with us, let’s talk about the job roles & responsibilities:    

  

What you will be working on: 

• Key contributor for developing product strategies and features. 
• Software development for industries leading SaaS platform 
• You will be involved closely in planning, designing, integration of client requirements. 

• You will be working with one of the leaders in data resiliency and data protection. 

  

Here are some technical skills require:  

• Independently own features and create feature test plans/strategies based on development and feature completion milestones.   
• Identify quality assurance process bottlenecks and suggest actions for improvement.   

• Design automation framework for automating feature tests.   
• Participate in test cases, test plans, s and code reviews.  
• Resolve functional queries coming from other business units such as support, escalation, product management, etc.   
• Participate in bug trailing, tracking quality assurance metrics.  
• Hands-on experience with Python-Selenium or Cypress, will be preferred.   

• Familiarity with Test Management systems like XRay and bug tracker like JIRA tools.  

  

What we expect from you:    

• 3-10 Years of relevant experience in QA Automation.   
• Expert at test automation, creating test plans, test strategies for testing multiple product modules   

• Should be able to quickly analyze failures and trace back to issues in the product or the automation suite.  
• As a Software Development Engineer in Test you should be an expert at test automation for APIs as well as UI, creating test plans and test strategies for testing product features.  
• You will guide and mentor junior team members by reviewing their automation code and test cases to ensure good coverage and quality of a feature  
• Resolve functional queries coming from other business units such as support, escalation, product management, etc.  
• Be a quick learner and be open to working on new technologies if needed.    

• Excellent team player with strong verbal & written communication skills.    
• Be able to step up when the situation demands such as meeting deadlines and critical production issues.    
• Propose changes or enhancements to the framework for enabling new feature tests.  

  

 Few Skills which will add brownie points to your role  

• Working knowledge of Dockers and Kubernetes will be an advantage   
• Awareness of general manual and automation concepts and all types of testing methods  
• Knowledge of the Backup or Storage domain will be an advantage.  

  

If the above fits your skill-sets and tickles your interest then read below about the additional benefits that our company offers to talented folks like you:  

  

Work Culture and Benefits    

• Competitive salary and benefits package  
  (H1-B which means a chance to work onsite out of India)   
• A culture focused on talent development where you get promoted within the quarterly cycle of your anniversary.         
• Opportunity to work with cutting-edge & challenging technologies including legacy tech.      

• Open cafeteria to grab some munchies while you work, we make sure the space feels like your second home, you can also wear pyjamas if you like.         
• Employee engagement initiatives such as project parties, flexible work hours, and long service awards, team bonding activities within the company, extra learning and personal development trainings, because why stop your learning at one thing!   
• Insurance coverage: Group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and your parents. (With some of the best insurance partners in India)  
• Enjoy collaborative innovation (each members gets to innovate & think out of the box), along with highly experienced team managers who maintain diversity and work-life well-being.  
• And of course, you get to work on projects from some of the most recognised brands within the networking and security space of the world, unlocking global opportunities to learn, grow & contribute in a way that is truly impactful yet purposeful at the same time.  

  

Still not satisfied, and want more proof?  

Head to our website https://benisontech.com/">https://benisontech.com to learn more. 

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.

Company Profile

Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to
payments, lending, subscription, eKYC is happening at the same time.
We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. Easebuzz’s corporate culture is tied into the vision of building a
workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.
Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.

Job Description
We are looking for a Full Stack Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all serverside logic, ensuring high performance and responsiveness to requests from the front end.
At EaseBuzz, every individual is honed to be a leader and enjoys the freedom to make decisions that she/he sees fit to steer the organization closer towards its goals. We work insmall, decentralized teams that promote independent authority and freedom to approach
and solve problems creatively. This path nurtures the artisan in every individual and brings
to fruition the vision of crafting purpose-built solutions for clients.

Benefits

● Competitive Compensation
● Transparent, Performance Driven Culture.
● Fun, Collaborative Team Environment
● Medical Benefits & Flexible work hours Responsibilities
● Work on complex, custom-designed, scalable, multi-tiered software development projects

● Design and implementation of low-latency, high-availability, and performance applications
● Integration of user-facing elements developed by front-end developers with serverside logic
● Implementation of security and data protection
● Be responsible for the quality of software and resolving any issues regards the solution

● Think through hard problems, not limited to technology, and work with a team to realize and implement solutions

● Learn something new every day


Skills And Qualifications

● Experience in coding in an object-oriented language such as Python & its framework (such as Django, Flask, etc depending on your technology stack)
● Good hands-on experience in front end development using ReactJS / Angular JS, JavaScript, Jquery
● Well versed with database queries like MySQL or Postgres, etc and have the ability to create database schemas that represent and support business processes
● Should possess in-depth knowledge of object-relational mapping
● Proficient understanding of code versioning tools, such as Git
● Good hands-on experience in working with AWS services (EC2, S3,Serverless stack , RDS, IAM, etc.)
● Understanding of accessibility and security compliance
● Understanding of fundamental design principles behind a scalable application
● Experience in Kafka writing Consumers and Producers would be a plus point.
● Experience with AWS or GCP would be a plus point

Employment Type
Full Time

Good Understanding of Oracle apps HRMS And Fusion HCM table structures. Hands on Experience in Fusion HCM BIP report and Oracle Discoverer.Worked extensively on Oracle HRMS Inbound and Outbound interfaces for various countries.
Also, co-existence interface between Oracle apps HRMS and Fusion HCM.
Oracle Apps HRMS R12 and Oracle Fusion HCM Cloud.
:Oracle global human resources cloud 2021 implementations essentials. Payroll and Compensation Module.

Looking for a software developer to work developing web  & mobile applications for supply chain & logistics management domain. Ready to learn new things

We are searching for a Senior Full Stack developer to help us to work on our Client projects.

 

Job Responsibilities--

 

• Experience with developing real-time application & advance level web projects & mobile apps.
• Strong understanding of front-end technologies, such as HTML5 and CSS3
• Good working experience in advanced JavaScript libraries and frameworks, such as React.js, Node.js, Mobx, Bootstrap, Next.js
• Experience with working with Git(hub)
• Care deeply about clean and functional code
• Experience in Github & AWS a big plus.
• Passionate about learning and staying up to date with the latest technologies
• Are particular about details.
• Project Management Skills.

 

Benefits:

• Work from home
• Internet Reimbursement

 

Schedule:

• Monday to Saturday

 

Supplemental Pay:

• Performance bonus

 

Education:

• Bachelor's (Required)
• Masters

 

Experience:

• React: 2-3 years (Required)
• Node.js: 2-3 years (Required)
• Total Work: 2-4 years (Required)
• MongoDB: 2-4 Years years (Required)
• PHP (CI & Laravel) : 2-4 Years (Required)
• Good Project Management Skills.

Required Skills:
1. Understanding of SEO terminologies.
2. Using SEO Tools - AHrefs / SEMRush and the likes.
3. Competitor / Competition Analysis

Core competencies:
1. Proactivity: Act without being told what to do. Brings new ideas to the company.
2. Quick Learner and Attention to detail.
3. Honesty.

Location: Wakad, Pune, Maharashtra.

Candidate once selected will be have to Work from Home till 31st July 2020.
We will resume office operations on 1st August 2020.

Applicants looking for Remote Work only should NOT apply.

If you enjoy the challenges of working at a start-up and passionate about meeting new people and building strong relations then keep reading. eKincare has developed India’s first AI based personal health assistant. eKincare’s patent pending technology reads medical data from health records and various healthcare interventions to predict future health risks and provide timely personalised recommendations to beat those risks. Recognised among the “100 most innovative digital healthcare companies in the world” by the journal of mHealth, we are leveraging technology and data science to make healthcare simple. See our story @ https://yourstory.com/2016/04/ekincare-growth-story/ If you're an energetic, street smart, creative, hungry "crushing it" kind of professional and are interested in truly making a difference in Indian healthcare then apply now! Before it's too late! ** Added bonus if you have experience working in a healthcare industry! What you would be doing? - Generate new business opportunities - Demo eKincare platform benefits and use cases to clients - Drive revenue through corporate and insurance sales - Nourish existing relationships and strive towards best customer experience - Negotiate contractual terms, pricing and services with the partners - Keep an ear to the ground on healthcare trends and market - Contribute towards platform development by sharing market requirements - Continuously track towards company’s goals and aspirations What You Need For This Position (PLEASE DO NOT APPLY IF YOU DON'T MEET THE CRITERIA) - Previous relevant experience (2-5 years) within insurance broker/healthcare/SaaS/Corporate sales a MUST - Experience in commercial discussions with customers/ negotiations - Track record of driving incremental revenue opportunities and closing sales - Management graduate from a Tier-1 school - Preferred - Be able to thrive in a complex and demanding startup environment - Street smart, open minded, analytical, persistent, accountable and ethical

We are currently supported and mentored by Nasscom, cnbc and facebook. Its a chance to get involved with a healthcare software startup in its early days and reap the benefits when it grows big. Chance to learn and contribute in multiple things are always on offer in any startup.