


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 xpressbees
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Job Title: Sales Executive – Building Material Industry
Location(s): Ankleshwar, Bharuch, Surat, Mumbai, Palghar, Dahej
Experience Required: Minimum 2 Years
Industry: Building Material (AAC Blocks, ALC Wall Panels, Cement, Tiles, etc.)
Job Summary:
We are seeking an experienced and target-driven Sales Executive with proven expertise in the building material industry. The ideal candidate should have hands-on experience in selling products such as AAC blocks, ALC wall panels, cement, tiles, or similar construction materials. The candidate will be responsible for developing sales in the assigned region, building strong relationships with builders, contractors, architects, and dealers, and ensuring revenue growth.
Key Responsibilities:
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- Promote and sell products like AAC blocks, wall panels, cement, and tiles.
- Conduct regular site visits, customer meetings, and product demos.
- Maintain and expand the customer database in the assigned territory.
- Track competitor activities and provide market intelligence reports.
- Ensure timely collection of payments and manage accounts receivable.
- Coordinate with logistics and back-end teams for order fulfillment.
- Participate in industry events, exhibitions, and promotional activities.
Key Requirements:
- Minimum 2 years of sales experience in building materials (AAC blocks, cement, tiles, etc.).
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- Excellent communication, negotiation, and presentation skills.
- Willingness to travel extensively within the assigned territory.
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mail updated resume with current salary-
Email: etalenthire[at]gmail[dot]com
satsh: 88O 27 49 743
Are you someone who loves making sure things just work? Do you get a kick out of finding bugs before anyone else does? If you’re excited about building reliable, user-friendly software and want to be part of a fast-growing SaaS startup, we’d love to meet you! Pullse AI is looking for a QA Engineer who’s ready to roll up their sleeves and help us deliver a top-notch product.
About Pullse
Pullse is a SaaS startup on a mission to change the way customer support works, using the power of AI. Our platform brings all support channels together, streamlines workflows, and helps businesses deliver better customer experiences. We believe in giving our team the freedom to make an impact, work transparently, and grow together.
What You’ll Do
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- Manual & Automated Testing: Run manual tests to catch those tricky edge cases, and build automated tests to make sure nothing slips through the cracks as we move fast.
- Bug Hunting: Log, track, and help squash bugs. You’ll be the go-to person for making sure issues are found and fixed before our users ever see them.
- Automation & CI/CD: Set up and maintain automated test frameworks, and make sure our tests run smoothly in our CI/CD pipelines.
- AI & Data Testing: Help validate our AI features, check model outputs, and make sure our data pipelines are working as expected.
- Quality Metrics & Reporting: Keep an eye on quality metrics and share clear, honest feedback with the team.
- Continuous Improvement: Join in on Agile ceremonies, suggest improvements, and help us get better every sprint.
What We’re Looking For
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 1–3 years of experience in software quality assurance, ideally in SaaS or AI-driven environments.
- Hands-on experience with both manual and automated testing for web apps, APIs, and AI systems.
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- Solid understanding of the software development lifecycle and Agile/Scrum.
- Great problem-solving skills, attention to detail, and a collaborative attitude.
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- A collaborative, transparent, and growth-oriented culture.
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If you’re excited about making sure our next-generation customer support platform is rock-solid, we’d love to hear from you! Send us your resume and a quick note about why you think you’d be a great fit.
Let’s build something amazing together at Pullse AI! 🚀
As a Product Manager at Brainstorm Force, you’ll be at the forefront of shaping the direction of our WordPress products and SaaS applications, bridging the gap between stakeholders, development teams, and customers.
From conducting market research and defining product roadmaps to overseeing feature delivery, acceptance testing, and post-launch optimization, you’ll play a pivotal role in driving product innovation, enhancing user experiences, and achieving business objectives.
Key Responsibilities:
Product Vision and Strategy:
- Define the overarching vision and strategic goals for our product portfolio.
- Conduct market research, competitor analysis, and gather customer feedback.
- Identify opportunities for product differentiation and innovation.
Roadmap Planning and Prioritization:
- Develop product roadmap, prioritize features based on business objectives and customer needs.
- Collaborate with cross-functional teams to ensure alignment (development, support and marketing)
Product Mockups:
- Work closely with the team to plan product features and create mockups.
- Ensure that product designs align with user needs and business objectives.
Feature Definition:
- Work closely with the team to define user stories, acceptance criteria, and feature specifications.
- Prioritize features based on their impact on users, revenue and market competitiveness.
Feature Acceptance:
- Conduct final acceptance testing to ensure that features meet quality standards.
- Provide the final go-ahead for product releases based on acceptance testing results.
- Ensure adherence to timelines.
Stakeholder Engagement and Communication:
- Engage with stakeholders and align customers satisfaction with business goals.
- Communicate product vision, roadmap, and progress to internal teams and external stakeholders.
Required Skills and Qualifications:
- In-depth knowledge of WordPress ecosystem and familiarity with relevant technologies.
- Understanding of user needs and business objectives
- Ability to prioritize features based on their impact on user satisfaction and business goals.
- Strong analytical skills with the ability to translate data insights into actionable strategies and plans.
- Excellent communication and interpersonal skills, with the ability to engage with stakeholders.
- Experience working in tools like Jira, Linear, etc for backlog management.
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Your Success:
Your success will be measured by following KPIs that reflect the impact of your contributions:
Product Growth and Revenue:
- Market share or penetration of the product compared to competitors.
- Revenue generated by the product.
- Percentage growth in product revenue over time.
Customer Satisfaction and Retention:
- Net Promoter Score (NPS) or customer satisfaction survey results.
- Customer retention rate or churn rate.
- Customer feedback and sentiment regarding overall product experience.
Product Performance and Market Positioning:
- Market share or competitive positioning of the product.
- Customer perception of product differentiation and value proposition compared to alternatives.
Innovation and Product Roadmap Execution:
- Rate of new feature delivery or innovation.
- Percentage of product roadmap milestones achieved on schedule.
- Adoption rate of new product features or enhancements.
Team Collaboration and Alignment:
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We are seeking a talented Java Full Stack Developer to join our team.
We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team. As a Java Full Stack Developer, you will be responsible for designing, developing, and maintaining enterprise applications using Java and Angular.
You will collaborate with cross-functional teams to define, design, and ship new features, and you will work closely with Architects to ensure the technical feasibility of designs and implement them accordingly.
Required Skills:
- Exp. - 5 to 9 years.
- Experience in Core Java 8 and above, Spring (including Core, WebMvc, Batch, Cloud etc).
- Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
- Should be able to analyze, design, develop and test complex, low-latency client-facing applications.
- Develop user interfaces for modern web applications using Angular.
- Experience with HTML5, CSS3, and JavaScript.
- Good development experience with RDBMS, preferably DB2/Sybase databases.
- Good knowledge of multi-threading and high-volume server-side development.
- Basic working knowledge of Unix/Linux.
- Excellent problem solving and coding skills in Java.
- Strong interpersonal, communication and analytical skills.
- Should be able to express their design ideas and thoughts.
Good to have Skills:
- Prior experience in investment banking / capital markets.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of DevOps practices and CI/CD pipelines.
- Familiarity with Agile methodologies.
- Contributions to open-source projects.
- Relevant certifications (e.g., Angular, Java).
The Role:
A seasoned, experienced Enterprise SaaS sales & business development leader to join the growing company's leadership team. In this role, you are responsible for developing and executing sales and go-to-market strategies that help achieve new client sales & revenue goals for the company. The VP of Business Development & Sales will also work closely with other stakeholders to drive strategic direction and resource allocation for the company.
Key Responsibilities -
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- Full Sales Cycle Ownership: Tactfully and strategically enable the team to follow up with the prospects regularly, host the commercial negotiations and drive the needed urgency towards deal closures.
- Partnerships & Influencer Management: Actively discover, acquire and engage with strategic partners/industry influencers, consultants and resellers to drive an efficient channel of demand creation and client acquisition across multiple geographies
- Data & Process Driven-You obsess with data, analytics and processes to ensure repeatability and consistency around meeting & exceeding the Quarterly goals and also enabling data-led experimentation in short delivery cycles.
- Team Management - Manage a team of Sales representatives responsible for selling Enterprise Software and New Customer Acquisition
Skills Required:
- Strong understanding of company positioning, pricing, and business development strategies for complex Enterprise SaaS Companies
- Extensive experience negotiating terms and closing contracts for business
- Strategic thinker with strong storytelling skills and written communication
- Strong cross-functional partner, particularly with Product, Marketing and Client Management teams.
- Experience of selling to the US from India
Responsibilities :
- Lead the development of the backend systems for our client's first product.
- Build reliable, secure, and performant backend systems.
- Drive test coverage and continuous delivery automation within the team.
- Mentor and provide feedback to teammates.
- You should have a min of 8 years of software development experience and management.
- Can write code that is readable, maintainable, secure, and performant.
- Know the importance of tests and how to approach writing different types of tests, good intuition for REST API design
- Deep understanding of relational databases, transactions, entity-relationship modeling.
- Comfortable writing highly concurrent systems.
- Experienced in using profilers, tuning garbage collection, optimizing SQL queries.
Desired Skills :
- Golang, Java, Python, Ruby, Node.


Experience Required - 2 years to 6 years
Salary -60 to 70k
Location -A-45 Atrium of Quark city Mohali
Requirements:
We are looking for a Ruby on Rails developer responsible for managing the interchange of
data between the server and the users.
-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
• Design and code the excellent workflow, features, or modules in the Simplify360 suite.
• Tackle challenging engineering and product problems, create solutions to customer's problems.
• Create new ideas with our design teams to continually iterate on the experience.
• Work cross-functionally to evaluate the relative importance of and need for product initiatives.
• Take ownership of modules from design to implementation and deployment.
Requirements
• Great software design and development skills. Deep knowledge of design, coding, and implementation.
• Ability to work both independently and in cooperation with others.
• A sense of urgency and ownership over the product.
• Comfortable with full-stack projects and able to build a minimum working and prototypes quickly.
• Fluency with both front-end (e.g., html/css/javascript, bootstrap, jquery) and back-end technologies used, primarily Core Java, J2EE, Struts, Hibernate.
• Knowledge of Solr, Kafka would be an added advantage.
• Knowledge of Big Data solutions like Hadoop, HBase would be an added advantage.
• Great attitude towards work and people.





