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The Junior Executive – Billing plays a supporting role in the Commercial Department, assisting in basic billing documentation, logsheet collation, cheque deposit coordination, and data upkeep. The role ensures foundational billing tasks are completed timely and helps maintain clean records to support the department’s overall monthly billing targets.
📚 Education & Skill Requirements
• Familiar with Excel, PDF editing, and scanning
• Basic knowledge of GST, billing terminology
• Good discipline in documentation and communication (English or Hindi)
________________________________________
🔧 Key Responsibilities
📑 Billing Support & Documentation
1. Assist in collecting data and log sheets from internal teams
2. Help prepare basic RA/proforma invoices as per format
3. Print, scan, and file billing copies (soft & hard copy)
4. Courier or hand over bills via office boys for submission
📋 Log sheet & Record Keeping
1. Update and maintain log sheet records in Excel
2. Help prepare deduction templates for operator and breakdown
3. Assist in preparing billing compliance folders and GRNs
🧾 Cheque Coordination & Deposit
1. Collect cheques from admin team or site
2. Ensure timely deposit in bank or handover to accounts team
3. Maintain daily tracker of cheque pickup/deposit
📊 Reporting & Follow-up
1. Submit daily task update on group by EOD
2. Report pending work or delays to Executive / Sr. Executive – Billing
3. Keep records ready for audit and HOD reviews
Job Title: Digital Marketing Executive
Company: Alea IT Solutions
Location: Jaipur (Raja Park, Rajasthan)
Job Type: Full-time, On-site
Working Hours: 9.5 hours/day
Experience Required: Minimum 2+ year
Joining: Immediate (within 2–5 days)
About the Company
Alea IT Solutions is an IT services company focused on delivering innovative and scalable technology solutions. With a growing team and a collaborative work culture, we emphasize creativity, performance, and continuous learning.
Role Overview
We are looking for a digital marketing executive with hands-on experience in planning and executing online marketing strategies. The ideal candidate should be data-driven, creative, and capable of managing multiple campaigns.
Key Responsibilities
1. Digital Campaign Management
- Plan and execute digital marketing campaigns (SEO, SEM, social media, email marketing)
- Manage paid campaigns (Google Ads, Meta Ads, etc.)
- Monitor and optimize campaign performance
2. SEO & Content Marketing
- Perform keyword research and on-page/off-page SEO
- Optimize website content for search engines
- Coordinate with content/design teams
3. Social Media Management
- Manage company social media accounts
- Create and schedule engaging content
- Track engagement and performance metrics
4. Analytics & Reporting
- Track KPIs using tools like Google Analytics
- Prepare performance reports and insights
Requirements
- Minimum 2+ years of experience in digital marketing
- Knowledge of SEO, SEM, social media marketing
- Familiarity with tools like Google Analytics, Ads Manager
- Strong communication and analytical skills
- Immediate joiner preferred (2–5 days)
What We Offer
- Opportunity to work on diverse projects
- Growth-oriented environment
- Supportive team culture
Strong Full Stack Engineer profiles
Mandatory (Experience 1) – Must have 1+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)
Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments
Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces
Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries
Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices
Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes
Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks
Mandatory (Company) - Top Product Companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)
Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies
Strong proficiency in at least one major cloud platform - Azure, GCP(Primary) or AWS. Azure + GCP (Secondary) preferred. Having proficiency in all 3 is a significant plus.
· Design, develop, and maintain cloud-based applications and infrastructure across various cloud platforms.
· Select and configure appropriate cloud services based on specific project requirements and constraints.
· Implement infrastructure automation with tools like Terraform and Ansible.
· Write clean, efficient, and well-documented code using various programming languages. (Python (Required), Knowledge of Java, C#, JavaScript is a plus).
· Implement RESTful APIs and microservices architectures.
· Utilize DevOps practices for continuous integration and continuous delivery (CI/CD).
· Design, configure, and manage scalable and secure cloud infrastructure for MLOps.
· Monitor and optimize cloud resources for performance and cost efficiency.
· Implement security best practices throughout the development lifecycle.
· Collaborate with developers, operations, and security teams to ensure seamless integration and successful deployments.
· Stay up-to-date on the latest cloud technologies, MLOps tools and trends
· Strong analytical and problem-solving skills.
Role – Dynamics 365
Experience – 3 years & above
Location – Remote, Jaipur , Gurgaon, Noida
Job Description:
· Gather requirements from the client
· Proactively builds and manages relationship with client management
· Developing business cases, project plans and project documentation.
· Deliver projects/work on-time, on-budget, and in a way that accomplishes client goals
· Reviews and ensures high quality of work is delivered
· Meets deadlines and manages competing priorities under pressure
· Apply creative thinking to identify possible reporting solution alternatives
· Travel to client locations as per the project and/or client needs
Must Have:
· 5+ years of project experience and Min 2+ years’ experience in Power Platform development and customizations.
· Deep understanding of D365 capabilities, architecture, and deployment of online solutions.
· Excellent understanding and knowledge of core Microsoft Dynamics CRM/365 modules like Sales, Service, Marketing and Field Service.
· Skills Driving Dynamics CRM implementations through all project phases including discovery, definition, build, test and deploy.
· Experience in leveraging Microsoft Power Platform capabilities for MS Dynamics CRM using PowerApps, Power Automate and Power BI.
· Proficiency in use of C# - CRM SDK, Web APIs, Batch Jobs, Azure functions, JavaScript, SQL, SSRS, SSIS, Plugins, 3rd party APIs, and Custom Workflows with Dynamics CRM.
· Good experience in Portals and USD development with CRM.
· Experience in assisting with integration of CRM with other business systems and applications.
· Assists the functional resources/business analysts with requirements gathering and provides design guidance for mid to large sized Dynamics 365 CRM projects.
· Proficiency in OOB Customizations like Business Rules, Workflows, Actions, Security roles configurations.
· Good knowledge in code and project management using Azure DevOps.
· Experience in the Power Apps component framework
Good To Have:
· Microsoft Dynamics CRM and Power Platform certifications.
Desired Candidate Skills:
· Excellent interpersonal and leadership skills.
· Superior understanding of current applications and trends in IT.
· Good knowledge of all phases of IT including network administration, computer support, help desk, software development or specialization in one area.
· Experience in client communication
· Proficient in communication.
· Mentoring skills of junior resources.
· Excellent foundational consulting skills including critical thinking and analysis, verbal and written communications, executive presence, facilitation and presentation skills, business analysis
· Ability to conduct business user workshops, design reviews, executive presentations, and
· lead other senior stakeholder/sponsor meetings
· Experience in delivering end to end reports
· Must be able to travel to client locations if needed
· Is detail oriented and deliverables focused
Key Skills: Dynamics 365 & Power Platform, Azure DevOps
We are looking for an ambitious and energetic Business Development Manager to help us expand our clientele. You will be the front of the company and will have the dedication to create and apply an effective sales strategy.
The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients.
Responsibilities
Develop a growth strategy focused both on financial gain and customer satisfaction
Conduct research to identify new markets and customer needs
Arrange business meetings with prospective clients
Promote the company’s products/services addressing or predicting clients’ objectives
Prepare sales contracts ensuring adherence to law-established rules and guidelines
Keep records of sales, revenue, invoices etc.
Provide trustworthy feedback and after-sales support
Build long-term relationships with new and existing customers
Develop entry level staff into valuable salespeople
Should be able to close other country leads
Identify prospects from USA, Canada, UAE
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.
Headquartered in Mumbai, our client employs over 300 professionals and operates out of 6 locations in West & South India. They are one of the leading players and trusted name in the chosen markets for over 18 years with diverse promoter experience in Banking and FMCG with 40+ years of cumulative Banking / Risk management experience and assuring legality with the process in place.
- Networking with collection agencies
- Being responsible for Onboarding Internal Team
- Being responsible for Onboarding local Collection Agencies on behalf of partner client organization
- Being responsible for agencies Productivity & Efficiency
- Meeting Collection benchmarks for a given portfolio
- Being responsible for P&L Accountability
- Being active in Franchise Building and Relationship Management
- Handling Client Portfolio, performance
- Managing Product Profitability
What you need to have:
- Any Graduation
- Young & dynamic leaders with 3+ years of experience in managing rural markets
- Rigour for numbers
- Proven record of managing a team of 10+ people
- Ability to handle & deliver in challenging environments.
- Must be a student of a prestigious institution.
- Socially Active
- Present in campus
Skills
- Good Communication Skills
- Convincing Skills
Roles and Responsibilities
- To bring quality tutors to our platform.
- Share posters provided by TutorBin on your campus and LinkedIn
- Circulating posters, videos through email, whatsapp, instagram, facebook etc.
Rewards and Incentives
- Certificate of working as a campus ambassador.
- Rs 1500 in the first month.
- Reference benefits
- Opportunity to become part of our future programs/ projects.
- TutorBin T-shirts will be given
| Responsibilities : - Building a full stack project, a React Native application - Set and enforce high code standards for all our React Native applications. - Be involved in feature requirements discussions. - Build pixel-perfect, buttery smooth UIs across both mobile platforms. - Leverage native APIs for deep integrations with both platforms. - Diagnose and fix bugs and performance bottlenecks for performance that feels native. - Reach out to the open-source community to encourage and help implement mission-critical software fixes- React Native moves fast and often breaks things. - Maintain code and write automated tests to ensure the product is of the highest quality. - Well-versed with the publishing process on AppStore and Play Store Requirement : - Built React Native applications from scratch. - Be familiar with both iOS & Android design patterns. - Experience in JavaScript and TypeScript or ClojureScript language and its nuances, including ES6+ syntax, JSx & StyleSheet. - Knowledge of functional or object-oriented programming |












