Assistant Sales Manager

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

Manage end-to-end accounting operations including accounts payable, receivable, reconciliations, and general ledger

Prepare and finalize monthly, quarterly, and annual financial statements

Ensure compliance with statutory requirements including GST, TDS, and Income Tax

Coordinate with auditors for statutory and internal audits

Handle vendor and customer account reconciliations

Implement and monitor financial controls, policies, and processes

Support budgeting, forecasting, and financial planning

Analyze financial data and provide actionable insights to management

Collaborate cross-functionally with operations, logistics, and business teams for seamless finance support

Role: C++/Qt Systems Engineer

The Challenge: The Nervous System of Robotics

We are not just building interfaces; we are building high-performance command centers that serve as the window into complex robotic systems. Imagine the sophisticated, data-rich platforms seen at companies like Eddyfi—we are pushing that frontier further. You will be responsible for visualizing complex sensor data and robotic movements with zero lag, ensuring the software is as responsive as the hardware it controls.

The Mission (Scorecard)

●      Architect the "Un-bottlenecked" UI: Develop a Qt-based framework capable of handling massive data throughput from NDT sensors without a single frame drop.

●      Low-Latency Synergy: Collaborate daily with our C++ BackEnd Architect, who will provide technical mentorship to ensure the UI layer adheres to sub-millisecond systems-level requirements.

●      Real-Time Data Visualization: Design and implement modular C++ backend components that integrate with Qt HMI dashboards for real-time status and sensor visualization.

●      Hardware-to-HMI Integration: Implement SPI, UART, and CAN communication protocols for high-precision data acquisition and device control

●      Mission-Critical Reliability: Own the software lifecycle from initial commit to field deployment, ensuring it meets the "zero-defect" culture required for robotics and medical-grade ap

●      Product Ownership: Own the software lifecycle from initial commit to field deployment, ensuring it meets the rigorous demands of real-world robotics.

Technical DNA (Requirements)

·     Core Systems Programming: Deep mastery of C++ (OOP, STL, RAII) and Linux System Programming.

·     Qt Framework Expertise: Expert-level proficiency in Qt Widgets, Signals & Slots, and Qt Creator.

·     Concurrency & Performance: Extensive experience in Multithreading, POSIX threads, Mutex, and Condition Variables to handle asynchronous data streams.

·     Networking & IPC: Robust experience in TCP/IP Socket Programming (Client-Server) and IPC mechanisms including Shared Memory, Message Queues, and Semaphores.

·     Embedded Protocols: Hands-on experience with CAN, SPI, UART, and I2C for interacting with hardware peripherals and ADCs.

·     Debugging & Profiling: Proficiency with GDB, Valgrind, and system-level testing using Oscilloscopes and CAN Analyzers.

Professional Growth and Environment

●      Intellectual Sparring: Join a team of smart peers and mentors who will constantly challenge your assumptions and push your technical boundaries.

●      Technological Confluence: Work at the absolute intersection of Advanced Research, Robotics, and Cybernetics.

●      Impact and Vision: Your work directly influences our trajectory toward Series-A, offering a clear sense of purpose and a tangible stake in the company’s success.

The Stakeholder Ecosystem

●      C++ Architect: Your primary partner for aligning high-level software with deep systems-level logic.

●      Robotics Engineers: The team relying on your UI to make their machines interact with the user in real-time.

●      Full Stack DevOps: The bridge ensuring your high-performance builds reach edge devices seamlessly.

●      Quality/QC Testing: Partners in maintaining a "zero-defect" culture through rigorous performance profiling.

Candidate Profile

We are looking for an individual who combines technical mastery with a collaborative spirit. You should have a deep intuition for C++ and Qt, paired with the humility to iterate and grow within a high-velocity team.

LLM Engineer 

3-6 Years

Bengaluru/Mumbai/Remote

WHO WE ARE: 

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes. 

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. 

OUR VALUES: Go with your GUT 

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. 

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully. 

●I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Key responsibilities: 

• Work closely with the design and product teams to help craft conversational experiences for our users 
• Ability to work independently to deliver features that the team design 
• You need to own outcomes without someone watching over you 
• Understand the data we have and identify how we could leverage it to create more personalised experiences for our users 
• Fine tune models with data specific to our use case 
• Use different RAG approaches to augment data that the LLM already has ● Ability to be a leader and independent contributor (we’re a startup so be ready to do whatever it takes) 
• Setup new workflow, systems and tool from the ground up (you will have support, but we’re building things from scratch)
• 
  

Requirements: 

• 3+ years of experience
• Experience working with LLMs and Generative AI 
• Experience building conversational bots 
• Experience fine tuning models 
• Experience using RAG base approaches 

Understanding of financial concepts and investing would be a big plus but not required

• 4 - 5 years of system engineering experience on any programming language such as Java / .net / Python / angular
• Must have delivered 5 to 6 real time integration engagements for Archer
• Must have experience in developing Custom Objects on Archer to call deployed APIs or Archer’s internal APIs
• Must have strong expertise in developing multi-threaded, scalable applications to support heavy data transactions
• Must have strong expertise in designing applications with architectural patterns such as MVC
• Great to have exposure to DevOps or DevSecOps
• Great to have exposure to source code review or secure coding practices

Job Description:

You will be responsible for maintaining and scaling a high quality React Native social media Application.

Technical

Candidate should have:

• Built end-to-end React Native application with at least 5K users or more
• 1-4 years work experience in developing Android & iOS apps using React Native, React.js
• Thorough understanding of React Native and its core principles
• Knowledge of how to integrate SDKs like Firebase, Mixpanel, OneSignal, Branch
• End to end feature development for the stories provided
• Has implemented local data storage, caching, app optimization techniques
• Knows how to write unit test cases.
• Aware of app store build forming and release process
• Knowledge or experience with User Interface and Visual Design principles and techniques
• Understanding of software development lifecycle and version control (preferably Git)
• Must have experience in delivering software via complete Continuous Integration and Continuous Delivery (CI/CD) pipeline

Non-Technical

The ideal candidate joining us will be:

• a keen observer and a good problem solver with good communication skills
• ambitious, self-driven & equally a fun-loving team-player
• The ability to own end to end responsibility - right from requirement to release

Experience

• React Native: 2 years (Required)
• React Hooks/Redux: 1 year (Required)
• React.js: 2 years (Required)
• HTML/CSS/Bootstrap/jQuery: 1 year (Preferred)
• Jest/Enzyme or any other tool for unit/functional: 1 year (preferred)
• Git/Gitlab: 1 year (Required)
• Firebase, Branch: 1 year (Preferred)

About Clan:

Clan is a QnA social media platform with invite-only access to 1% intellectuals in India. We aim to make social media much more civil and meaningful.

Compensation: 40k-50k

Essential Skills:

• MS BizTalk
• Good Experience in Mapping, Orchestration, Deployments.
• Good to have experience in System Support (Operations)
• Knowledge on different Adapters/Configurations

Preferred Skills:

• Development Experience or Knowledge on MS Azure – Logic Apps, Functions, Service Bus, Storage.
• BizTalk 360
• C# or any Programming language basics
• Azure DevOps (CI/CD)