Senior Academic Counsellor

Job Summary

We are seeking a proactive Junior Accounts Executive to support accounting operations, MIS reporting, and project financial tracking. The role involves handling daily accounting tasks, monitoring project expenses, and ensuring proper documentation and compliance.

Key Responsibilities

• Prepare and maintain MIS reports on a regular basis 
• Pass Tally entries (purchase, sales, journal, payments, receipts) 
• Track and monitor project-wise expenses and payments 
• Analyze and report Budget vs Actual expenses 
• Perform document checking and verification 
• Coordinate with CA for utilization certificates and financial documentation 
• Prepare and maintain vouchers and proper filing system 
• Conduct physical site visits/checking for verification when required 
• Ensure statutory compliance and proper documentation 
• Coordinate with internal teams for accounts and project updates 

Required Skills & Qualifications

• Bachelor’s degree in Commerce (B.Com) or related field 
• 1 – 2 years of experience in accounting 
• Working knowledge of Tally ERP 
• Basic understanding of MIS reporting and budgeting 
• Familiarity with statutory compliance requirements 
• Good knowledge of MS Excel 
• Strong attention to detail and organizational skills 

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make camera intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Knowledge/Qualifications/ Competency

• Any Graduate – Any Specialization with 3+ yrs of relevant strong object-oriented JavaScript & MVC with analytical/logical thinking & problem solving skills (Object Oriented JS, JQUERY, Angular, NodeJS)

Skills Required

• 2+ years of web application development experience using Javascript
• Experience in Angular / React.js, Node.js, and Express.js/loopback.js
• Deep understanding of RESTful APIs
• Data modelling experience in both relational and NoSQL databases(MongoDB preferred).
• Experience deploying and maintaining a micro-service architecture
• Experience with Microsoft Azure
• Experience with server-less infrastructure paradigms (AWS Lambda, etc).
• Experience building a scalable product is a bonus!

Responsibilities

• You will write reusable, testable, and efficient code
• You will look to optimize applications for performance and scalability.
• You will be building secured backend API's to be consumed by multiple applications (e.g. web and mobile)
• You will constantly be collaborating with a team member and help colleagues
• You will make architectural decisions
• You will use every possible opportunity to share your own professional experience with your team members

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Salesforce QA Lead

Exp: 10+ years

Location: Hyderabad

Work mode: 5 Days work from office

Employment type: Contract

Job Description:

·        10+ years of experience leading manual testing efforts, developing test plans, and managing defect lifecycle to ensure high-quality software delivery.

·        Experience in Salesforce Automation testing.

·        Create, review, and execute detailed test plans, test cases, and test scenarios based on functional and business requirements.

·        Strong knowledge of QA testing methodologies that cover all aspects of software testing, including functional testing, UI/UX testing and usability testing.

·        Collaborate with multiple stakeholders to ensure thorough understanding of requirements.

Job Title: Subject Matter Expert (SME) – Operations

Location: Mohali / Karnal

Shift: Morning / Evening / Night

Experience: 2+ Years

Languages: English & Punjabi

About the Role:

We are looking for a Subject Matter Expert (SME) to support our Operations team. The SME will play a critical role in providing process expertise, guiding teams, and ensuring operational excellence in the service industry domain.

Key Responsibilities:

• Provide deep process expertise and domain knowledge in operations.
• Support the team with issue resolution, escalations, and process clarifications.
• Train and mentor team members on process improvements and best practices.
• Ensure compliance with SOPs, SLAs, and quality parameters.
• Collaborate with Team Leaders and Managers to optimize operational performance.

Skills & Requirements:

• Minimum 2+ years of experience in the service industry / BPO / KPO.
• Strong process knowledge and ability to guide team members.
• Excellent communication in English & Punjabi.
• Problem-solving and analytical skills with focus on quality and compliance.
• Flexible to work in rotational shifts (morning, evening, night).

Job Description:

Oracle EBS Technical

Senior Program Analysts having 3+ years of experience working on Oracle EBS (release 12+) Financial modules (Projects, Purchasing optional)

Expertise in D2K forms, Reports, XML reports, PLSQL, API/Interface development, OAF knowledge is optional

Should have knowledge of Financial modules (GL, AP, AR)

Worked on interfaces and API

Can work independently once requirements are shared. Able to navigate and test functionality in Oracle EBS without support

Additional information

Good communication skills and accounting knowledge is must

Building web application front end & backend

React

Spring Core, Spring MVC

Spring Boot

Spring Webflux/Reactive

Mongo DB/Cassandra

HTML, CSS, Javascript,

Cloud Basics (AWS/GCP/Azure)

Cloud Functions (AWS/GCP/Azure)

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?

We are looking for an experienced, hands-on developer to join an innovative and talented R&D team, responsible for delivering fast and high quality code, using the latest frameworks and technologies.

• Be responsible for all development aspects form design to production of a wide hybrid/ cloud naitive product 
• Write high quality, testable and efficient code in Java and Go
• Initiate and promote new ideas for continuous improvement of the product functionality
• Work closely with other team members as well as mentoring new team members

• 5+ years of software development experience
• Proven deep knowledge of Java or Go
• Deep understanding of relational databases, concurrent programming and performance tuning
• Vast experience with large scale production environments 
• Experience with micro services architecture, multithreading
• Familiarity with Cloud infrastructure, Docker, Kubernetes & CI/CD
• Disciplined approach to testing and quality assurance