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📍 Location: Mumbai
🏦 Industry: Banking / Financial Services — Mandatory
🎓 Qualification: Chartered Accountant (CA) — Mandatory
🚀 About the Role
We’re looking for a CA-qualified professional with at least 1 year of experience in Banking or Financial Services. If you’re well-versed in Ind AS, audits, and RBI compliance, and ready to take ownership of end-to-end finance operations — this opportunity is for you.
🔧 What You’ll Do
Accounting & Operations
- Handle daily accounting, GL review, and reconciliations
- Scrutinize ledgers and manage borrowings, cash flow, and liquidity
- Support credit line renewals and documentation
Reporting & Audit
- Prepare financial statements as per Ind AS
- Assist in audits (internal, statutory, IFC) and board reports
- Ensure accurate disclosures and schedules
Compliance & Regulatory
- File quarterly RBI XBRL returns
- Respond to RBI inspections and queries
- Manage TDS, GST, and labor law compliance
✅ Requirements
- CA qualified with min 1 year in Finance/Accounts
- Banking or Financial Services experience — Mandatory
- Sound knowledge of Ind AS, TDS, GST, and Indian GAAP
- Skilled in Excel, Word, Outlook; Oracle Fusion a plus
- Proactive, analytical, and communicative
🌟 Why Join Us
- High visibility role with full-cycle finance exposure
- Learn from experienced mentors in a structured setup
- Be part of a collaborative, performance-driven team
📌 Note: Only candidates meeting all mandatory criteria will be considered.
- Design, develop, and maintain Java-based applications using Spring Boot and Hibernate frameworks.
- Collaborate with cross-functional teams to gather and analyze requirements, and translate them into technical solutions.
- Implement microservices architecture to build scalable and resilient systems.
- Write clean, efficient, and maintainable code adhering to best practices and coding standards.
- Conduct code reviews and provide constructive feedback to team members.
- Troubleshoot and debug issues to ensure optimal performance and reliability.
- Stay updated with the latest trends and technologies in Java development, microservices, and cloud computing.
Roles and Responsibilities include but are not limited to :
• 2+ years of inside-sales experience (preferably B2B), ideally with high-volume prospecting and outreach
• Experience in Singapore IT Sales.
• Comfortable working in Singapore time zone shifts.
• The Associate would be responsible for making enhanced outbound calls following a diligent process toward converting leads
• Actively seek out new sales opportunities through cold calling, networking and social media.
• Intensely following up with the prospects and closing the sales within the sales cycle
• Achieving the weekly targets in a performance-driven competitive environment
• Scheduling direct meetings (in Singapore) for the Management with new clients through targeted outbound campaigns.
• Well-equipped in handling the complete sales cycle from Lead sourcing to Lead closure.
Skills/Abilities :
• Exceptional communicator and influencer who can deliver sales pitches like a charm.
• Confident and persevering risk-taker who thrives in a high-performance high-growth environment.
• Good Communication skills (Fluency in English)
• Preferred existing experience working in IT Companies.

PureCode Software is looking for an experienced, full stack Mern Developer to join our talented and fast-growing team in Hyderabad, India. Using Computer Vision and Artificial Intelligence, PureCode’s first-of-its-kind developer tool instantly turns software design images into fully functional ReactJS. Headquartered in Austin, Texas PureCode Software recently raised USD 1.5 million from a top-tier Silicon Valley venture capitalist. This position will play a crucial role in our software team as the candidate will be joining the ground floor of the company.
PureCode’s computer vision, artificial intelligence and natural language processing researchers work alongside our software engineers to design and build our proprietary developer tool while identifying restraints to current no-code/low-code technologies. Our code generator takes a web design (PDF, Figma file, Sketch file etc.) and instantly generates dynamic, human-readable HTML, CSS, and React JS.
We are looking for a Mern Stack Developer (Full Stack) to produce scalable, intelligent software solutions. This position will be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.
As a Mern Stack developer, you should be comfortable around both core front-end, inbuilt packages, and third-party libraries. This position is on premise at our office in the Gachibowli area of Hyderabad and requires close collaboration with team members as well as our Austin-based HQ.
Position Responsibilities:
- Ship high-quality, well-tested, secure, scalable, extensible, and maintainable code as well as perform code review.
- Lead a team of highly efficient developers working on agile development practices including sprint planning.
- Apply design principles and patterns in creating enterprise-level solutions, as needed.
- Design products, services, and systems that are resilient to the iteration and change required by the needs of the business.
- Research new technologies and development methodologies to drive efficiency and improve customer experience.
- Coordinated with the US-led product and sales team to strategize and carry out the development of custom features and functionality requests.
The Ideal Candidate:
- 3+ years of experience as a Full stack developer.
- Extensive experience working with NodeJS platforms.
- Expertise in building robust REST and GraphQL APIs.
- Hands-on experience with frameworks like ExpressJS, NextJS, and Fastify.
- Hands-on experience with SQL/NoSQL databases like PostgreSQL, MySQL and Redis.
- Hands-on experience in working with React-related libraries like Redux,
- MaterialUI and frameworks like NextJS.
- Strong hands-on experience with source code management systems like git.
- Working knowledge of WebSocket technologies.
Position Benefits & Offerings:
- We offer the best market salaries for ideal candidates.
- Our culture is focused on talent development with semi-annually promotion cycles and company-sponsored certifications.
- The opportunity to work with and lead cutting-edge technologies.
- Opportunity to earn company stock options.
- Mediclaim hospitalization insurance for self, spouse, two children, and parents.
To Apply:
Interested Candidates can send their resumes to or apply to this position on our company's LinkedIn page
Mandatory skills
- Singleview
- Experience in C++, Python & Perl
- Broad understanding of UNIX operating environment
Secondary exp:
- Experience with multi-user, complex software applications
- Mix platforms such as Windows/ Linux
- Able to gain a basic understanding of client requirements.
- Should be self-motivated and self-driven
- Ability to work with team members across the globe
- Excellent interpersonal and written communication skills
- Ability to define, implement and work to a schedule
- Good time management skills


Job description
Java Full Stack Developer
Contractual Role 12 months
Experience : 4 - 7
Work From Home
Primary Skills:
- Javascript
- HTML and CSS
- Springboot and Microservice
- Hibernate and React
- MySQL(SQL) and MongoDB (NoSQL)
- Angular 12,
- Proficient in Java
Location - Navi Mumbai
Designation - Staffing Manager
Experience - 7+ yrs
Immediate joiners will be preferred


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.

What will we be building together?
1K Kirana Bazaar (1K) is building Bharat's first hyperlocal offline-online distribution platform. Our aim is to provide the benefits of technology and scale to the underserved first time internet users of Bharat. We use the efficiencies of the existing kirana store network and empower them with a full technology stack to fulfill all needs of our consumers.
Over the next 2 years our goal is to transform the lives of millions of new age consumers of Bharat and at the same time make the lives of thousands of retailers more fulfilling! With our end to end integrated supply chain and technology stack, we are already disrupting the traditional supply chain and bringing in innovation and gamification to the traditional shopping and consumption process. The growth process will demand exploration of technologies like Blockchain, Artificial Intelligence, IPFS, Distributed Computing, and IOT to name a few to fuel the idealistic model design for the making of an evolved #bharat. We visualise seamless access to every consumer or a mom & pop store in the deepest rooted corners of India.
What will you be driving with the team?
To build full-stack solutions for retail & supply chain from managing purchases to selling products to end consumers. You will work on solving some of the complex problems of the retail industry.
Your core responsibilities:
- Solve complex problems and follow good coding practices and complying with existing quality standards.
- Evaluate existing engineering processes and recommend improvements.
- Setup high-quality standards in production running code by performing diligent code reviews and rigorous unit test coverage.
- Brainstorm (sometimes, even prototype) features with the rest of the team based on your knowledge of the codebase.
- And of course, there's always bugs to fix, based on your personal experience or feedback from the team and the 1K community.
What will help you thrive in this role?
- A bachelor’s degree in Computer Science or a related field is preferred.
- 6 month+ experience in software development.
- Knowledge of programming languages.
- Should possess a solid grasp of object-oriented programming, data structures, and software design.
- Experience with AWS infrastructure and distributed systems is a plus.
- Highly developed attention to detail.
- Ability to work well in a fast-paced environment.
Whom you will be sharing your workday with?
We are a language-agnostic engineering team of independent thinkers who understand the priorities of a rapidly growing startup and excel at choosing high impact projects. Our core beliefs are:
- We are at the forefront of disrupting the traditional retail & supply chain industry by building distributed systems
- We are hardcore open source lovers and believe in the strength of the open-source community.
- We believe technology can change the way information is consumed.
- We use a data-driven approach to build new products and features.
- Build new tech solutions to improve business processes and enable our various departments to help service our teams better.
- We embrace and enable DevOps culture within the organisation.
And yes! We do have new furry friends coming to our office every day.
Work Perks
- Hybrid work environment with flexibility to work from anywhere.
- A great salary, commensurate with experience.
- Unlimited vacation policy which means Paid Vacations.
- A relaxed & flexible working atmosphere.
- Weekly parties (Unofficial).
- Paid outings to remote work locations and industry events/conferences.
- Paid Health Insurance for you and your loved ones.

