Freelance content writer

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

REVIEW CRITERIA:

MANDATORY:

• Top college graduate with experience as Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ EX-Customer Success profile
• Must have minimum 4+ years of experience in any of role (Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ Ex-Customer success) profile
• Must have strategic thinking and good communication skills
• Must have worked in startup or operator-style environments — demonstrating hands-on problem solving, building processes from scratch, and driving measurable outcomes across cross-functional teams
• Only IIT candidates from these IIT only (Kharagpur, Mumbai, Madras, Kanpur, Delhi, Roorkee, Guwahati)
• Candidates should have graduated in 2018 or before.
• Candidate's current CTC should not be less than 35 LPA

PREFERRED:

• Experience in software/tech/Solution implementation for B2B SaaS
• This is not a leadership role currently but will become with time

ROLE & RESPONSIBILITIES:

We’ve proven the product–market fit and are scaling fast. We’re now building out our Customer Success & Solutions function — and we’re looking for a senior leader who can be both hands-on with customers today and a builder of the CS & Solutions org for tomorrow.

If you’re looking for a fully-baked playbook to simply execute, this may not be the right fit. But if you’re excited to create the playbook, drive customer outcomes, and shape a global CS motion from scratch, we’d love to talk.

You’ll work closely with the CS Lead, founders, and cross-functional heads to ensure every customer has a world-class experience — from pre-sales to go-live to expansion.

You will be responsible for converting, onboarding, managing, and proactively ensuring success for our customers/prospective clients.

• Pre-Sales - Understand client needs and craft custom demos and sandboxes, and present tailored solutions to clients
• Pilot & Onboarding - Ensure smooth transitions from start to finish, proactively remove hurdles and drive successful launches
• Post Go-Live Success - Continuously assess client health/satisfaction. Collaborate with our product and engineering teams to resolve issues
• Client Relations - Be the voice of our clients. Maintain open communication channels with clients
• Bridge to Product/Engineering - Translate client needs into action items. Keep clients informed on project progress and anticipate any delays
• Documentation - Create and maintain customer success repository of docs, emails, videos, etc. to streamline client support
• Diverse Contributions - To the extent that bandwidth allows, get involved in other aspects of the business e.g. sales, operations, marketing etc

IDEAL CANDIDATE:

• 4+ years of experience in Customer Success, Solutions Engineering, or related client-facing roles (startup/SaaS preferred).
• Comfortable working in US time zones (~3:30 am IST) to directly engage with customers.
• Ability to empathize deeply with customers, understand pain points, and translate them into solutions.
• Entrepreneurial mindset: thrives in ambiguity, loves wearing multiple hats, and drives outcomes without waiting for direction.
• Strong analytical and structured problem-solving skills.
• (Preferred) Computer science or technical background — able to understand product at a granular level, with basic coding ability.
• (Preferred) Familiarity with accounting, revenue recognition, billing, or finance operations.
• High ownership, proactive communication, and bias for action.
• Collaborative, low-ego personality with a sense of humor.
• Not taking yourself too seriously.

PERKS, BENEFITS AND WORK CULTURE:

• Variable: Based on performance
• ESOPs (for full time roles)
• Remote (USA)

BENEFITS (FOR FULL-TIME ROLES):

• Health insurance
• Generous vacation policy
• Learning and development budget
• Team events and company offsites
• Maternity and Paternity benefits
• Company Laptop
• Friday game nights

• Maintain accurate and up-to-date financial records.
• Process accounts payable and receivable transactions.
• Perform bank reconciliations and ensure accurate cash management.
• Manage general ledger entries and reconciliations.
• Assist with month-end and year-end closing procedures.

Financial Reporting:

• Prepare and analyze financial statements (balance sheets, income statements, cash flow statements).
• Generate regular financial reports for management.
• Assist with budget preparation and variance analysis.
• Analyze financial data and provide insights to support decision-making.

Compliance and Auditing:

• Ensure compliance with accounting standards (GAAP, IFRS) and tax regulations.
• Assist with internal and external audits.
• Maintain documentation for financial transactions.
• Stay up-to-date on changes in accounting regulations.

General Description:

Owns all technical aspects of software development for assigned applications.

Participates in the design and development of systems & application programs.

Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.

Required Skills:

In depth experience configuring and administering EKS clusters in AWS.

In depth experience in configuring **DataDog** in AWS environments especially in **EKS**

In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**

In depth knowledge of observability concepts and strong troubleshooting experience.

Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.

Experience in **Terraform** and Infrastructure as code.

Experience in **Helm**

Strong scripting skills in Shell and/or python.

Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.

Must have a good understanding of cloud concepts (Storage /compute/network).

Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.

Experience with Git and GitHub.

Proficient in developing and maintaining technical documentation, ADRs, and runbooks.

At CEDCOSS, we're all about you.

CEDCOSS is more about experiencing than talking. It was founded and is still standing on the principle of putting employees first. Discover, create, learn, explore, and be amazed daily. As a team of like-minded individuals with different beliefs, our company is dynamic.

Established in 2010, we have implemented hundreds of eCommerce sites across a variety of platforms. A particular focus is on eCommerce startups and mid-market companies. Our clients range from Fortune 500 companies as well as small businesses.

Are you ready to create connections that become lasting relationships?

Listen, Learn and Make a Match with CEDCOSS!

You should have

● 5 - 8 years of professional experience in Node.js

● Strong Knowledge of Node.js and frameworks - Express.js

● Hands-on experience in creating, designing and using RESTful API

● Experience in the development of large-scale SaaS and cloud-native applications

● 5 years of professional experience building Node.js backend applications

● Proficient in any databases such as MySQL, MongoDB, etc.

● Hands-on Experience in Test Drive Development (TDD)

● Strong knowledge of JavaScript libraries and frameworks such as ReactJS

● Understanding of Agile methodologies and experience working in sprints

● Ability to understand business requirements and translate them into technical requirements

● Knowledge of E–Commerce Integration is Good to have.

● Experience in AWS, CI/CD tools, SVN, Git and Bitbucket is good to have.

What you will Do

● Developing high-performance applications by writing testable, reusable, and efficient code.

● Implementing effective security protocols, data protection measures, and storage solutions.

● Troubleshooting and resolution of technical problems and issues, on web applications in a production environment.

● Ensuring that best practices are followed in the design, development, coding, testing, and debugging of software.

● Developing and maintaining eCommerce platforms/web applications and existing online selling channels and affiliates.

● Previous Experience or relevant exposure in the E-commerce industry and understanding of e-commerce business model.

● Overall Understanding of web development lifecycle including frontend and backend using modern frameworks.

● Strong understanding of data structures, DB schemas, troubleshooting and DB optimization.

● You will have to collaborate with Product Management and Implementation teams and build a commercially successful product

Here's what we believe in

● Empathy, addressing the ability to be humane.

● Humility brings us, future leaders.

● Organizational Ethics demonstrates expertise on subject matters with on-job experience.

● Quality of Work ensuring to deploy and deliver of exceptional outcomes

● Attention to details

● Multitasking capabilities to meet set deadlines and schedules

What benefits can we offer?

● Bi-Yearly performance audits and appraisals

● The flexibility of working days/hours

● Recognition and Appreciation

● A plethora of industry exposure and self-growth opportunities

Become part of a team that thrives on challenging, rewarding, safe, and safe work environments

Job Description Responsibilities:

• Design and build mobile applications using React Native

• Build native component for iOS (Native experience would be plus) or Android

• Collaborate closely with the Team lead to understanding the requirement and implementation details.

• integration with third-party APIs.

Required Skills:

• 2yrs experience in React-Native based app development is a must.

• Must have published at least 1 major React-Native app

• Knows how to embed React-Native in a native(iOS/Android) component and vice versa

• Strong focus on app performance.