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Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Required Skills
* Strong hands-on experience with any one of the following performance testing tools (mandatory): IBM Rational Performance Tester (RPT) (Preferable), LoadRunner, Apache JMeter.
* Proven capability to establish and run Performance Engineering cycles independently.
* Solid understanding of API performance & microservices, distributed systems & high-throughput transaction platforms.
* Strong fundamentals in SQL basics & database performance.
* Experience with Linux OS performance metrics and system-level analysis.
* Ability to interpret APM/log insights and translate them into actionable tuning recommendations.
Laravel
CodeIgniter
PHPUrgent Onsite Hiring: Location Viman Nagar Pune,
Seeking a skilled and experienced Full Stack PHP Developer to contribute to the development of scalable, secure, and high-performance digital platforms.
The role involves working with custom PHP frameworks similar to Laravel (PHP 8+, Laravel 12+), MySQL, and front-end technologies such as Bootstrap, Blade, React.js etc.
The ideal candidate will have strong expertise in full-stack development, RESTful API integration, and implementing complex workflows in a multi-stakeholder environment.
Key Responsibilities:
• Design, develop, and optimize backend modules using Laravel (PHP 8+, Laravel 12+), ensuringmodularity and scalability
• Develop and maintain RESTful APIs and integrate existing APIs.
• Build responsive UI components using Blade, Bootstrap 5, HTML5, CSS3, JavaScript, and jQuery
• Develop interactive dashboard components using React.js
• Manage user workflows including role-based access control (RBAC) and session handling
• Collaborate with UI/UX, DevOps, QA and Project Management teams to ensure timely feature delivery
• Optimize and manage MySQL schema and queries for large-scale datasets
• Use Git (GitHub/GitLab) and CI/CD pipelines for clean and versioned deployments
• Implement and manage Amazon S3 storage for secure file upload, retrieval, and deletion, including configuration of S3 buckets, IAM permissions, pre-signed URLs, and storage lifecycle policies
• Ensure adherence to GIGW 3.0, CERT-In, and accessibility/security standards
• Ensure code quality, performance, and security of the applications
• Participate in requirement analysis, system architecture, and technical design discussions
• Write clean, modular, and well-documented code, following modern development standards
• Troubleshoot and debug issues, implementing fixes and performance improvements across layers
• Adhere to software development best practices and agile methodologies
Required Skills and Qualifications:
• Bachelor’s degree in computer science, IT, or related field
• Minimum 3 years of hands-on experience in full stack development
• Expertise in Laravel (PHP 8+) and MySQL, including schema optimization
• Strong knowledge of HTML5, CSS3, JavaScript, jQuery, Bootstrap, and other modern front-end tools
• Experience using AI-powered tools for development, code generation, testing, documentation, or productivity enhancement (e.g., GitHub Copilot, ChatGPT, Postman AI)
• Proven experience in both developing and integrating RESTful APIs, including third-party or government APIs
• Hands-on experience with React.js for building dashboards or dynamic user interfaces
• Experience integrating Power BI dashboards or frontend visualization libraries
• Understanding of RBAC, secure authentication, and session/token management
• Working knowledge of Git-based version control systems, CI/CD workflows, and modern deployment tools(e.g., GitLab CI, Laravel Forge)
• Implement and manage Amazon S3 storage for secure file upload, retrieval, and deletion, including configuration of S3 buckets, IAM permissions, pre-signed URLs, and storage lifecycle policies
• Exposure to Agile development and cross-functional team collaboration
About the Company:
Our client has created a sustainable livelihood program for urban disadvantaged youth. Fostering agency, workplace competencies, and skills in youth, unleashes social and economic transformation in the communities that the youth come from. The organization runs through a public-private partnership that empowers the Government, Corporates, NGOs, and Citizens to work together toward changing lives. The provision of location and capital expenditure for the organization is taken care of by the Government. Corporates contribute through CSR funds to provide operational expenses. NGOs come on board to provide various skilling courses to the youth. We are growing at a fast pace in various other cities in India.
Job Details:
Designation: Employment Engagement Manager
Reporting structure: Will be reporting to the Project Manager
Base Location: Pune, Maharashtra
Roles and responsibilities:
1. Develop, strengthen and proactively connect with new employers to increase our youth’s opportunities to secure a sustainable livelihood.
2. Maintain and strengthen current employer engagement activities including employer events, and support the Mentoring Programme and management of the vacancy portal and customer relationship management tool/platform to reflect the needs of our youth and maximize opportunities for employers to engage with our students.
3. Understand the context of youth enrolled in the program in order to inform and identify areas of action and use statistical analysis to improve employer engagement activity.
4. Establish, strengthen, and evaluate effective communication with skilling partners, trainers, mentors, and youth.
5. Working with the Program Head in partnership with central placement cells, and other programs within the organization to establish and evaluate priorities and provision.
6. Be responsible for the effective income generation of the youth above minimum wages.
7. Use expert knowledge, research, creative ideas, and activities to identify new opportunities for collaboration, within industry and across employment sectors, to enhance our delivery of activities to students to support their career planning and development.
8. Undertaking monitoring of progress via regular 1:1 meetings, positive engagement and communication with employers, and tracking the progress of our placed youth.
Eligibility:
● Any Graduate/Post Graduate with 5+ years of experience in the logistics sector, preferably from a corporate sales background.
What are we looking for:
● Excellent verbal and written communication skills and digital comfort.
● Self-motivated with a willingness to take initiative and solve complex problems.
● Ability to thrive in a fast-paced and sometimes high-pressure environment.
● Passion for social impact and belief in the impact that can be delivered by purpose-led engagement of the workforce.
● Exceptional articulation skills (written and verbal) to present - ideas, approaches, and solutions.
● Willing to travel.
● Proficiency in Microsoft Office Suite (Word, PowerPoint, Outlook, & Excel) and Google Docs.
FlutterRole Description for the 3 month internship:-
• Create multi-platform apps for iOS & Android using Google's new Flutter development framework
• Strong OO design and programming skills in DART and SDK Framework for building Android as well as iOS Apps.
• Good expertise in Auto Layout and adding constraints programmatically
• Must have experience of Memory management, caching mechanisms., Threading and Performance tuning.
• Familiarity with RESTful APIs to connect Android & iOS applications to back-end services
• Experience with third-party libraries and APIs
• Collaborate with the team of product managers, developers, to define, design, & deploy new features & functionality
• Build software that ensures the best possible usability, performance, quality, & responsiveness of features
• Work in a team following agile development practices (Scrum)
• Proficient understanding of code versioning tools such as Git, Mercurial, or SVN, and Project Management tool (JIRA)
• Utilize your knowledge of the general mobile landscape, architectures, trends, & emerging technologies
• Get Solid understanding of full mobile development life cycle and make use of the same
• Help Develop and Deploy Good Quality UI
• Solid understanding of the full mobile development life cycle.
• Good written, verbal, organizational and interpersonal skills
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Excellent debugging and optimization skills
• Strong design, development and debugging skills.
Python
Kubernetes
DockerYears of Experience – 2-3 years
Location – Flexible (Pune/Jaipur Preferred), India
Position Summary
At Clarista.io, we are driven to create a connected data world for enterprises, empowering their employees with the information they need to compete in the digital economy. Information is power, but only if it can be harnessed by people.
Clarista turns current enterprise data silos into a ‘Live Data Network’, easy to use, always available, with flexibility to create any analytics with controls to ensure quality and security of the information
Clarista is designed with business teams in mind, hence ensuring performance with large datasets and a superior user experience are critical to the success of the product
What You'll Do
You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:
• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable product capabilities, data modeling, data queries for UI functionality, data processing for client specific needs and API development for both back-end and front-end data interfaces.
• You will build real-time monitoring dashboards and alerting systems.
• You will integrate our product with other data products through APIs
• You will partner with other team members in understanding the functional / nonfunctional\ business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions
Who you are
• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL, data federation and distributed architectures
• Excellent Python programming skills. Familiarity with Scala and Java are highly preferred
• Strong knowledge and experience in modern and distributed data stack
components such as the Spark, Hive, airflow, Kubernetes, docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc etc.
• Experience with Big Data processing and performance optimization
• Should know how to write modular and optimized code.
• Should have good knowledge around error handling.
• Fair understanding of responsive design and cross-browser compatibility issues.
• Experience versioning control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.
Good to have some exposure to
• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams
What You'll Love About Us – Do ask us about these!
• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors
Flutter
Android Development
iOS App DevelopmentDescription: Mobile App Developement using Flutter Framework and underlying various technolgies.
Company: Thingsup - An Enterprise Grade IoT Platform
Required Skills:
- HTTP APIs
- SQLite
- Firebase
- Git
- AWS
- MQTT
- IoT
- AWS Cognito
- Knowledge about Hardware IoT, ESP32, ESP8266, NodeMCU etc.
NodeJS (Node.js)
React.js
JavascriptIf you are an analytical problem solver with a strong Web Development knowledge and a passion for teamwork and innovation, we have the perfect job for you!
We are looking for a Web Developer to join our award-winning, talented team, building the next generation automated drone applications for our global customers.
As a front-end developer, you will implement a complete user interface in the form of a web app. A thorough understanding of all of the components of FlytBase platform and infrastructure is required. You will need to take ownership of your projects, which involves detailing requirements after discussion with the Product Owner, building user interfaces, developing and maintaining web apps with a focus on user experience.
We offer an outstanding team environment, flexible working hours, and various opportunities to advance your career. We are looking for a long-term relationship and committed individuals to join our team. This position is based out of our development centre in Pune, India.
Responsibilities
- Work as part of a team developing applications and services using Agile development methods
- Contribute to team and organizational improvements in process and infrastructure
- Effectively use tools and ingenuity to identify and fix defects before they become a problem
- Creating self-contained, reusable, and testable modules and components
- Learn about the domain and competitors to propose new drone apps as well as improvement for existing apps
- Collaborate on projects with a closely knit team
As a Front End Developer
- Delivering a complete front end application
- Ensuring high performance on mobile and desktop
- Writing tested and documented TypeScript/JavaScript, HTML and CSS
- Coordinating the workflow between the graphic designer, the backend developers, and yourself
- Cooperating with the back-end developer in the process of building the RESTful APIs
- Make design and technical decisions for Angular projects.
- Communicating with external web services
- Develop and maintain web apps using our FlytAPIs
As a Back End Developer
- Integration of user-facing elements developed by front-end developers with server side logic
- Design and implementation of low-latency, high-availability, and high-performance applications
- Implementation of security and data protection
- Writing reusable, testable, and efficient code
Skills/Experience
- 1-4 yr experience as an Angular 2+ or React or Ionic Developer.
- Strong expertise with NodeJS, HTML5, CSS, JSON, jQuery, Bootstrap and writing cross-browser compatible code.
- Knowledge of NodeJS frameworks such as ExpressJS etc.
- Knowledge of Creating RESTful services with Node.js and Experience with Socket.io
- Good understanding of HTML Dom manipulation Techniques
- User authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Proficiency working with source control (git) / versioning systems, continuous integration in an agile development setup
- Strong analytical skills and problem solving aptitude
- Attention to details
- Team player
- Good time-management skills
- Great interpersonal and communication skills
Good to Have
- Understanding of how to deploy Mean stack applications in AWS/Azure deployment environment, considering security, reliability, etc.
- Knowledge of other python-based server side frameworks such as Flask or Django.
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