Senior Sales Executive

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

Job Summary

We are building a blockchain platform focused on NFT-based records and tokenization of real-world assets (RWA). The frontend is already developed, and we are looking for a skilled Blockchain Backend Engineer to design and implement smart contracts and blockchain services.

This role involves building production-grade, verifiable blockchain systems with a strong focus on NFTs, on-chain verification, and metadata integrity.

Key Responsibilities

Phase 1 – Immediate Scope

• Design and develop NFT minting and issuance (single & batch)
• Implement NFTs linked to real-world records (certificates, titles, permits)
• Enable on-chain public verification (Token ID, Contract Address, Blockchain)
• Design and manage NFT metadata (on-chain / IPFS) with metadata locking
• Implement document hash anchoring for tamper-proof verification
• Develop public verification APIs and QR-based verification flow
• Work with at least one EVM-compatible blockchain (Polygon / Base / Ethereum L2)

Phase 2 – Nice to Have (Future Scope)

• Security token issuance with transfer restrictions
• Whitelisting and compliance-ready token flows
• Investor onboarding and agreement binding
• Distribution handling, investor data room, and referral tracking

Required Skills

• Strong experience in Solidity
• Hands-on development with ERC-721 and/or ERC-1155
• Smart contract development, testing, and deployment
• Experience with EVM blockchains
• Proficiency in Web3 libraries (ethers.js / web3.js)
• Knowledge of IPFS and on-chain data anchoring
• Ability to design secure, scalable, and verifiable blockchain architectures

Good to Have / Bonus Skills

• Experience with Real-World Asset (RWA) tokenization
• Exposure to security tokens or compliance-focused Web3 platforms
• Prior work on enterprise or regulated blockchain solutions

• Key Skills:
• Expert Proficiency in anyone the below programming language - Node JS, PHP or GoLang
• Expert Computer Science fundamentals like Data Structures, Algorithms, Time Complexity, and others
• Strong Microservices, REST API, Git source control, CI/CD, and other latest technology trends
• Strong System Design, DB Design proficiency
• Strong knowledge in Design Patterns, best software development practices
• Good exposure to working in Open Source stack, E-Commerce, or Fintech domain.

• You will work directly with the two co-founders in helping the company to achieve its strategic and operational goals, by delivering key internal and external projects that are critical to the success of the company
• You will own the creation of all external facing material produced by the CEO Office for senior engagements with the promoters, board and all employees
• You will have a deep understanding of the company business model, the underlying profitability and levers of different business verticals
• You will be responsible for driving the rigour of analytical market based insights into actionable co-ordination between the Revenue team and the Brand team

Company Description

Tayana Solutions is a leading ERP service provider based in Bhopal. We specialize in offering customized ERP solutions and establishing long-term relationships with our clients. As a gold-certified Acumatica partner, we provide top-notch customer support and consulting services. Our team of engineers stays updated with the latest technology trends to develop solutions that meet our clients' needs.

Role Description

This is a full-time on-site role for a Recruiter. The Recruiter will be responsible for full-life cycle recruiting, hiring, and recruiting. They will also be involved in various recruitment activities and will communicate with candidates and hiring managers.

Qualifications

Experience in full-life cycle recruiting, technical and non-technical recruiting, and hiring

Experience Required: 2 to 5 Years of experience

Budget for the profile: 1 to 3 LPA

Strong communication and interpersonal skills

Ability to build and maintain relationships with candidates and hiring managers

Excellent organizational and time management skills

Experience in the IT industry is a plus

Bachelor's degree in Human Resources, Business Administration, or related field

Office Location: Lalita Nagar, Kolar Road, IN front of Amra Villa Bhopal

Industry

Information Technology & Services

Employment Type

Full-time

Java Full Stack Developer

Experience required-4.5 to 7yrs

Mandatory Skills- Front end- HTML, CSS, Javascript, Angular/React

Back end- Java, Springboot/Node/Python, Any SQL/RDBMS, OS

Jenkins for Deployment

You should apply if you have —

1. 3 - 5 years of technical experience (you can count internships & freelance work towards this).
2. Proficiency in React (especially Hooks) and Typescript; experience in Node.js is nice to have.
3. Experience in profiling apps for performance.
4. A track record of writing accessible and detailed version-control commits, documentation and code reviews.
5. A strong ability to write clean, scalable, self-documenting & highly-testable code.
6. Very good problem-solving skills.

You'll be helping us with some of these challenges —

1. How do we keep building more features while keeping the code clean, as small as possible and highly performant?
2. How do we build a strong testing-first delivery cycle so we can ship code with greater confidence?

We're problem-solvers at heart, and we value data-driven decision-making. We believe in high-quality execution, crafting great user experiences, honest & transparent communication and enabling our people to thrive and be the best version of themselves.

The early engineering + product team includes folks from https://home.lynk.co.in/" target="_blank">Lynk,Zoho and https://www.kilobytetech.com/" target="_blank">Kilobyte, and we're hoping to build one of the best teams in the city; kind & compassionate, diverse and smart — one you can be proud for being a part of.

We're all generalists and prefer picking the right tool for the job. That said, we do use a lot of new & exciting technology.

Backend

• Golang for most services and Node.js (https://koajs.com/" target="_blank">Koa, https://github.com/lukeed/polka#polka" target="_blank">Polka) for a few
• gRPC for inter-service communication
• PostgreSQL

Frontend

• 100% TypeScript
• React v17 & https://nextjs.org/" target="_blank">Next.js v10
• https://github.com/pmndrs/zustand#readme" target="_blank">Zustand
• https://chakra-ui.com/" target="_blank">Chakra-UI
• https://www.framer.com/motion/" target="_blank">Framer Motion
• https://storybook.js.org/" target="_blank">Storybook
• https://maizzle.com/" target="_blank">Maizzle

Infra

• AWS (with extensive use of RDS, S3, ECS, SQS, SES & CloudWatch)
• Gitlab for version-control and CI/CD
• All apps built and shipped as Docker images
• Kubernetes for container orchestration
• https://www.honeybadger.io/" target="_blank">Honeybadger for error analytics & uptime monitoring

Responsibilities

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Promote the company’s products/services addressing or predicting clients’ objectives
• Prepare https://resources.workable.com/contract-administrator-job-description">sales contracts ensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing customers
• Develop entry level staff into valuable salespeople 

     Requirements

• Proven working experience as a business development manager, sales executive or a relevant role
• Proven sales track record
• Experience in customer support is a plus
• Market knowledge
• Communication and negotiation skills
• Ability to build rapport
• Time management and planning skills
• Bachelor degree in any domain
• He has experience of at least of 3 years filed of banking, insurance and microfinance.