
Key Responsibilities:
Purchase Order Processing:
Prepare and review purchase orders from various departments or individuals within the organization.
Verify the accuracy and completeness of purchase orders, ensuring they are properly authorized and comply with company policies.
Enter purchase order details into the accounting system (Tally Prime)
Invoice Verification and Processing:
Gather invoices and match them with corresponding purchase orders and delivery receipts.
Verify the accuracy of invoices, including quantities, prices, and applicable taxes.
Resolve discrepancies or issues with invoices by communicating with vendors, procurement, and other internal stakeholders.
Coordinate with vendors to resolve any payment-related inquiries or issues.
Engage in Warehousing activities related to invoices and inventory.
Vendor Relationship Management:
Develop and maintain positive relationships with vendors, responding to inquiries and resolving any issues promptly.
Ensure vendor accounts are accurately maintained in the accounting system, including contact information and payment terms.
Communicate payment schedules to vendors and provide remittance advice as required.
Reporting and Reconciliation:
Prepare periodic reports related to accounts payable, such as the outstanding creditor's reports, vendor ageing payables, and vendor statements.
Reconcile vendor statements with accounts payable records, investigating and resolving any discrepancies.

About Frido
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About Tech4Biz Solutions
Tech4Biz Solutions is a technology solutions provider that specializes in cloud computing, AI-driven applications, cybersecurity, and IT services. The company focuses on delivering cost-effective, scalable, and high-performance solutions tailored to business needs.
Key Offerings:
- Cloud Solutions – Custom cloud hosting, RDS (Relational Database Service), and infrastructure solutions.
- AI & Automation – AI-powered lead generation, web crawling, and AI-driven recommendations.
- RegTech & Compliance – Streamlining regulatory compliance with tech-driven solutions.
- Enterprise Software Development – End-to-end IT solutions using modern tech stacks like React.js, Node.js, MongoDB, and AWS.
As we expand, we are looking for a dynamic IT Recruiter & HR Manager to drive our talent acquisition and HR operations.
Key Responsibilities:
IT Recruitment-
- End-to-End IT Hiring – Source, screen, and hire top tech talent (Developers, DevOps, AI/ML Engineers, Cloud Architects).
- Talent Sourcing – Use platforms like LinkedIn, Naukri, CutShort, Instahyre, and GitHub to find and engage candidates.
- Technical Screening – Collaborate with hiring managers to assess technical skills.
- Offer Negotiation & Onboarding – Close candidates efficiently and ensure a smooth onboarding process.
- Pipeline Building – Maintain a strong talent pool for niche and future hiring needs.
HR Operations & Employee Management-
- Attendance & Leave Management – Maintain employee attendance records and leave tracking.
- Payroll Processing – Ensure timely payroll execution and compliance with tax & labor laws.
- HR Policies & Compliance – Implement and update HR policies in line with industry standards.
- Employee Engagement – Organize training sessions, feedback mechanisms, and engagement activities.
- Performance Management – Assist in performance reviews, PIP plans, and salary appraisals.
- Grievance Handling & Conflict Resolution – Maintain a positive work environment and address employee concerns.
Must-Have Skills:
✔ 3+ years of experience in IT recruitment & HR operations
✔ Strong understanding of tech stacks, programming languages, and IT job roles
✔ Hands-on experience with ATS (Applicant Tracking Systems) & HRMS software
✔ Knowledge of Indian labor laws, payroll, and compliance
✔ Excellent communication, negotiation, and people management skills
Good to Have:
➕ Experience hiring for Cloud, AI, Data Science, or DevOps roles
➕ Familiarity with technical screening tools like HackerRank or Codility
➕ Experience with Zoho HRMS, Darwinbox, or similar HR tools


Requirements:
1. 3 to 10 years of experience in full stack development.
2. Strong proficiency in Node.js and React.js, with a deep understanding of their ecosystems.
3. Solid understanding of web development principles, including RESTful APIs and responsive design.
. Sound knowledge of NoSQL databases like mongo.
. Experience with replication , sharding and scaling.
. Design, install, maintain highly available systems (includes monitoring, security, backup, and performance tuning)
. Implement secure database and server installations (privilege access methodology / role based access)
. Help application team in Cyper query writing, performance tuning & other D2D issues
• Deploy automation techniques for d2d operations
. Must possess good analytical and problem solving skills
. Must be willing to work flexible hours as needed
. Scripting experience a plus
. Ability to work independently and as a member of a team
. Strong verbal and written communication skills


- Strong experience of Angular 2+ and above along with other technologies like HTML5, CSS, jQuery, AJAX with good knowledge of ECMA Scripts.
- Strong knowledge of JS Fundamentals.
- Design & development of Angular applications as per desired specifications, along with experience in frameworks/libraries like jQuery, Bootstrap, Typescript etc.
- Architecture design, development, testing and maintenance of Web Apps, Implementation based on Angular Application MVC Patterns.
- Own end to end product modules/features (from the requirement to going live)- Design & code review, troubleshoot & help team members on issues.
- Gather requirements by interacting directly with the end-users.
- Research on open source framework/technology required for developing the feature/application.
What is the role?
You will be responsible for serving the needs of the existing customers and closing sales deals to create new customers.
While the SAE role is for India Geography. Sr. SAE role is for the US market with shift start time at 5 PM IST.
Key Responsibilities
- Prepare and lead the prospective client and demo calls, sending pitches, and closing new deals.
- Gather the client requirement accurately and work on sales proposals accordingly.
- Perform a detailed research about the prospective client and build sales decks.
- Following up promptly with the leads that SDRs send over and ensuring that the customer requirements are being met.
- Liaise and partner with other internal departments to manage complex sales opportunities.
What are we looking for?
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.
- 2-6 years of SaaS sales experience required.
- For the Sr. SAE role, should have experience working in India or USAregion.
- Graduate/Postgraduate or equivalent.
- Strong analytical, communication, and writing skills.
- Enjoy working in small, fast-paced teams where you can take initiative and accountability, and generate results every day.
- Attention to detail and the ability to multitask while maintaining a high quality of work.
Whom will you work with?
You will work with the Compass Sales team and report to Sales Head.
What can you look for?
A wholesome opportunity in a fast-paced environment will enable you to juggle between concepts yet maintain the quality of content, interact, share your ideas, and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.
We are
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls, and Compass. Xoxoday works with over 1000 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.


Proficient with full development stack (MySQL, Redis, Memcached, MVC frameworks, jQuery, Server Administration, CSS, HTML, etc) and understanding of OOP design, AJAX, jQuery, and MySQL
Understands how to build an optimized web app and has experience with caching and other scaling techniques
The desire and energy to work long hours so that we can continuously improve our website at the quickest pace possible
Passionate about working in a startup and creating a great product
Must love to program, must be willing to learn, and must be creative. If you are the type of person who finds learning a new technology or language an exhilarating experience, you will love it here.
Must be able to show us projects and or websites that you have created. Bonus points if you’ve created these projects/websites outside of your work (we love seeing proof of how much you love technology and coding).
Education - relevant degree in Engineering preferable



About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.


- Strong object oriented concepts. Experience in structure object oriented modelling with preferred expertise in using tools like Enterprise Architect or similar. Experience in working with TOGAF standards is preferred.
- Experience in architecting the technical scale and scope of high volume, scalable enterprise software solutions including logical and physical landscape requirements with specific attention to design, development, and deployment strategies
- Capability to adapt, learn and work with multiple technology platforms.
- Knowledge in Application Security including Information security principles & realization, OWASP & PCI DSS Compliance ( Security Design & Technology Skills )
- In depth knowledge and experience in large scale database management, data modelling and database design in RDBMS and NoSQL.
- Experience in recommending and implementing DevOps tools for enterprise projects.
- Capability to evaluate tools, technologies and processes, including assessing their strategic benefit in the solution.
- Willingness to work hands-on with engineers to review, troubleshoot coding problems quickly and efficiently.
- Expertise in following technologies – ASP.Net MVC, Web API, ASP.Net Core, Entity Framework, Entity Framework Core, ASP.Net Identity, REST
- Experience in implementing various application deployment models and monitoring the server infrastructure using industry standard tools.
- Experience in docker based deployment models.
- Experience in architecting, developing and deploying cloud based (One or more among AWS, Azure, Google Cloud) enterprise solutions.
- Experience in designing and developing micro-services based applications.
- Experience in designing and developing solutions with TDD (Test Driven Development)

