AFS (Anti Fraud Solutions),Risk & Anti money

Strong Azure Cloud Sales Specialist Profiles

Mandatory (Experience 1) – Must have 4+ years of B2B Enterprise Cloud Sales experience, with a strong focus on selling Microsoft Azure Cloud Solutions, Cloud Services, or Digital Transformation offerings.

Mandatory (Experience 2) – Must have hands-on experience in selling Microsoft Azure Infrastructure (IaaS), Platform Services (PaaS), SaaS solutions, Cloud Migration, Modern Applications, Data & AI, or Cloud Transformation Services to enterprise customers.

Mandatory (Experience 3) – Must have working knowledge of Microsoft Azure services, including IaaS, PaaS, SaaS, cloud migration, cloud infrastructure, licensing, pricing models, and cloud cost optimization.

Mandatory (Experience 4) – Must have experience handling the complete enterprise sales lifecycle, including lead generation, client meetings, requirement gathering, solution selling, proposal creation, commercial negotiations, deal closure, and account management.

Mandatory (Experience 5) – Must have a proven track record of consistently achieving or exceeding sales quotas/revenue targets in a cloud services, IT services, or technology consulting environment.

Mandatory (Experience 6) – Must have experience engaging with CXOs, IT Heads, Cloud Architects, Infrastructure Teams, and other enterprise decision-makers to understand business challenges and position Azure-based solutions.

Mandatory (Experience 7) – Must have experience collaborating with Microsoft partners, channel partners, cloud solution providers (CSPs), system integrators, or OEM partners to drive business opportunities.

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

Urgently Hiring React-Native App developer.

Job Location : Indore ( work from Office)

Experience needed : minimum 6 months needed ( Strictly No fresher please)

******

1) React-native developer must have expertise in designing as well as development with latest expo cli.

2) Must have expertise in json parsing with web services to make dynamic app.

3) Must have completed some fully dynamic React-native app.

4) He or she can work individually or in a team , immediate joiner will be preferred as we need on urgent basis.

*****

..***..

Founded in 2012,leader in high-assurance digital identity verification technology.  Named to Forbes’ 2019 AI 50 list as one of America’s most promising AI companies, and a recent winner of API World’s Best Data API, technology applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, address, phone, IP, social media and the broader Internet to verify identities in real-time. Customers include three of the top five U.S. banks, seven of the top 10 U.S. card issuers, as well as the majority of leading digital banks, lenders and insurers across the U.S. We are funded by some of the world's best investors and entrepreneurs including Scale Venture Partners, Commerce Ventures, Work-Bench, Santander InnoVentures and Two Sigma Ventures.

The only way we can further our mission of becoming the single, trusted source of identity verification and eliminating identity fraud is by building the best team on the planet. This is where you come in!

We are hiring Software Engineers across all levels in Chennai!

What You'll Be Doing:

• You will partner with our globally distributed cross-functional teams (Product, Infrastructure, Engineering, Data Science) to conceptualize and develop new features and products in an Agile environment. 
• You will own end-to-end delivery of software components all the way to production, owning team features or systems. 
• You will be building web services and REST APIs at scale, and producing high-quality results with direct business impact. 
• You will be monitoring and improving existing deployments, ensuring that we are continuously improving our product. 
• You will be assisting our QA and support team in triaging and resolving production issues and addressing bugs.

What You'll Bring:

• You are interested in our tech stack (Java or Scala, SQL Databases, NoSQL, Microservices, and AWS)
• You will have strong computer science fundamentals: data structures, algorithms, various programming languages, distributed systems, etc. 
• You understand engineering best practices and seek to improve engineering standards, tooling and processes. 
• You write “good code” - easily understandable, secure and testable! 
• You are comfortable helping drive technical decisions within our Engineering team. 
• You have experience building applications at scale.

Perks & Benefits:

• Competitive base salary
• Equity - every employee is a stakeholder in our enormous upside
• A tech-first company culture driven by entrepreneurial thinking and talent
• A great team working in unison towards the same mission
• Transparency is what our product is built on—and so is our culture
• Daily catered lunch and snacks
• Generous health insurance for employees and dependents
• Flexible work schedule and work-from-home options
• Flexible PTO

We are an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Java, JEE, RESTful web service, Spring Boot/MVC, Hibernate,Angular/Angular js

• Has worked on Platform Modernization Project
• Troubleshoot and fix defects for planned releases and production issues
• Should have experience working in Development Project
• Should be result-oriented
• Should be able to work both independently and in teams
• Should have ability to multi-task and prioritize across multiple projects
• Should be flexible with work timings