Software Test Engineer

Cibirix is prepared to hiring an experienced software operations manager who shall be responsible for maintaining and growing the operations of its software crm - Sensei. A probable pick will be responsible for managing quality assurance programs, supervising, hiring, and training other employees, monitoring existing processes and analyzing their effectiveness; and creating strategies to improve productivity and efficiency.Sensei has multiple portals including a CRM, a services division, and a 3D visualization system for outdoor buildings. We seek a candidate who Identify and understand how each portal works and the lifecycle of how they support customers, track and report on usage, issues, and resolution for each of these portals, understand and coordinate issue resolution through internal or external support teams, learn and document all systems and support processes associated with each portal and track and drive to resolution operational logistics. Direct reports include the Business Analyst, Project Manager, Tech Lead and UX Lead.Required Skills:
1)  Technology, specifically SAAS software.
2)  Experience in one of the following is a must: Software Architecture/Database Design/Frontend Technologies/Business Analysis
3)  Web, mobile and SaaS.
4)  Problem Solving, troubleshooting, and triage
5)  Analytics and reporting

Please refer to this link for more details; https://www.senseicrm.com/" target="_blank">https://www.senseicrm.com/

We are having an opening for Technical support engineer: Requirement: Good experience in technical support. Good communication skill. Voice process. Rotational shift (including night shifts). Intro about YML: We're a company headquartered in San Francisco bay area (US) and also have a offices & employees in Bangalore and Europe. We work with fortune 500 companies directly to develop their mobile products and also have our own suite of mobile products. Apps developed by us have ranked in the top spot on the app store. One of the apps "Intro to Letters" was handpicked by "Steve Jobs" and featured in an Apple prime time commercial. We have a strong Technical and Management team having experience working at eBay, Google, Yahoo, Dell with Strong educational background from IIT, Stanford, Georgia, Purdue University. For more information you may check out our website at http://www.ymedialabs.com Y Media Labs Domlur Diamond Destrict

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.

The role and responsibilities of Oracle or PL/SQL Developer and Database Administrator:
• Working Knowledge of XML, JSON, Shell and other DBMS scripts
• Hands on Experience on Oracle 11G,12c. Working knowledge of Oracle 18 and 19c
• Analysis, design, coding, testing, debugging and documentation. Complete knowledge of
Software Development Life Cycle (SDLC).
• Writing Complex Queries, stored procedures, functions and packages
• Knowledge of REST Services, UTL functions, DBMS functions and data integration is required
• Good knowledge on table level partitions, row locks and experience in OLTP.
• Should be aware about ETL tools, Data Migration, Data Mapping functionalities
• Understand the business requirement, transform/design the same into business solutions.
Perform data modelling and implement the business rules using Oracle database objects.
• Define source to target data mapping and data transformation logic as per the business
need.
• Should have worked on Materialised views creation and maintenance. Experience in
Performance tuning, impact analysis required
• Monitoring and optimizing the performance of the database. Planning for backup and
recovery of database information. Maintaining archived data. Backing up and restoring
databases.
• Hands on Experience on SQL Developer

Roles & Responsibilities:

1- Deliver extraordinary customer experience by technically advising customers on Toprankers products, services and capabilities to best meet the needs of the Customer.

2- Grow and nurture customer relationships on every interaction that results in measurable Customer value and drives Sales, nurturing mid to long term opportunities through regular touchpoints until they are ready for sales engagement.

3- Lead qualification and follow up of inbound leads received through various sources (including the company website, sample system, social media channels, events and other sources).

4-  Developing sales opportunities and assists in developing the pipeline for future sales activity through daily interactions.

5-  Outbound calling to establish new, high-quality opportunities with prospective customers and contacts.

6- Communicate via various channels such as telephone, email and chat with customers and internal support areas including production, sales, engineering,  and others as necessary.

7 - Liaise effectively with various internal business partners like Engineering and marketing to resolve Customer inquiries and requests.

8-  React positively to changing business conditions by proving to be flexible and adaptable.

 

Skill & Abilities : 

-   Customer service experience (Sales and/or Outbound calling experience a plus) with a passion for building customer loyalty through exceptional listening, relationship building, and strong written and verbal communication.

-   Demonstrated consultative experience, ability to influence, resourcefulness.

-   Energized by a desire to help and connect with people.

-   Demonstrated ability to maintain progress on multiple tasks, set priorities and manage time effectively.

-   Bachelor Degree required (e.g. Engineering/ Business/ Marketing)

-   Team player, critical thinker, self-motivated and proactive positive attitude

-   Fluent in written and spoken English & Hindi (Spoken)

Selected candidates day-to-day responsibilities include:

1. Working on computer vision/image processing applications like object classification, segmentation, etc.
2. Working on deep learning algorithms for machine vision based inspection usecases
3. Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data
4. Having full stack development experience will be plus

About HealthifyMe : We were founded in 2012 by Tushar Vashisht and Sachin Shenoy, and incubated by Microsoft Accelerator. Today, we happen to be India's largest and most loved health & fitness app with over 4 million users from 220+ cities in India. What makes us unique is our ability to bring together the power of artificial intelligence powered technology and human empathy to deliver measurable impact in our customers' lives. We do this through our team of elite nutritionists & trainers working together with the world's first AI-powered virtual nutritionist - "Ria", our proudest creation till date. Ria references data from over 200 million food & workout logs and 14 million conversations to deliver intelligent health & fitness suggestions to our customers. Ria also happens to be multi-lingual, "she" understands English, French, German, Italian & Hindi. Recently Russia's Sistema and Samsung's AI focussed fund - NEXT, led a USD 12 Million Series B funding into our business. We are the most liked app in India across categories, we've been consistently rated as the no:1 health & fitness app on play store for 3 years running and received Google's "editor's choice award" in 2017. Some of the marquee corporates in the country such as Cognizant, Accenture, Deloitte, Metlife amongst others have also benefited from our employee engagement and wellness programs. Our global aspirations have taken us to MENA, SEA and LATAM regions with more markets to follow. Desired Skills & Experience : Requirements : - Background in Linux/Unix Administration - Experience with Automation/Configuration Management using either Puppet, Chef or an equivalent - Ability to use a wide variety of Open Source Tools - Exp with AWS is a must. - Hands-on exp with at least 3 of RDS, EC2, ELB, EBS, S3, SQS, CodeDeploy, CloudWatch - Strong exp in managing SQL and MySQL Databases - Hands on exp in Managing Web Servers Apache, Nginx, Lighttpd, Tomcat (Apache Exp is valued) - A working understanding of Code and Script (PHP, Python, Perl and/or Ruby) - Knowledge of best practices and IT operations in an always-up, always-available service - Good to have exp in Python and NodeJS Stack : - Python/Django, MySQL, NodeJS+MongoDB - ElasticCache, DyanmoDB, SQS, S3 - Deployed in AWS We'd love to see : - Experience in Python and data modeling - Git and distributed revision control experience - High-profile work on commercial or open-source projects - Take ownership in your work, and understand the need for code quality, elegance, and robust infrastructure Look forward to : - Working with a world-class team. - Fun & work at the same place with an amazing work culture and flexible timings. - Get ready to transform yourself into a health junkie Join HealthifyMe and make history!