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Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 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.
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.
Read more
Remote, Pune
2 - 4 yrs
Best in industry
DevOps
Kubernetes
Docker
Amazon Web Services (AWS)Distributed Systems
+13 more
PortOne is re−imagining payments in Korea and other international markets. We are a Series B funded startup backed by prominent VC firms Softbank and Hanwa Capital
PortOne provides a unified API for merchants to integrate with and manage all of the payment options available in Korea and SEA Markets - Thailand, Singapore, Indonesia etc. It's currently used by 2000+ companies and processing multi-billion dollars in annualized volume. We are building a team to take this product to international markets, and looking for engineers with a passion for fintech and digital payments.
Culture and Values at PortOne
- You will be joining a team that stands for Making a difference.
- You will be joining a culture that identifies more with Sports Teams rather than a 9 to 5 workplace.
- This will be remote role that allows you flexibility to save time on commute
- Your will have peers who are/have
- Highly Self Driven with A sense of purpose
- High Energy Levels - Building stuff is your sport
- Ownership - Solve customer problems end to end - Customer is your Boss
- Hunger to learn - Highly motivated to keep developing new tech skill sets
Who you are ?
* You are an athlete and Devops/DevSecOps is your sport.
* Your passion drives you to learn and build stuff and not because your manager tells you to.
* Your work ethic is that of an athlete preparing for your next marathon. Your sport drives you and you like being in the zone.
* You are NOT a clockwatcher renting out your time, and NOT have an attitude of "I will do only what is asked for"
* Enjoys solving problems and delight users both internally and externally
* Take pride in working on projects to successful completion involving a wide variety of technologies and systems
* Posses strong & effective communication skills and the ability to present complex ideas in a clear & concise way
* Responsible, self-directed, forward thinker, and operates with focus, discipline and minimal supervision
* A team player with a strong work ethic
Experience
* 2+ year of experience working as a Devops/DevSecOps Engineer
* BE in Computer Science or equivalent combination of technical education and work experience
* Must have actively managed infrastructure components & devops for high quality and high scale products
* Proficient knowledge and experience on infra concepts - Networking/Load Balancing/High Availability
* Experience on designing and configuring infra in cloud service providers - AWS / GCP / AZURE
* Knowledge on Secure Infrastructure practices and designs
* Experience with DevOps, DevSecOps, Release Engineering, and Automation
* Experience with Agile development incorporating TDD / CI / CD practices
Hands on Skills
* Proficient in atleast one high level Programming Language: Go / Java / C
* Proficient in scripting - bash scripting etc - to build/glue together devops/datapipeline workflows
* Proficient in Cloud Services - AWS / GCP / AZURE
* Hands on experience on CI/CD & relevant tools - Jenkins / Travis / Gitops / SonarQube / JUnit / Mock frameworks
* Hands on experience on Kubenetes ecosystem & container based deployments - Kubernetes / Docker / Helm Charts / Vault / Packer / lstio / Flyway
* Hands on experience on Infra as code frameworks - Terraform / Crossplane / Ansible
* Version Control & Code Quality: Git / Github / Bitbucket / SonarQube
* Experience on Monitoring Tools: Elasticsearch / Logstash / Kibana / Prometheus / Grafana / Datadog / Nagios
* Experience with RDBMS Databases & Caching services: Postgres / MySql / Redis / CDN
* Experience with Data Pipelines/Worflow tools: Airflow / Kafka / Flink / Pub-Sub
* DevSecOps - Cloud Security Assessment, Best Practices & Automation
* DevSecOps - Vulnerabiltiy Assessments/Penetration Testing for Web, Network and Mobile applications
* Preferrable to have Devops/Infra Experience for products in Payments/Fintech domain - Payment Gateways/Bank integrations etc
What will you do ?
Devops
* Provisioning the infrastructure using Crossplane/Terraform/Cloudformation scripts.
* Creating and Managing the AWS EC2, RDS, EKS, S3, VPC, KMS and IAM services, EKS clusters & RDS Databases.
* Monitor the infra to prevent outages/downtimes and honor our infra SLAs
* Deploy and manage new infra components.
* Update and Migrate the clusters and services.
* Reducing the cloud cost by enabling/scheduling for less utilized instances.
* Collaborate with stakeholders across the organization such as experts in - product, design, engineering
* Uphold best practices in Devops/DevSecOps and Infra management with attention to security best practices
DevSecOps
* Cloud Security Assessment & Automation
* Modify existing infra to adhere to security best practices
* Perform Threat Modelling of Web/Mobile applications
* Integrate security testing tools (SAST, DAST) in to CI/CD pipelines
* Incident management and remediation - Monitoring security incidents, recovery from and remediation of the issues
* Perform frequent Vulnerabiltiy Assessments/Penetration Testing for Web, Network and Mobile applications
* Ensure the environment is compliant to CIS, NIST, PCI etc.
Here are examples of apps/features you will be supporting as a Devops/DevSecOps Engineer
* Intuitive, easy-to-use APIs for payment process.
* Integrations with local payment gateways in international markets.
* Dashboard to manage gateways and transactions.
* Analytics platform to provide insights
Read more
Pune
3 - 5 yrs
Best in industry
React.jsTypeScript
HTML/CSSDescription
3-5 years of proven and progressive experience in React with TypeScript, and Microservices with Node.js(Good to have), CSS3, and HTML5. As a Frontend Developer, you will be in charge of all duties related to the frontend client platform, from developing designs for complicated applications. This includes reviewing software and business specifications, ensuring UI/UX feasibility, and implementing front-end code optimizations to ensure a smooth user experience.
Requirements
- Strong understanding of Javascript fundamentals with a strong understanding of the DOM and browser APIs.
- Full-stack web development experience (Good to have).
- Experience working with Microservices with Node.js (Good to have).
- Experience with a responsive design for desktop/mobile.
- Experience with Javascript frameworks, such as React(must), Angular, or Vue.
- Knowledge of the latest CSS conventions, and experience with preprocessors, such as Sass or Less.
- Ability to work in an Agile environment.
- Great OO skills, including strong design patterns knowledge.
- Passion for software engineering and craftsman-like coding process.
Responsibilities
- Develop and enhance the performance of the main front-end website.
- Work with business analysts to review business requirements, and UI designers to ensure technical feasibility of concepts.
- Collaborate with backend developers to set up scalable API architectures.
- Maintain frontend infrastructure, monitor for exceptions in the code, and debug any faults that occur in production.
- Perform requirements analysis, identification of code metrics, code analysis, system risk analysis, usability, automation, and software reliability analysis.
Perks
- Work-Life Balance
- Skill Development
- Object Bootcamp
- Sabbatical Leave
- Parental Leaves
- Office Perks (Free Meal, Snacks)
- Challenging work
Culture
- Open Culture
- Flat Hierarchy
- 360-degree feedback
- Mentorship Program
- People Supportive
- Competitive & Friendly Environment
Read more
Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹10L - ₹15L / yr
J2EE
Core Java
Spring Boot
RESTful APIs
Responsibility :
- Designing, implementing, developing, and maintaining applications using the Java tech stack
- Understand business requirements and convert them into technical specifications
- Contribute to SDLC (software development lifecycle) activities requirement gathering, analysis, design, development, testing & integration, maintenance
- Monitor and identify production and non-production issues and resolve them
- Writing clean, efficient, and secure code
- Ensure performance, security, stability, and quality of the application
- Improve existing systems by adding new features in line with business specifications
- Monitor performance and implement innovative solutions to improve the overall system
- Collaborate with peers and team members to build scalable, secure, and quality products Perform regular checks and follow best practices to develop, deploy, and maintain software Deployment of new features and products into the production environment
Requirements:
- Strong background in Core Java with relevant experience in J2EE technologies, Hibernate Framework and Spring boot/Spring boot, Microservices and result/Soap services
- Strong knowledge of object-oriented programming concepts, exception handling, and memory management
- Must know concepts of multi-threading and dependency injection
- Knowledge of HTML, XML, JSON, CSS, JavaScript, JSP, and Servlet
- Sound knowledge of relational and/or non-relational databases such as MySQL, MongoDB, etc. Ability to work with ORM frameworks and concepts such as JPA2 and Hibernate
- Working experience in any Java IDE tool such as Eclipse, Intellij IDE
- Experience in at least one framework Spring, Struts, JSF
- Knowledge of build tools such as Maven, Gradle, etc.
- Version control (Git repository) Familiar with CI/CD and DevOps and tools like Jenkins, GitHub pipelines, etc.
- Experience in developing SaaS, PaaS, and cloud-based web applications
- Additional knowledge/ experience in front end technologies- JavaScript, HTML, AngularJS / ReactJs framework
Read more
Pune
1 - 3 yrs
₹3L - ₹4L / yr
Business Development
Sales presentations
Sales
MS-Excel
MS-PowerPoint
+1 more
About the company: http://vennplay.ai/" target="_blank">vennplay.ai is an upcoming career development platform aimed at helping students & working professionals with their career planning needs. Be it planning a career from scratch or making a mid-career shift, vennplay works like a charm for all. We are looking for talented folks who join our growth team.
Consider yourself a good fit if you
Responsibilities
- Prepare pitch decks & branding material before pitching to any mentor
- Grow Vennplay’s mentor network by connecting & build relationships with experienced professionals across various industries
- Demonstrate our platform to them & onboard them as a mentor with us
- Interview & capture their professional journey
- Help them create & manage their profile
Consider yourself a good fit if you
- Are great with people
- Have professional email writing skills
- Have awesome presentation skills
- Have Pro Networking skills
- Are good at verbal & written communication in English
- Are proficient in tools like MS Excel, PowerPoint & Word
Minimum qualifications required
- 0-3 years of experience in business development / marketing or sales
- Any Graduate or Post Graduate (Marketing specialization preferred)
Read more
Remote, Bengaluru (Bangalore), Hyderabad, Pune
3 - 11 yrs
₹6L - ₹25L / yr
CPQ
Salesforce
Salesforce.com
Java
NodeJS (Node.js) +4 more
REQUIREMENTS
1) Experience customizing Salesforce CPQ application.
2) Strong with configuration, customization, programming with APEX APIs, APEX Triggers, Visual force,
Chatter, Apex Data Loader etc.
3) Have directly involved in managing the releases of various salesforce applications - with deepdive
understanding of packages and change sets.
4) Have hands-on experience working with Salesforce API [Tooling API, Metadata API, Canvas, Rest/ SOAP
API, Bulk API etc.,]
5) Have hands-on experience in developing and architecting enterprise applications on Java / J2EE
platform.
6) Strong Problem Solving and communication skills.
7) SFDC Certifications Sales Cloud, Service Cloud, DEV
8) Must have been part of publishing at least 1 app on AppExchange and understanding of AppExchange
security review requirements
9) Implemented Continuous Integration for one of the Force.com applications.
10) In-depth knowledge and experience in developing Salesforce1 Mobile solutions (Apps).
11) Translates business requirements into well-architected solutions that best leverage the
Salesforce/CPQ platform & out of the box capabilities.
12) Experience in CPQ, Merge Service e: Configuration and Pricing APIs.
13) Proficiency in Salesforce.com development environment including Force.com IDE, migration tools,
SOSL, SOQL and Webservice
1) Experience customizing Salesforce CPQ application.
2) Strong with configuration, customization, programming with APEX APIs, APEX Triggers, Visual force,
Chatter, Apex Data Loader etc.
3) Have directly involved in managing the releases of various salesforce applications - with deepdive
understanding of packages and change sets.
4) Have hands-on experience working with Salesforce API [Tooling API, Metadata API, Canvas, Rest/ SOAP
API, Bulk API etc.,]
5) Have hands-on experience in developing and architecting enterprise applications on Java / J2EE
platform.
6) Strong Problem Solving and communication skills.
7) SFDC Certifications Sales Cloud, Service Cloud, DEV
8) Must have been part of publishing at least 1 app on AppExchange and understanding of AppExchange
security review requirements
9) Implemented Continuous Integration for one of the Force.com applications.
10) In-depth knowledge and experience in developing Salesforce1 Mobile solutions (Apps).
11) Translates business requirements into well-architected solutions that best leverage the
Salesforce/CPQ platform & out of the box capabilities.
12) Experience in CPQ, Merge Service e: Configuration and Pricing APIs.
13) Proficiency in Salesforce.com development environment including Force.com IDE, migration tools,
SOSL, SOQL and Webservice
Read more
Mumbai, Bengaluru (Bangalore), Pune
3 - 5 yrs
₹4L - ₹7L / yr
Sales
Business Development
Job offer by MEGA INFOSOLUTIONS – MATUNGA – IT HARDWARE SALES MANAGER (meganet1.com)
Designation: IT Hardware-Sales Manager
Experience: 5+ Years
CTC: Best as per industry standards Location: Mumbai, Pune and Bangalore
Qualification: Graduate
Roles and Responsibilities
• Hunting New accounts, obtain orders, establish accounts by planning and organizing daily work schedule
• Contact potential clients through cold calls, phone calls and emails
• Monitor competition by gathering current marketplace information on pricing, products, new products, delivery schedules, etc.
• Constantly keep updating personal credentials by undertaking various
certifications expected of the team.
• Present our company to potential customers
• Identify client needs and suggest appropriate products.
• Customize product solutions to increase customer satisfaction
• Build long-term trusting relationships with clients
• Proactively seek new business opportunities in the market
• Update all internal reports as per company protocol
Desired Candidate Profile
• Proven work experience as a Business Development Manager, Sales Account
Manager or similar role is mandatory (including cold calls)
• Track record of achieving sales quotas consistently
• Familiarity with MS Excel, MS Word, MS Outlook, Google Sheets, Google Docs and other basic business communication tools
• Excellent communication, negotiation and interpersonal skills
• Ability to engage in conversation
• Confident, well-groomed personality
• Personal mode of transport (Except Mumbai)
• Bachelor’s degree in the relevant field
About Meganet
Founded in 1995 Meganet has built up an exceptional reputation within the IT trade by supplying the latest in high performance technology backed up by unrivalled in-house pre and post sales and technical expertise.
Now over two decades in business, Meganet is recognized as a pivotal player within the industry, leading the way in offering the latest in high performance hardware for the server, workstation, clusters, High Performance Computing, storage solution and Cloud Computing.
In this endeavor, we have to state that we have been able to, time and again, meet market expectations by providing superior quality services and innovative solutions, and, in the process bring the customers, products and vendors together into lasting and rewarding associations.
Designation: IT Hardware-Sales Manager
Experience: 5+ Years
CTC: Best as per industry standards Location: Mumbai, Pune and Bangalore
Qualification: Graduate
Roles and Responsibilities
• Hunting New accounts, obtain orders, establish accounts by planning and organizing daily work schedule
• Contact potential clients through cold calls, phone calls and emails
• Monitor competition by gathering current marketplace information on pricing, products, new products, delivery schedules, etc.
• Constantly keep updating personal credentials by undertaking various
certifications expected of the team.
• Present our company to potential customers
• Identify client needs and suggest appropriate products.
• Customize product solutions to increase customer satisfaction
• Build long-term trusting relationships with clients
• Proactively seek new business opportunities in the market
• Update all internal reports as per company protocol
Desired Candidate Profile
• Proven work experience as a Business Development Manager, Sales Account
Manager or similar role is mandatory (including cold calls)
• Track record of achieving sales quotas consistently
• Familiarity with MS Excel, MS Word, MS Outlook, Google Sheets, Google Docs and other basic business communication tools
• Excellent communication, negotiation and interpersonal skills
• Ability to engage in conversation
• Confident, well-groomed personality
• Personal mode of transport (Except Mumbai)
• Bachelor’s degree in the relevant field
About Meganet
Founded in 1995 Meganet has built up an exceptional reputation within the IT trade by supplying the latest in high performance technology backed up by unrivalled in-house pre and post sales and technical expertise.
Now over two decades in business, Meganet is recognized as a pivotal player within the industry, leading the way in offering the latest in high performance hardware for the server, workstation, clusters, High Performance Computing, storage solution and Cloud Computing.
In this endeavor, we have to state that we have been able to, time and again, meet market expectations by providing superior quality services and innovative solutions, and, in the process bring the customers, products and vendors together into lasting and rewarding associations.
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Pune
2 - 5 yrs
₹4L - ₹7L / yr
System Administration
Shell Scripting
Amazon Web Services (AWS)Active Directory
Hardware troubleshooting
We are looking for a System Administrator to maintain, upgrade and manage our software, hardware and networks.
Resourcefulness is a necessary skill in this role. You should be able to diagnose and resolve problems quickly. You should also have the patience to communicate with a variety of interdisciplinary teams and users.
Your goal will be to ensure that our technology infrastructure runs smoothly and efficiently.
Responsibilities
- Install and configure software and hardware
- Administer Microsoft 365 Enterprise Mobility and Security suite + Intune
- Set up accounts and workstations
- Monitor performance and maintain systems according to requirements
- Troubleshoot issues and outages
- Ensure security through access controls
- Upgrade systems with new releases and models
Must-have Skills
Technical Skills
- Functional & operational understanding of Microsoft Active Directory, Office 365 and Microsoft Intune or Microsoft Enterprise Mobility and Security
- Functional knowledge of Active Directory security groups
- Experience with configuring Microsoft 365 security policies
- Ability to troubleshoot issues related to Windows 10 operating systems
- Basic hardware troubleshooting skills
Soft skills
- Eager to learn and apply new technologies and tools to get the job done
- Strong analytical and organizational skills
- Good communications skills to be able to communicate with people to understand and comprehend underlying issues
Bonus Points
- Microsoft Certifications: MCSA/MCSE/MS-101 Enterprise Mobility and Security
- Network configuration and management
- Fortinet firewall configuration
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Pune
8 - 10 yrs
₹10L - ₹24L / yr
Product Management
product manager
Product Strategy
Agile/Scrum
Flutter +5 more
Product Manager
Responsibilities:
- Manage agile product development process from product management point of view
- Develop and implement product strategies consistent with company vision
- Develop and maintain an understanding of the product, market, and competition
- Develop product positioning and go to market strategy
- Collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and products
- Identify areas for growth and create strategic product line roadmaps to help drive adoption of the product and differentiating features
- Analyze potential partner relationships for the product and lead the effort to integrate our applications with other leading industry systems
- Work with QA engineers to create test plans
- Serve as an in-house expert for our products and become the go-to person for all functional issues
- Keep abreast of the goings-on in the industry
- Make creative recommendations to expand product base and vision
- Manage all lifecycle stages for a product from ideation through sunset, with responsibility for ensuring that deliverables are understood and releases are delivered on time.
Skills Required:
- In-depth knowledge of Agile methodology for product development
- In-depth knowledge of SCRUM & JEERA
- Outstanding communication, presentation and leadership skills.
- Excellent organizational and time management skills.
- Sharp analytical and problem-solving skills.
- Creative thinker with a vision.
- Attention to details.
- In depth knowledge of following technologies:
- Frontend:
- Angular 2+, typescript. (Required)
- Backend:
- Django/DjangoREST, Python (Prefered) or NodeJs.
- Good experience of microservices.
- Mobile:
- Flutter/Dart or other Core Android/IOs development.
- DevOps:
- Good understanding of AWS which includes(All required):
- Good expertise in Linux.
- EC2 instance management.
- Scalability (Horizontal or Vertical) which includes autoscaling.
- Proper use of S3 for static file management.
- SNS or AWS email service.
- AWS resource cost optimization.
- Proper knowledge of Load Balancers.
- Other:
- Bitbucket/GIT pipelines for automatic build and deploy.
- JIRA.
- Testing with professional test cases.
- Database: SQL and NoSQL.
Experience :
- Minimum 4-7 years of experience as a Product Manager
- Masters in Computer Science, Engineering or similar relevant field
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Pune
3 - 7 yrs
₹8L - ₹16L / yr
React.js
JavascriptHTML/CSSUser Interface (UI) Development
MUST Have
- 4-6 years of experience in application software development ( UI stack development )
- Sound knowledge of computer science fundamentals
- Proven ability to design and implement a complex (scalable and distributed ) application software on linux platform
- Hands on any of the language reactjs, Javascript
- Expert in software processes and tools ( Agile, CI/CD, Git, Jenkins )
Good to Have
- Experience in application migration to cloud
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Pune
2 - 5 yrs
₹3L - ₹4L / yr
"Client Servicing"
"digital marketing"
"client management"
"client satisfaction"
Hi Candidates,
We have an urgent opening for Client Servicing profile for Pune Location.
Responsibilities will include:
1. Maintain & retain client relationship for all digital media servicing
2. Should have good strategic & communication skills with an ability to understand the creative brief
3. Translate brief to both creative & operations team
4. Maintain & coordinate within various in-house departments – especially creative and social media team.
5. Create Mock up, Presentations basis on the creative brief given by client and same needs to be explained to the Internal creative team.
6. Develop a crisp and creative content to support marketing and corporate communication needs.
7. Assist with production of artwork, source images and check copy.
8. Developing a thorough understanding of client's businesses and brands.
9. Ensuring client requests are developed into internal briefs in line with the Agency's procedures.
10. Managing all client requests and ensuring delivery of work on time and as per clients' requirements.
11. Taking a proactive role in creative briefs and Ad operations and have the ability to propose innovative solutions.
12. Coordinate with social media team and support them with Innovative content and copy of the creatives.
To be considered for this position, one must have:
1. Sound knowledge of digital lead-gen processes, i.e., Google AdWords and other Search Engine Marketing tools, including Facebook, LinkedIn, YouTube, Twitter etc.
2. Understanding of the digital creatives like – Landing Pages, Display Banners, Facebook ads and Posts, Microsites, Emailers etc.
3. Knowledge in writing journals, brochures, whitepapers
4. Preparing interactive presentations and mock ups
5. Copy-writing, Proof-reading
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