


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
About
Similar jobs
Job Description
As part of our role at a leading global insurance company, we are responsible for developing and managing an application to onboard and oversee the company's sales partners, including agents and brokers. This application provides users with a tailored, independent solution, including a required multi-dimensional validity date concept for administering all organizational and contractual sales force data to deliver structured information to many data consumers.
To reinforce our dynamic development team, we are seeking a skilled Backend or Full-stack Developer. In this role, you will collaborate with international cross-functional teams to design, develop, and deploy high-quality software solutions.
Responsibilities
Design, develop, and maintain the application, ensuring high performance and responsiveness.
Write clean, efficient, and reusable code.
Implement new features and functionality based on business requirements.
Participate in system and application architecture discussions.
Create technical designs and specifications for new features or enhancements.
Write and execute unit tests to ensure code quality.
Debug and resolve technical issues and software defects.
Conduct code reviews to ensure adherence to best practices.
Identify and fix vulnerabilities to ensure application integrity.
Work with frontend developers to ensure seamless integration of user-facing elements.
Collaborate with DevOps teams for deployment and scaling.
Design and implement workflow automation using Camunda BPM, integrating it with backend services and ensuring efficient process execution.
Optimize and maintain business process models and workflow orchestration using Camunda.
Troubleshoot and enhance Camunda BPMN workflows, DMN decision tables, and process automation configurations.
Requirements
Bachelor's degree in computer science, Information Technology, or a related field.
Proven experience as a skilled Backend or Full-stack Developer. Experience in the insurance domain is appreciated.
Strong experience with Spring Boot 3, Java 17 or newer, and Maven.
Experience with PostgreSQL, Jenkins, Sonar, Dynatrace, Kubernetes, Mockito, IntelliJ IDEA, and GitHub repository.
Hands-on experience with Camunda BPM (v7 or v8), including BPMN workflows, DMN decision tables, and REST API integration.
Experience with Angular TS and/or AWS, Kafka is a plus.
Excellent problem-solving and debugging skills.
Strong communication and collaboration abilities to work effectively in a team environment.
Qualification : D.C.P. / D.N.B. (Pathology) / M.D. (Pathology)
Location : Junagadh , bhuj and gandhidham
Salary : 1.5 to 2.5

Eligibility Criteria:
- Advanced knowledge of Magento, JavaScript, HTML, PHP, CSS, and MySQL.
- Coding of the Magento templates.
- Developing Magento modules in PHP using best practices.
- Experience with complete eCommerce lifecycle development.
- Understanding of modern UI/UX trends.
- Knowledge of Google Tag Manager, SEO, Google Analytics, PPC, and A/B Testing.
- Integration of Magento to SAP or similar ERP systems
Responsibilities:
· Identify strong potential prospects and generate quality leads from designated target geographies.· Using different online research tools to extract the contact information of prospects.
· Handle the initial discussions and collect the strategic information about the prospects through cold calling, e-mailing LinkedIn, and other sources.
· Identify the decision-maker through different channels and ensuring the optimum conversion within a short span of time.
· Understand complex requirements of the prospects and bringing up the projects for the company.
· Continue prospect engagement and account management throughout the sales cycle until closure.
· Independently collaborate with the technical
· team for presentation with prospects.
Skill & Experience Required
· Good written and oral communication without MTI is a must
· Strong research and analytical skills.
· Proficient with international Call Centres with a minimum of 1-2 years of US & Australian IT project acquisition experience.
· Strong interpersonal skills, ability to handle the profiles independently and in a team.
We are looking to hire an Angular Developer to join our dynamic team. You will be responsible for creating a top-level coding-base using Angular best practices. Your role will require you to implement an exciting fixes or creating a new modules based on the requirtments provided.
To ensure success as an Angular Developer, you should have extensive knowledge of theoretical software engineering, be proficient in JavaScript, HTML, and CSS, a top-class Angular Developer can design and build a streamlined application to company specifications that perfectly meet the needs of the user.
AngularJS Developer Responsibilities:
- Designing and developing user interfaces using Angular8 or above with best practices.
- Adapting interface for modern internet applications using the latest front-end technologies.
- Writing JavaScript, CSS, and HTML.
- Developing product analysis tasks.
- Making complex technical and design decisions for Angular projects.
- Conducting performance tests.
- Consulting with the design team.
- Ensuring high performance of applications and providing support.
AngularJS Developer Requirements:
- Bachelor’s Degree in Computer Science, Computer Engineering or similar.
- Previous work experience as an AngularJS Developer.
- Proficient in CSS, HTML, and writing cross-browser compatible code.
- Experience using JavaScript building tools like Gulp or Grunt.
- Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS & Angular 8+.
- Excellent project management skills.
- Proven experience implementing front-end and back-end JavaScript applications.
- Excellent communication skills.
- Critical thinker and good problem-solver.
About the Role
We are looking for a Quality Assurance (QA) engineer to develop and execute exploratory and automated tests to ensure product quality. QA engineer responsibilities include designing and implementing tests, debugging, and defining corrective actions. You will also review system requirements and track quality assurance metrics (e.g. defect densities and open defect counts.)
Responsibilities
Excellent command of Manual Testing and Automation Testing (Any tool).
Good knowledge of UI automation using Selenium or equivalent
Good knowledge in writing advanced SQL queries and data validation techniques Solid knowledge of SDLC and STLC concepts, Functional Testing
Fundamentals Good Experience of working in an Agile environment
and Expected skillset (Good to have)
Experience working with defect management tools like JIRA Well versed with all types of testing artifacts.

The ideal candidate will be responsible for designing, developing, testing, and debugging responsive web and mobile applications for the company. Using React Js, MySQL, JavaScript, HTML, and CSS, this candidate will be able to translate user and business needs into functional frontend design.
Responsibilities
- Must have
- Experience with React and Redux or similar programming
- Experience in Rest API integration
- Passionate about user experience
- Android and IOS development
- Other requirements
- Good knowledge of Javascript functions and operators
- Responsibility for major tasks and chores
- Willing to resolve technical debt in the early step
- Good understanding of sprint cycle in agile
- Can communicate with developers and non-developers
- Can work independently but a great collaborator
- Serverless API experience is not counted
- Good to have Git workflow knowledge
- Good to have Github collaboration experience
Qualifications
- Bachelor's degree or equivalent in Computer Science
- 2+ years experience in frontend development
- Familiarity using Scrum/Agile development methodologies
- Experience building object-oriented web applications in React Js, MySQL, JavaScript, HTML5, and CSS3
US IT Recruiter - JOB DESCRIPTION
Being involved in the end-to-end recruitment process, including sourcing, shortlisting, scheduling follow-up, and joining
Sourcing from job portals, databases, references, and other sources
Validating the resumes based on checklists
Communicating with the candidates with status updates, reference requirement, etc
Maintaining relationships with the candidates to get references and spread networking
Managing consultant relationships. Administering the selection process/procedure effectively in all recruitments, and working toward process improvement
Adhering to compliance procedures and internal/operational risk controls in accordance with any and all applicable regulatory standards, requirements, and policies
DESIRED SKILLS AND EXPERIENCE:
Experience: - 3-6 years of relevant experience on IT recruitment.
Different work visas (CPT, OPT, EAD, GC, TN, E3 etc), tax terms (C2C, W2, 1099) and employment types & US geography and different time zone.
Good communication skills to coordinate
Ability to work as a team player, with excellent interpersonal skills
Should be self-motivated
Should be analytical and result oriented to complete tasks within timelines
Good presentation skills with strong willingness to take ownership
Excellent knowledge of MS Office
Excellent in numbers with good attention to detail
Excellent analytical and problem-solving skills
Ability to work under pressure to meet agreed deadlines
Organized, Passion, energy, and enthusiasm to drive results

