Data - AI / ML Engineer

at FreeFlow Ventures

Data - AI / ML Engineer

Splixon

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Data - AI / ML Engineer

at FreeFlow Ventures

Agency job

via Splixon

4 - 7 yrs

₹15L - ₹25L / yr

Kolkata

Skills

Data Science

Machine Learning (ML)

Artificial Intelligence (AI)

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

Data - AI / ML Engineer

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

ABOUT US

Company Name: Freeflow ventures

ROLE OVERVIEW

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

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About FreeFlow Ventures

Founded :

2019

Type

Size

Stage

About

FreeFlow is a startup accelerator that co-creates ventures, helps startups get off the ground, develops sales funnels, signs MoUs with corporate and government partners, and engages with government departments. It has hosted flagship events, established B2B networks, and committed over $16M in funding. FreeFlow is a startup accelerator that provides a range of services to help startups succeed. It co-creates ventures, helps startups get off the ground, develops sales funnels, signs MoUs with corporate and government partners, and engages with government departments. FreeFlow has a proven track record of success, having helped over 275 startups get off the ground and committed over $16M in funding. It has also established B2B networks and hosted flagship events that have attracted investors and startups from around the world. FreeFlow operates in a variety of industries, including technology, healthcare, and finance, and has a broad range of use-cases, from helping startups develop their business plans to providing funding and support for established companies looking to expand.

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Primary Design Engineer (HV/EHV & Power Plants)

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Desired Experience

A minimum of 2 years of hands-on experience with specific focus in HV/EHV substations, powerplants and switchgears.
Prior experience working with utilities in the UK or Europe, providing familiarity with regional regulations and operational practices, which is advantageous for immediate deployment to assignments.
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Familiarity with factory and site acceptance tests from design to approval phase.
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Possess sufficient knowledge and/or experience to work safely in an HV/EHV substation, adhering to HSE regulations and industry standards such as OSHA or equivalent guidelines to mitigate risks and ensure compliance.
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Demonstrate proficiency in analysis tools like ETAP, DIgSILENT PowerFactory, or similar software.
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Provide technical support to site teams during construction works to ensure proper functionality within electricity grid.
Ensure all engineering documentation such as basic design documents, system configurations, and standard operating procedures are accurate.
Work closely with project managers, secondary design engineers, civil design engineers and other stakeholders to ensure seamless integration of primary systems/equipment.
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Job brief:

We are a company in the business of evolving people and have developed Excellence Installation Technology which is a Trillion Dollar Industry and has been validated by Forbes too.
We are looking for an enthusiastic person to contribute in converting the enquiries to customers for our company.
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Contact potential or existing customers to inform them about our product/service. Answer questions about products or the company.
Ask questions to understand customer requirements and close sales.
Enter and update customer information in the database.
Handle grievances to preserve the company’s reputation.
Go the “extra mile” to meet business requirements and facilitate future sales.

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8 recruiters

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Bengaluru (Bangalore)

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Answer questions about product features
Using sales scripts drive sales and respond to customer rejections
Developing in-depth knowledge of products and services offered by us to make suitable recommendations based on customers' needs and preferences.
Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.
Go the ‘extra mile’ to meet customer expectations and perform diligently

Contacting prospective clients / existing customers to inform them about the product using scripts
Accurately record details of communication with customers
Developing and sustaining solid relationships with customers to encourage repeat business
Answer questions about product features
Using sales scripts drive sales and respond to customer rejections
Developing in-depth knowledge of products and services offered by us to make suitable recommendations based on customers' needs and preferences.
Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.
Go the ‘extra mile’ to meet customer expectations and perform diligently

MEAN Stack Developer - Javascript/Node.js

at Claritus Consulting

1 recruiter

Posted by Nayak R

Noida, NCR (Delhi | Gurgaon | Noida)

3 - 8 yrs

₹3L - ₹8L / yr

Javascript

NodeJS (Node.js)

MEAN stack

Primary Skills / Must Have : - Hands on experience with JavaScript Development on both Client and Server-side. - Very strong in Object Oriented Javascript, ES6, Typescript, HTML 5, CSS3, SASS/ LESS. - In depth knowledge of NodeJS, ExpressJS and Restify. knowledge of frameworks like loopback, Hapi, sails etc will be consider as advantage. - In depth knowledge of Angular 6 & 7, Bootstrap, Backbone.js, Semantic UI - Working knowledge on Responsive web design. - Experience with testing tools and frameworks like Jasmine, Protractor or similar - Hands-on experience in using modern build tool chains and package managers like webpack, npm, grunt etc. - Experience in working on Visual Studio Code, Docker. - Very good logical thinking and quick at learning and exploring new frameworks. - Understanding of API integrations, Single-Sign-on and token-based authentication. Knowledge of passport.js, Oauth, auth0 etc will be consider as advantage. - Understanding of caching - like node-cache, redis etc, - Understanding the nature of asynchronous and functional programming - Experience with cloud platforms like Azure and tools like git - Knowledge of common design patterns - Strong in RDBMS concepts and must have hands-on knowledge of database development - Excellent OO programming skills - Strong object oriented analysis and design skills - Good analytical and problem solving skills - Strong oral communication and listening skills and flexibility to adapt as the project evolves.

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