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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About xpressbees
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KubernetesAbout Searce
Searce is a global, AI-native, engineering-led technology consultancy and a Premier Google
Cloud Partner — recognized as the Google Cloud Workplace AI Transformation Partner of the
Year, APAC (2026). With 20+ years of experience and 3,000+ clients across 10+ countries, we
help businesses stay ahead of the cloud curve.
The Role
We're looking for a Lead Cloud Security & Reliability Engineer with deep GCP expertise to own
end-to-end cloud reliability and security forAPAC enterprise clients. As Lead, you'll set the architectural direction, mentor your squad, and drive measurable client outcomes across multi-
cloud environments.
What You'll Do
Own Client Delivery — Lead 24x7 GCP cloud operations forAPAC clients. Define SLO frameworks and ensure adherence.
Architect Solutions — Design scalable, secure GCP-primary architectures with multi-cloud awareness.
Drive Reliability — Lead incident response, RCA, and long-term remediation across production systems.
Mentor & Elevate — Coach and grow a squad of Senior CSREs.
Drive FinOps — Own cloud cost governance and optimization with quantified impact.
Be the Expert — Represent Searce's technical depth in global client conversations.
What We're Looking For
Experience
7–12 years total with 5+ years on GCP cloud infrastructure
Strong background in Cloud Managed Services / MSP environments
Proven experience leading a team in client-facing delivery
Multi-cloud exposure (AWS/Azure secondary) preferred
Technical Skills (Must-Have)
- GCP: GKE, IAM, VPC, Cloud Monitoring, Stackdriver, KMS — demonstrated in work
- experience
- Kubernetes: GKE — production cluster management, Helm
- IaC: Terraform — module-level, reusable frameworks
- Observability: Prometheus, Grafana, Thanos or equivalent
- Security: IAM, Zero-trust, DevSecOps, CSPM tools
- Scripting: Python or Go
- FinOps: GCP cost governance demonstrated
Nice to Have
- GCP Professional Cloud Architect / Pro DevOps Engineer certification
- AWS / Azure secondary experience
- CKA (Certified Kubernetes Administrator)
- ITIL / change management awareness
- APAC client delivery experience
Why Searce?
🏆 Google Cloud Partner of the Year — APAC 2026
🌍 Work with APAC enterprise clients across multiple industries
🤖 AI-first, engineering-led culture
📈 Lead-level ownership with real career growth
🤝 HAPPIER values — Humble, Adaptable, Positive, Passionate, Innovative, Excellence,
Responsible
About us:
Corporater is a global software company that enables medium and large organizations worldwide to manage their business with integrated software solutions for governance, performance, risk, and compliance (GPRC) built on a single platform. Corporater provides the world's leading Business Management Platform which offers 'One View, One Platform' for a holistic and complete overview of business.
Our signature solutions include Integrated Risk Management, Enterprise Risk Management, Operational Risk Management, Business Continuity Management, Internal Audit Management, Operational Resilience, Regulatory and Organizational Compliance Management, Data Privacy Management, Project and Portfolio Management, Performance Management, Strategy Management, and others. All Corporater solutions can be used straight out of the box as point solutions, or in combination with other Corporater solutions to form a holistic GRC program.
Corporater solutions are used by top organizations in various industries and functions, including state and local government, energy, education, banking and finance, oil and gas, shipping, manufacturing, healthcare, communications, technology, logistics, food and agriculture, media, and non-profit.
About the Role:
As a GRC Implementation Consultant, you will be responsible for configuring, customizing, and deploying Corporater’s GRC solutions to help organizations manage risk, ensure regulatory compliance, and strengthen governance processes.
You’ll collaborate with business leaders, compliance teams, and IT stakeholders to understand their requirements and implement solutions that improve operational efficiency and regulatory adherence.
This is a client-facing role that involves working with global enterprises, requiring both technical expertise and strong consulting skills.
You will, from time to time, be required to travel overseas (Middle East /Europe) and must have a valid passport. We will accommodate any visas required.
Key Roles & Responsibilities:
Implementation & Solution Design
Ø Lead requirements gathering workshops with clients to understand their governance, risk, and compliance needs.
Ø Analyze business processes and regulatory requirements to design GRC workflows and automation strategies.
Ø Configure Corporater’s Business Management Platform to support risk management, policy enforcement, internal audit, and regulatory compliance.
Ø Develop custom workflows, dashboards, and business rules based on client requirements.
Ø Ensure solutions are designed to scale and integrate seamlessly with enterprise IT ecosystems (e.g., ERP, IAM, ITSM, Data Analytics).
Ø Provide technical leadership in aligning solution design with industry standards (e.g., ISO 27001, NIST, GDPR, SOX, PCI-DSS).
Technical Configuration & Customization:
Ø Customize GRC modules and workflows to fit specific business use cases.
Ø Implement role-based access controls (RBAC), risk assessments, and compliance tracking systems.
Ø Design and configure risk heatmaps, KPI reports, and dashboards to provide actionable insights.
Ø Develop data connectors and API integrations to enable seamless data exchange between Corporater’s platform and enterprise systems.
Ø Optimize system performance, security, and usability through best practices in deployment.
Ø Troubleshoot and resolve technical issues related to solution implementation and configuration.
Client Engagement & Project Execution:
Ø Act as a trusted advisor, providing GRC best practices and compliance strategies to clients.
Ø Lead end-to-end solution deployments, from initial planning to post-go-live support.
Ø Conduct UAT (User Acceptance Testing) sessions with business users and make necessary refinements.
Ø Ensure clients maximize adoption of the platform by aligning solutions with their strategic goals.
Ø Maintain detailed documentation of implementation steps, configurations, and best practices.
Training & Support:
Ø Develop user guides, technical documentation, and knowledge base articles to support clients.
Ø Conduct training sessions for end-users and administrators to ensure smooth adoption.
Ø Provide post-implementation support to troubleshoot issues and fine-tune configurations.
Ø Continuously improve implementation methodologies to enhance efficiency and client satisfaction.
Continuous Learning & Innovation:
Ø Stay updated on emerging GRC regulations, risk management trends, and compliance best practices.
Ø Contribute to internal knowledge-sharing by documenting best practices and lessons learned from projects.
Ø Work closely with Corporater’s Product and Engineering teams to provide feedback for platform enhancements.
What You’ll Need to Succeed:
Ø Bachelor’s degree in Engineering, Computer Science, or a related field.
Ø 3-5 years of experience implementing GRC solutions (e.g., Corporater,RSA Archer, MetricStream, ServiceNow GRC, OneTrust, or similar) for Implementation Consultant role.
Ø 7-10 years of experience implementing GRC solutions (e.g., Corporater, RSA Archer, MetricStream, ServiceNow GRC, OneTrust, or similar) for Sr.Implementation Consultant role.
Ø Strong understanding of risk management & compliance frameworks (e.g., ISO 27001, NIST, SOX, GDPR, PCI-DSS).
Ø Hands-on experience in workflow automation, business rules configuration, and role-based access control.
Ø Technical expertise in API-based integrations, SQL databases, and reporting tools.
Ø Excellent problem-solving, communication, and client-facing skills.
Ø Ability to manage multiple projects and work in a fast-paced, dynamic environment.
Bonus Points if You Have:
Ø Experience with cloud-based GRC solutions.
Ø Familiarity with third-party risk management, IT risk, or internal audit frameworks.
Ø Working knowledge of data analytics, AI-driven risk assessment, or regulatory compliance automation.
Thanks & Regards
Job Title: Business Development Associate / Sr.BDA🌟
Domain: EdTech Sales 💻
Location: Gurgaon - Onsite 📍
Salary: ₹7LPA - ₹8.4LPA💰 : BDA
🌟 Role Overview:
We are looking for a dynamic Business Development Associate (BDA) to join our fast-growing team! 🚀 As a BDA, you will play a key role in driving our sales efforts by connecting with prospective students, understanding their career goals, and guiding them on how we can help them achieve success in the tech industry. 💡 You’ll be responsible for qualifying leads, nurturing relationships, and closing deals to meet and exceed sales targets. Your role will directly contribute to our mission of shaping the future of tech professionals in India! 🌍
🔑 Key Responsibilities:
- Client Engagement: Start conversations with potential students, understand their career aspirations, and offer personalized advice on how our programs can help them succeed in the tech industry. 🗣️
- Lead Qualification: Evaluate prospects' goals and align them with our offerings to ensure a strong fit. 🔍
- Follow-up & Nurturing: Regularly follow up with potential clients, maintain engagement, and highlight the unique value we can offer in their career journey. 💬
- Sales Achievement: Strive to meet and exceed individual and team sales targets through a proactive and results-driven approach. 🏅
- Product Knowledge: Stay updated on our program offerings and continuously improve your knowledge to provide expert guidance to prospective students. 📚
📋 Requirements:
- Experience: Fresher with an interest in sales or business development. 🎯
- Education: Bachelor’s degree in any stream. Preferred: B.Tech, MCA, BCA, MBA, M.Tech. 🎓
Skills:
- Strong verbal and written communication skills in English. 📝
- Excellent customer engagement skills, focused on relationship-building. 🤝
- Passion for sales and achieving targets. 💪
- Ability to explain complex ideas in a simple, engaging manner. 💡
- Technical Knowledge: Basic understanding of LeadSquared (LSQ) CRM or other CRM tools is a plus. 📊
🌟 Preferred Skills:
- Prior experience in K12+ EdTech Sales or the education domain. 🏫
- Familiarity with tech products and services. 💻
- Experience handling sales with a ticket size of ₹50,000 or higher. 💸
🎁 Perks & Benefits:
- Competitive Salary: Best in the industry with performance-based incentives. 💰
- Health Insurance: Comprehensive coverage for employees. 🏥
- Cell Phone & Internet Reimbursement: Stay connected while working. 📱💻
- Life Insurance & Paid Sick Leave: For peace of mind and well-being. ❤️
- Provident Fund: Secure your future with savings for retirement. 📈
- Commission Pay: Earn additional commissions based on sales performance. 🎉
Bonus Structure:
Performance Bonus based on monthly targets. 📅
Quarterly & Yearly Bonuses for exceeding sales goals. 🎯
🕒 Work Schedule:
Working Days: Wednesday to Sunday (Fixed Monday & Tuesday off) 📅
Shift Timings: 12 PM - 9 PM ⏰
Work Type: Full-time, On-site 🏢
C++WheelsEye is India's leading SAAS-based platform in formulating the next tech-enabled logistics revolution. We offer technology that connects truck fleet owners & SMEs and helps them to automate operations, secure fleets, save costs, improve on-time performance, and streamline their business.
We have a young and energetic team of IITs, NITs, IIMs & top B-Schools employees serving PAN India. We go to great lengths to hire the best talent who are deeply aligned with our values.
We at WheelsEye, believe in fostering a sense of intrapreneurship, promoting team bonding, and creating a positive and friendly work culture where you will feel valued and motivated to do the best work.
Role:- Senior Firmware Developer
Requirements
Core skills:
- Proficiency in programming, specifically Embedded C and C++
- Understanding of Hardware components (Sensors, MCUs, Actuators, Antenna)
Core Experience
- Over 4 years of hands-on experience in Embedded Systems
- Prior experience in building IOT Gateway
- Previous experience in designing FOTA
- Previous experience in the telematics/DMS would be advantageous
- Teamwork
Javascript
HTML/CSS
jQueryWordPress Developer Responsibilities:
- Meeting with clients to discuss website design and function.
- Designing and building the website front-end.
- Creating the website architecture.
- Designing and managing the website back-end including database and server integration.
- Generating WordPress themes and plugins.
- Conducting website performance tests.
- Troubleshooting content issues.
- Conducting WordPress training with the client.
- Monitoring the performance of the live website.
WordPress Developer Requirements:
- Bachelor’s degree in computer science or a similar field.
- Proven work experience as a WordPress developer.
- Knowledge of front-end technologies including CSS3, JavaScript, HTML5, and jQuery.
- Knowledge of code versioning tools including Git, Mercurial, and SVN.
- Experience working with debugging tools such as Chrome Inspector and Firebug.
- Good understanding of website architecture and aesthetics.
- Ability to manage projects.
- Good communication skills.
We are looking for a Technology Leader to help us build the next-generation InsureTech platform from scratch. You will work with an amazing set of engineers on some of the most challenging tech problems and impact million of lives.
Responsibilities:
- Define the technical architecture for Vital
- Complete responsibility of the development of the backend, web app, and the native app
- Recruit, manage and mentor a team of frontend developers, backend developers and quality engineers
- Ensure timely delivery of all features
- 50% of the time will be in the actual development and 50% in code reviews, management and building the team
Requirements:
- 10+ years of application development experience in a good product company
- Expert knowledge of data structures, algorithms, databases, and caching technologies
- Must have managed a team of developers and QA engineers
- Must be hands-on with coding and development
- Undergrad CS degree from NIT or a good regional college is a MUST
Working primarily in television and radio, Broadcast Engineers are responsible for the
installation, maintenance and operation of all broadcast-related equipment. They also
provide technical support in the arenas of film, concerts and music recording, ensuring the
quality production and transmission of both audio and video.
Broadcast Engineer Duties and Responsibilities
In order to provide technical support for all broadcast equipment, a Broadcast Engineer
performs many different tasks. We analyzed job listings for Broadcast Engineers in order to
identify these core duties and responsibilities.
Install Broadcast Equipment
The Broadcast Engineer is responsible for receiving and installing all new audio and visual
equipment. They must be capable of reading and understanding schematics and technical
manuals in order to effectively follow installation instructions.
Maintain Broadcast Equipment
The Broadcast Engineer is responsible for performing regular maintenance on all broadcast
equipment as well as preventative maintenance. This includes performing regular software
and hardware updates. Broadcast Engineers must be extremely knowledgeable regarding all
broadcast technology in order to effectively care for equipment and ensure that it does not
fail.
Troubleshoot Problems
Often working within time-sensitive environments or for live broadcasts, the Broadcast
Engineer must be able to quickly troubleshoot and diagnose video and audio issues. This
includes performing extensive testing before a recording or transmission, as well as solving
any problems that arise once a broadcast has begun. They may also have to communicate
with third parties, such as the equipment vendors, in order to troubleshoot and resolve
technical issues.
Repair Broadcast Equipment
Once a problem is diagnosed, the Broadcast Engineer, sometimes in conjunction with other
team members, is responsible for finding a solution and completing repairs to the equipment
until it is functioning well again. Often these repairs must be completed in a timely manner.
The Broadcast Engineer is also responsible for identifying when repairs are not possible and
new equipment must be ordered.
Recommend Enhancements
In order to stay updated with changing technologies and maintain excellent broadcast
quality, the Broadcast Engineer must come up with solutions for continual broadcast
improvement. This includes providing the company or studio with recommendations for
equipment updates, enhancements and modifications, and then performing them. Broadcast
Engineers also make suggestions for new technology and equipment when necessary.
Broadcast Engineer Skills
Broadcast Engineers must be able to solve complex problems in a timely manner. Often
working on strict deadlines or within live production environments, Broadcast Engineers
must be calm under pressure, have excellent time management skills and the ability to recall
extensive technical knowledge quickly. They must be detail-oriented in order to identify and
prevent potential technical issues. They must be able to prioritize and shift work priorities
quickly, maintaining flexibility and quick response time.
Core skills: Based on job listings we looked at, employers want Broadcast Engineers with
these core skills. If you want to work as a Broadcast Engineer, focus on the following.
Having broadcast or IT experience
Obtaining some technical education
Becoming proficient in Windows, Apple, and Linux operating systems
Possessing computer network or network security knowledge and training
Exhibiting experience in maintaining and operating transmission equipment
Having knowledge of audio and video software and applications
Demonstrating an ability to interface with clients and other departments
Advanced skills: While most employers did not require the following skills, multiple job
listings included them as preferred. Add these to your Broadcast Engineer toolbox and
broaden your career options.
- Managing the channel sales of districts coming under your area.
- Hiring marketing team to manage sales in the respective districts, blocks & panchayats coming under your zone.
- To oversee sales operation with several counties in a particular geographical location.
- Reaching the target and goal set of your area.
- Establishing, maintaining and expanding your customer base.
- Establishing, maintaining and expanding your customer base
- Servicing the needs of your existing customers
- Increasing business opportunities through various routes to market.
keen to grow and foster a growing community, have been an influencer amongst your friends and community, team player
Lover interacting and helping people
You are a charismatic people person who can talk to anyone, you are flexible, fearless and excited to help build something awesome and share it with the world
You are motivated and understand the impact of highly satisfied, excited community.
Responsibilities
You will be powered with creating, fostering and supporting the community and inspire the growing community to share the BelonG Experience
Turn community members into passionate evangelists. Identify and engage community advocates
Monitor social media sites and actively participate in discussions across. Spread the BelonG love through creating exciting blogs and social content
Design, Develop programs that generate value for the community
Manage relationship with the community members, mentors, investors, and corporate partners
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Full Stack Developer - Averlon