Customer Support Executive

What you will be doing

• Building and maintaining Java micro services.
• Develop new features and improve existing features of the application.
• Coding, Implementing, Unit Testing and Documenting Java based services.
• Design, build, and maintain efficient, reusable, and reliable Java code.
• Code reviews and ensuring adherence to software development standards.
• Contribute to team and organizational improvements in process and infrastructure.
• Participating in requirements gathering and functional specification activities.
• Resolving and helping to mitigate production issues.

What you need to be successful

• Has proven himself as a solid individual contributor and has some initial management ability
• Understands the culture and upholds it
• Well respected with the team
• Looking to grow more as a manager than as an engineer
• Split time b/w hands-on technical work and people management of a small team
• Be a role model for the people in your team
• Responsible for team mentorship, technical planning, resource allocation & project delivery
• Build solid working relationships with counterparts outside engineering
• If we shortlist you for a lead role, then you'll have to mentor SDE-1 towards their SDE-2 journey.
• Progress up to manager in 2-3 years
• Strong Data Structure and Algorithms
• Experience of building micro services architectures, developing RESTful services,continuous integration, unit and integration testing.
• Proficient with SpringBoot, Hibernate, JUnit and other Java frameworks apart from RDBMS and NoSQL databases - PostgreSQL, MongoDB
• Gauge or other BDD frameworks and experience in Fintech would be preferred.

Hi,

Please find the job details.

Role - PLSQL Developer
Location - Mumbai, Pune
Exp - 2 to 4 Yrs
Budget - 60K PM
PL/SQL Coding
Primary Skillset: Oracle PL/SQL, SQL Loader, SQL
Secondary Skillset: Pro*C/Linux Shell Script
Proficiency in Software Development Life Cycle
Scrum Framework knowledge
Experience working in an agile environment
Experience building complex systems that have been successfully delivered to customers
Experience in communicating with users, other technical teams

Thanks and Regards,
Rajan

• Promote the company’s products/services addressing or predicting clients objectives.
• Qualify leads from marketing campaigns as sales opportunities.
• Conduct research to identify new markets and customer needs.
• Develop a sustainable sales pipeline to meet and exceed forecasted targets .
• Keep records of sales, revenue, invoices etc.
• Meet Sales target allocated .
• Build long-term relationships with new and existing customers.
• Identify opportunities by researching on targeted companies and contacts.

• Minimum 3 years of experience in information technology sales.
• Should have an experience in handling enterprise projects.
• Must have prior experience in closing and managing projects .
• Ability to create engaging presentations.
• Communication and negotiation skills
• Proven track record of client growth and retention.

• Five Days Working in a week
• Saturday & Sunday fixed off
• Ample scope for growth opportunities

Looking for a person having good experience in Openshift Support.

Good understanding on OpenShift administration and monitoring.
 Monitor system events to ensure health, maximum system availability and service quality
 The candidate must have experience in larger cluster administration.
 Good knowledge of OpenShift. Good troubleshooting skill in docker.
 Kubernetes installation hands-on experience.

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.

About DotPe
DotPe is a fast-paced technology start-up, operating in Fintech and e-commerce space. With the aim to revolutionize offline-to-online(O2O) space, Dot strives to enable digital transformation of Offline businesses using smart innovations. This is a huge market, serving the 1.3 billion strong Indian population.
The start-up is led by a strong and experienced team. It has already raised seed funding of ~US$ 8 Million from renowned investors.
To know more, head over to: www.dotpe.in
Linkedin: https://www.linkedin.com/company/dotpein

Products
At DotPe, we are solving the key problems that lie at the heart of Offline businesses by equipping them with commerce and fin-tech products. We are building a horizontal Omni-channel platform encompassing several Products all aimed at empowering all types of merchants, big or small, with Digital Technology. Whilst strengthening the merchants, our products also aim to direct this digital transformation towards improving the customer journey.
Our initial Product line-up has already garnered attraction from several renowned enterprises as well as significant interest from every medium and small-scale merchant we touch. And this just marks the start of our journey!
Role: Business Development Manager
Job Responsibilities:
• Responsible for generating leads, sales and business development of all offline retail categories to sell DotPe product – F&B, Malls, Multiplex, Educational Institutes, Grocery, Hospitals, etc
• Identifying new opportunities for business development • Contacting potential merchants for various product offerings
• Manage end to end sales cycle – presentation, commercial negotiation, defining merchant scope of work, coordination with internal team to ensure timely merchant go live
• Closes new business deals by coordinating requirements; developing and negotiating contracts; and integrating contract requirements with business operations.
• Be the point of contact for internal & external stakeholder of DotPe
• Protects organization’s value by keeping information confidential.
• Enhances organization’s reputation by accepting ownership for accomplishing new and different requests. • Explores opportunities to add value to job accomplishments.
• Responsible for achieving set sales targets.
• Being part of a start-up from an early stage, lead your area of expertise and be a part of this exciting growth journey. Qualifications / Skills:
• Proven sales experience in retail / hospitality / F&B Aggregators / Retail POS & ERP Systems for 4-8 years • Exceptional communication and presentation skills, and ability to express technical and nontechnical concepts clearly and concisely.
• Expert understanding of product, and ability to innovate new ways the product can serve customers.
• Excellent organizational skills to meet goals and set priorities
• Innate drive to succeed and take initiative
• Strong organizational talents and ability to work under pressure and in new environments.
• A hustler, passionate working in a high growth start-up environment.
• Good market segmentation knowledge
• Great energy level and self-motivator What we are offering:
• Opportunity to work in a fast-growing Start-Up with lucrative compensation benefits.
• Working directly with the leaders; having high level of work independence, autonomy and empowerment to lead company-wide changes.
• Work with a market dominating technology
• Excellent platform for learning how to build teams, achieve goals and handle high growth situations. Ideal for people with entrepreneurial ambitions.

• Exercises judgment in selecting methods and techniques for obtaining solutions.
• Perform various types of testing like sanity, functional, exploratory, integration, and system testing to ensure that the product delivered is of high quality.
• Support the Planning of test schedules in accordance with project scope/delivery dates and ensure that the timelines are adhered to without fail.
• Have very good knowledge of SDLC and STLC life cycles and working knowledge in agile.
• Work as part of cross-functional, passionate agile project teams to ensure quality is driven into the heart of the development process from requirements definition through to delivery.
• Contributing toward predictable delivery of quality releases.
• Be meticulous about documentation and maintaining a robust log of all test cases and test results.
• Very good at manual testing of web and windows based applications, web services testing, and integration testing of a complex system, iOS and Android applications.
• Defect Tracking and Reporting of bugs to developers so as to fix it and follow-ups.
• Lesson Learnt documents (based on testing inputs from the previous project)
• Suggestion Documents (to improve software quality)
• Leads test processes and delivers results to necessary stakeholders.
• Reviews changes or upgrades to existing tests, tools, and testing protocols.
• Good to have knowledge over Stockbroking applications, financial and capital market domain.

Desired Technical Skills and Experience

• Experience with Web Applications, iOS, and Android Applications.
• Passionate about understanding the application end to end.
• Effective communication skills to interact with internal stakeholders.
• Experience with Agile/Waterfall methodologies.
• Adaptable to the current requirement.
• High-level problem-solving skills, and the ability to project manage Knowledge of defect management process
• Strong understanding of software concepts and ability to quickly grasp new products and technologies.