SEO Executive

Workday Certified will be preferred

Required Technical and Professional Expertise for Work Day – Finance consultant.

Must have acted as Lead on 2 or more Large Enterprise End to End Workday Financials Implementations, demonstrating hands-on design/solutioning, configuration and testing experience in as many of the following Spend (Financial , AP, AR and Integration with other Application) areas:

·        Supplier Accounts/Contracts, Procurement, Business Assets, Expenses and Inventory.

·        Experience of global / multi-country deployments with localisation requirements.

·        Be able to identify strategies, alternatives, approaches, risks, and mitigations to meet requirements, as well as assist in testing and resolving issues.

·        Experience of developing methodology and continuous improvements in delivery

·        Experience of assisting in pre-sales activities and ability to accurately estimate scope, effort and resources required to complete projects

Preferred Technical and Professional Experience

·        Experience in Financial accounting and procurement roles. Associated Professional accounting qualifications.

·        Experience in any other Workday Financials areas: FDM, Financial Accounting, Budgets, Reporting, Customer Accounts/Contracts, Projects/PSA, Banking, Taxes, Supplier Accounts/Contracts, Procurement, Business Assets, Expenses and Inventory.

·        2 or more Large Enterprise End to End experience in other ERP systems (SAP, Oracle, PeopleSoft etc)

·        Hands on Workday data conversion and/or report development experience.

Workday Finance - Functional

Workday Certified will be preferred

• Workday Financial Core, Financial Services Practical & Essentials or Workday P2P or Workday C2C
• Financial iload practical
• Record – Report Financial Reporting      
• Also, additional experience on Business Assets, Expenses
• Banking & Settlement, Financial Accounting
• AR, AP, General Ledger

Workday Finance – Expense Configuration

• Experience on Workday Finance and has worked with Expense Configuration/Expense Module

Primary Skillset: Workday Finance, P2P, R2R, C2C, Integration Module

Secondary Skillset: Financial Accounting, Budgets, Reporting, Customer Accounts/Contracts, Projects/PSA, Banking, Taxes, Supplier Accounts/Contracts, Procurement, Business Assets, Expenses and Inventory, Financial Core, Financial Services Practical & Essentials, Banking & Settlement, AR, AP, General Ledger, EIB, Core Connectors

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

Key Responsibilities:

● Ensure performance, strategy and alignment of the company's revenue generating departments

● Establishing guiding sales organizational principles for managing performance

● Mapping key client and agencies in the region for pitching lbb advertising / marketing solutions

● Build trusted relationships, and clearly articulate key value propositions, process and performance for the region

● Manage team and ensure they learn and deliver the set KRA's

● Execute the sales strategies, manage sales sales territories and leverage the right resources to optimize the results

Our Ideal colleague:

● Has grown and managed ad sales revenues

● Is deeply networked with large clients, media / ad agencies in the region

● Is an excellent communicator and operates with lot of trust and confidence

● Strategically views the marketplace, analyzes opportunities and successfully manages the growth of a profitable content business

● Wants to make an impact with work and right attitude

● Is a team player

Job Sector: IT, Software

Job Type: Permanent

Location: Chennai

Experience: 10 - 20 Years

Salary: 12 – 40 LPA

Education: Any Graduate

Notice Period: Immediate

Key Skills: Python, Spark, AWS, SQL, PySpark

Contact at triple eight two zero nine four two double seven

Job Description:

Requirements

• Minimum 12 years experience
• In depth understanding and knowledge on distributed computing with spark.
• Deep understanding of Spark Architecture and internals
• Proven experience in data ingestion, data integration and data analytics with spark, preferably PySpark.
• Expertise in ETL processes, data warehousing and data lakes.
• Hands on with python for Big data and analytics.
• Hands on in agile scrum model is an added advantage.
• Knowledge on CI/CD and orchestration tools is desirable.
• AWS S3, Redshift, Lambda knowledge is preferred

• NLP 

• ML programming
• Spark
• Model Deployment
• Experience processing unstructured data and building NLP models
• Experience with big data tools pyspark
• Pipeline orchestration using Airflow and model deployment experience is preferred

Skyber is a fintech based in Mumbai, India and is building a connected commerce platform and disruptive Enterprise SaaS with the fundamental of digitalising, unifying and streamlining businesses processes and transactions.

At Skyber, we are obsessed with our vision to create an ecosystem for Micro, Small, and Medium-sized Business Owners & freelancers of Bharat where we provide them with a procurements to payments & enquiry to invoicing platform. Skyber was born out of the need to bring back the focus on these business owners, to empower them so that they can ride along with the technology wave and adopt the phigital way.

To build such a community we require people with the same vision who are working towards making this dream possible for us and for all these business owners.

Being a part of Skyber is like being a part of a Sports team. Where we back each other.  We know each other's strengths and weaknesses and work towards becoming better individuals and humans while working towards achieving this Dream together.

At Skyber, we believe that responsibility backed by right culture and ambitions backed by ability can move mountains. Thus, people don't get hired by us, but invited to join the cult. ⚡

Our flagship platform - Dhanda (https://mydhanda.com">https://mydhanda.com) is live on Play Store and iOS App Store 🚀

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

• Strong proficiency in HTML, CSS, SCSS & JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

1. Working with a young & dynamic team that constantly tests your thinking and beliefs.
2. No specific work timings. We believe that your work should speak for you and not the time.
3. Constant amusement by Dot (Warning: Apply only if you like dogs) 🐶
4. Occasional doses of Yummy Home Cooked food😋
5. Homelike Work Environment (We also have a bed if you need to sleep - even though we think you wont get any)

If you like what we are doing, and possess the right skillsets and are willing to learn then what are you waiting for? Apply

Senior Full Stack Engineer

At Aurigin we are building the world's largest deal origination platform to match middle-market corporates seeking capital with the most relevant providers of capital anywhere in the world. We believe our team and technology can transcend the geographical borders and connect fund seekers anywhere in the world with investors looking to lend and invest in the market. We have done over 125K introductions and over $600Bn of transaction value introduction on our platform. 

Used by leading financial institutions across North America, Western Europe, APAC, Latam and MENA, we help capital reach far beyond the traditional boundaries of sectors, geographies, and personal networks. Aurigin connects specific opportunities with precision, efficiency, and intelligence. It is designed to streamline the location, promotion and analysis efforts of professionals involved in deal-making while maintaining complete confidentiality about its members.

At Aurigin we believe a strong team can deliver great products. We are looking for a senior engineer who can be part of our team and work in an agile development environment. As a senior engineer you would be responsible or leading a team of our developers to define and grow our core platform. You would be working with the product team to understand, design, and implement new features and extensions to our platform. You would be responsible for mentoring and guiding junior engineers.  We are looking for someone who has a sound understanding of fundamental design principles of software development. 

• 6-8 years of relevant software development experience
• Extensive experience of building and designing web applications 
• Experience with designing and architecting web applications with SPA framework on the frontend and service oriented framework on the backend.
• Proficiency in either one of front-end or backend technologies 
• Experience working in a scrum based agile team.

• Experience with Java or JVM based frameworks
• Experience with React library and ecosystem.
• Knowledge of vanilla JavaScript is a big plus.
• Past experience working in a start-up and/or fintech industry.