11+ Heuristic analysis Jobs in Bangalore (Bengaluru) | Heuristic analysis Job openings in Bangalore (Bengaluru)
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- Seeking product ideas and feedback from stakeholders, gathering requirements, writing specifications, and helping shape wireframes and workflows
- Defining clear and well-scoped requirement documents that are easily understood by technical and non-technical audiences
- Working with engineers and designers to ship features and product improvements
- Identifying success metrics and setting up processes to analyze and track funnel performance using cutting-edge analytics products
- Understanding the consumer through past experiences and research, and market data and ensuring laser focus on the consumer during product development
What you need to have:
- Engineering from Tier 1 Institute
- Prior experience in early or growth stage fintech startups
- 3+ years of experience in product management
- Experience with product analytics and SQL or data querying / analysis tools
- Intuitive but data-driven combining the power of analytics and heuristics with innovative customer validation techniques
- Good communication skills (both written and verbal). You will have to inspire a lot as people will look up to you for product vision!
- Ability to understand the needs of the users, translate them into features, and working with the engineering team to understand the implementation details
- Ability to define metrics that drive online communities. You should be comfortable with metrics like MAUs, retention cohorts, etc.
- Ready to roll up sleeves to spend time designing UI, analysing data, setting up quality processes and guardrails, jumping into the business analysis as required
Job Title : Red Hat PAM Developer
Experience Required :
- Relevant Experience : 4+ Years
- Total Experience : Up to 8 Years
No. of Positions : 4
Work Locations : Hyderabad / Bangalore / Mumbai / Pune / Gurgaon / Chennai
Work Mode : Hybrid
Work Timings : 1:00 PM to 10:00 PM IST
Interview Mode : Virtual
Interview Rounds : 2
Mandatory Skills :
- Excellent communication skills – must be comfortable in client-facing roles
- Red Hat Process Automation Manager (PAM)
- JBPM (Java Business Process Management)
- BPMN 2.0 (Business Process Model and Notation) – low-code platform
- DMN (Decision Model and Notation) – business processes and rules
- Spring Boot
- JavaScript
Good-to-Have Skills :
- Red Hat Fuse
- Apache Kafka
- Apache Camel
.NET
C#Experience: 2+ Years
Key Skills:
- Programming Languages: C# or VB.NET
- Server-Side Technologies: ASP.NET / MVC
- Front-End Technologies: Html5, ES5/ES6/ JavaScript, CSS, jQuery, Bootstrap, Ajax, Web Sockets
- Database: SQL Server
Location: Navi Mumbai, Mumbai, Noida, Bengaluru, Hyderabad, Chennai, Gurugram, surat, Bhopal
Required Skillset
· The candidate should be well-versed in advanced off-page SEO methodologies like link-building, influencer collaboration, guest blogging, and content promotion.
· Profound knowledge of on-page SEO, such as keyword optimization, meta tags, title improvement, URL structure, user experience, and conversion rate optimization, is necessary.
· Must have relevant experience in team leadership, workflow organization, and project management.
· Should be capable of devising, articulating, and implementing successful SEO strategies for enhanced website performance and ranking.
· Exceptional verbal and written communication aptitude is required for articulate interactions with the team and other stakeholders.
· Proficiency in MS Office Suite, especially Excel, is a prerequisite for effective data analytics and reporting.
· Record-keeping ability and advanced skills in data reporting, with a clear understanding of analytics tools like Google Analytics, SEMrush, and Ahrefs, is a must.
· Should be able to conceptualize innovative solutions for achieving high quality and authoritative link-building.
· The capability to quickly identify and rectify issues impacting the SEO performance of the website is required.
· A proven track record in SEO showcasing improved SEO performance is crucial.
Job Description
· Guide the SEO team in applying best SEO practices to all online content.
· Oversee and manage SEO team's workflow to ensure deadlines and targets are achieved.
· Formulate effective on-page and off-page SEO strategies.
· Undertake keyword research for improving organic SEO rankings.
· Analyze SEO statistics, including traffic, ranking, clicks, and bounce rates.
· Establish systems and standards for optimizing all content for SEO.
· Design strategies and action plans for building high-quality, authoritative backlinks to our website.
· Monitor and assess search results and performance across major search channels.
· Execute data analysis to inform SEO strategy and provide enhancements.
· Regularly track and report on KPIs using tools like Google Analytics, SEMRush, and Ahrefs.
· Present detailed reports and insights to the team and stakeholders.
· Communicate SEO strategies and results to the team, clients and stakeholders in a clear, precise manner.
· Work in collaboration with other departments, such as content, design, and development, to manage SEO strategy.
PythonJob Responsibilities
- Design, build & test ETL processes using Python & SQL for the corporate data warehouse
- Inform, influence, support, and execute our product decisions
- Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
- Evaluate and prototype new technologies in the area of data processing
- Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
- High energy level, strong team player and good work ethic
- Data analysis, understanding of business requirements and translation into logical pipelines & processes
- Identification, analysis & resolution of production & development bugs
- Support the release process including completing & reviewing documentation
- Configure data mappings & transformations to orchestrate data integration & validation
- Provide subject matter expertise
- Document solutions, tools & processes
- Create & support test plans with hands-on testing
- Peer reviews of work developed by other data engineers within the team
- Establish good working relationships & communication channels with relevant departments
Skills and Qualifications we look for
- University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
- 4 - 6 years experience with data engineering.
- Strong coding ability and software development experience in Python.
- Strong hands-on experience with SQL and Data Processing.
- Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
- Good working experience in any one of the ETL tools (Airflow would be preferable).
- Should possess strong analytical and problem solving skills.
- Good to have skills - Apache pyspark, CircleCI, Terraform
- Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
- Understanding & experience of agile / scrum delivery methodology
React.js
Javascript
Redux/Flux
HTML/CSSWho are we?
Whatfix is the #1 Digital Adoption Platform (DAP) for Enterprises. We are disrupting the way Learning, Training and Application Support content is consumed. We provide large enterprises with a SaaS platform that helps accelerate product adoption and reduce support & training efforts by providing contextual and step by step guidance inside any web application at the exact time a task is being performed. The product has redefined the way companies onboard, train, and provide support to users.
What sets us apart from the rest?
With over 100 of the Fortune 500 companies already onboard as customers, Whatfix has been named among the top 20 B2B tech companies alongside the likes of Adobe, PayPal, and Cisco.
With a YoY growth of 300%, we have also been recognized among the top 50 fastest growing SaaS companies worldwide in the SaaS 1000 list and as a Market Leader by Gartner in the Digital Adoption space.
We are pleased to have an Employee rating of 4.6 on https://www.glassdoor.co.in/Reviews/Whatfix-Reviews-E1016569.htm" target="_blank">Glassdoor and our Customer obsession can be seen in our reviews on platforms like https://www.g2.com/products/whatfix/reviews" target="_blank">G2 Crowd & https://www.gartner.com/reviews/market/customer-communications-management-software/vendor/whatfix/product/whatfix" target="_blank">Gartner Peer Insights.
The employees are happy, the customers are happy, but what about the investors? Take a look for yourself - http://www.sequoiacap.com/" target="_blank">Sequoia Capital || http://www.stellarisvp.com/whatfix-what-we-learnt-from-series-a-to-series-b-in-a-saas-business/" target="_blank">Stellaris || https://blogs.cisco.com/innovation/tomorrows-customer-experience-why-cisco-invested-in-whatfix" target="_blank">Cisco || https://eightroads.com/en/news/our-investment-in-whatfix" target="_blank">Eight Roads || http://www.helionvc.com/blog/we-are-pleased-collaborate-whatfix.html" target="_blank">Helion Ventures
“Hustle Mode ON” is something we live by.
Our Team:
The Engineering team at Whatfix provides end-to-end engineering throughput that forms part of core platforms and services that drive Whatfix's business.
Our team is responsible for creating the Customer Platform and everything around it - be it Analytics, Infrastructure, or Core Algorithms. The team owns and is responsible for all pieces that we design, build and support end to end for Whatfix product/ business.
Our product is built around a core of JAVA with enterprise businesses using the Whatfix system. On a monthly basis, millions of interactive guides are processed. Building, testing, and deploying to any of our environments are as simple as pushing a commit to a git branch. We like to keep our technology up-to-date. All of the technology is built and maintained by this small development team, so from day 1, the software you write will be used by people from all over the world.
RESPONSIBILITIES:
- Design and develop highly scalable, reliable, and fault-tolerant systems for one of the world’s fastest-growing startups
- Work with business to define requirements
- Perform technical design and hands-on coding for development and enhancement efforts
- Develop new user-facing features
- Building reusable code and libraries for future use
- Ensure the technical feasibility of UI/UX designs
- Optimize applications for maximum speed and scalability
- Assure that all user input is validated before submitting to back-end services
- Promote best practices in design and coding
- Conduct design and code reviews
- Understand the customer needs & implement
- Articulate complex problems communicating viable architecture and design approaches in a clear and concise manner
- Enhance the agile SDLC within the Development Team through new learning, continued growth, and applying industry best practices and processes
- Occasionally participate in customer demos & provide inputs wherever required
- Keep optimizing & automating mundane tasks
You'll be a core member of the team.
Individual growth is important to us. We schedule time every week to explore an interest or learn something new. Team members have also used it to do everything from learning new algorithms to playing with the new framework, to exploring what the new analytics layer could be used for. We also take some time each day to discuss what we're working on, and even pair programs to teach each other about parts of the codebase. There's no risk of stagnation in this job, you would still be hands-on after a few years.
REQUIREMENTS:
We are looking for a Front-End Engineer to help us scale and go deep on our technical capabilities.
- 4 -12 years of professional front-end development experience
- Hands-on experience with Front end technologies - JavaScript, Typescript, HTML, CSS
- Experience with React Ecosystem (React Router, Styled-components, Server-side rendering, Context API, React Hooks) is strongly preferred
- Experience with state management libraries such as Redux is a huge plus.
- Proficient understanding of cross-browser compatibility issues and ways to work around such issues
- Experience in backend programming languages such as Java is strongly preferred
- Experience in building Web applications using frameworks like Spring, Microservice architecture
- Work experience, preferably from internet companies, products, or startups
- Expertise in design principles and their application
- Strong verbal and written communication skills
- Fast Learner & a Team Player
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Science
Machine Learning (ML)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.
React NativeReact.jsJavascriptWe are looking for a qualified React Native developer to join our Engineering team. Ultimately, you
should be able to design and build the next generation of our mobile applications.
What is expected of our App Developers?
1. Understand the healthcare context and identify key problems
2. Innovate, evaluate, and deploy various android and IOs Features that can solve complex healthcare needs
3. Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon, both in regards to estimates and to general process. An understanding of React Native best practices and a
commitment to following them.
4. Ability to create and maintain continuous integration and delivery of applications.
5. A positive mindset and can-do attitude.
6. Forensic attention to detail.
Qualifications:
1. Bachelor’s degree in CS/IS.
2. Experience with React Js, React Native, JavaScript including DOM Manipulation and
JavaScript object model.
3. Thorough understanding of React Native and its core Principles.
4. Hands on experience on React Native Framework at least 2 years.
5. Good Knowledge of HTML5, CSS.
6. Familiarity with code versioning tools (Such as Git, SVN or Mercurial)
7. Familiarity with RESTful APIs
8. Familiarity with modern front-end build pipelines and tools.
9. Experience with common front-end development tools such as Babel, Web pack, NPM etc.
10.Experience with Native Mobile app deployment on App store and google play store.
We are looking to self-driven individuals who aspire to be world class app developers and have
massive impact
in healthcare space
- Design, develop, test, debug and maintain components of the cloud infrastructure
- Manage operational priorities of the DBaaS
- Establish a process for handling and leading response to security new vulnerabilities
- Lead certification efforts from the security perspective
- Participate in penetration testing efforts
- Design and build DBaaS processes for key management, rotation storage, encryption, and password management
Requirements:
- Strong software design and implementation skills in building infrastructure frameworks
- Experience building and operating extensible, scalable resilient data systems
- Working knowledge of Java and Python Experience using public cloud infrastructure (AWS, GCP, or Azure)
- Containerization tooling (Docker, EKS, Kubernetes)
- Infrastructure as Code Tooling (Example: Terraform, Cloudformation, Etc.)
- Configuration Management Tooling (Ansible, Chef, etc.)
- Automation Scripting (Python preferred)
- Solid understanding of basic systems operations (disk, network, etc)
- Willingness and ability to learn new languages and concepts
- 5+ years of relevant experience
Ruby
Ruby on Rails (ROR)JavascriptHTML/CSSWe are looking for a Ruby on Rails developer responsible for managing existing ruby on rail projects and any future interchange of data between the server and the users. Your primary focus will be development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating and building the front-end elements required by our team into the application. Therefore, a basic understanding of front-end technologies is necessary as well.
Responsibilities
- Design, build, and maintain efficient, reusable, and reliable Ruby code
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
- Integration of user-facing elements developed by front-end developers with server side logic
- Identify bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization and automatization.
- Be an individual contributor and a team player.
- Be able to lead a development project from scratch to execution.
- Maintaining and troubleshooting existing web applications.
- Creating back-end components.
- Connecting applications with additional web servers.
- Maintaining APIs.
Skills
- Experience with Ruby on Rails, along with other common libraries such as RSpec and Resque
- Good understanding of the syntax of Ruby and its nuances
- Solid understanding of object-oriented programming
- Good understanding of server-side templating languages such as Liquid, Slim, etc which will keep on changing based on our technology stack.
- Good understanding of server-side CSS pre-processors such as Sass, based on project requirements
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Familiarity with concepts of MVC, Mocking, ORM, and RESTful
- A knack for writing clean, readable Ruby code
- Ability to integrate multiple data sources and databases into one system
- Understanding of fundamental design principles behind a scalable application
- Able to create database schemas that represent and support business processes
- Able to implement automated testing platforms and unit tests
- Proficient understanding of code versioning tools e.g. Git, Mercurial or SVN
- Familiarity with development aiding tools such as Bower, Bundler, Rake, etc.
- Familiarity with continuous integration, CICD pipeline.
- Familiarity with Graphql and React framework is a bonus.
- Familiarity with testing tools.
- Bachelor’s degree in Computer Science, Computer Engineering, or related field.
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