QA Engineer

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

1. Channel encoding/Decoding techniques in Digital communication

2. Hands experience on Digital Modulation schemes (BPSK/QPSK/8PSK and QAM)

3. Experience on Digital Filters (FIR/IIR) design and Simulations

4. Hands on experience with Zynq Ultra scale/Kria SoM. Application porting on Peta Linux

5. Experience on FPGA, DSP & ARM Processor

6. Knowledge on SCA Standards

Responsibilities:

• Participation in the requirements analysis, design, development and testing of applications.
• The candidate is expected to write code himself/herself.
• The candidate is expected to write high level code, code review, unit testing and deployment.
• Practical application of design principles with a focus on the user experience, usability, template designs, cross browser issues and client server concepts.
• Contributes to the development of project estimates, scheduling, and deliverables.
• Works closely with QA team to determine testing requirements to ensure full coverage and best quality of product.
• There is also the opportunity to mentor and guide junior team members in excelling their jobs.

Requirements:

• BE/B. Tech. Computer Science or MCA from a reputed University.
• 3.5 - 6.5 Years of experience in software development, with emphasis on JAVA/J2EE Server side programming.
• Hands on experience in Core Java, Multithreading, RMI, Socket programing, JDBC, NIO, webservices and Design patterns.
• Should have Knowledge of distributed system, distributed caching, messaging frameworks ESB etc.
• Knowledge of Linux operating system and PostgreSQL/MySQL/MongoDB/Cassandra database is essential.
• Additionally, knowledge of HBase, Hadoop and Hive are desirable.
• Familiarity with message queue systems and AMQP and Kafka is desirable.
• Should have experience as a participant in Agile methodologies.
• Should have excellent written and verbal communication skills and presentation skills.

Job Description:

A sales development representative (SDR) is responsible for outbound sales prospecting for the Enterprise segment. Rather than trying to close deals, his/her work revolves around generating and qualifying new leads and moving them through the sales pipeline, until they’re ready to talk to the account executives/sales closers.

He/she has to validate and screen potential customers given by LDRs (Lead Development Representatives) who can benefit from our products. As the first line of communication with prospects, ideal SDRs should have a strong understanding of the sales process, excel at researching leads, understand key pain points, start new relationships, and set our sales closers up for success. You should be a quick learner with strong communication skills and have the ability to showcase our offerings compellingly. Every potential customer is an opportunity for you to boost top-line revenue growth, customer acquisition levels, and profitability.

Role & Responsibilities

• Generate Sales Qualified Opportunities from various lead generating channels through LDRs, LinkedIn, Company Reports and profiles etc.,
• Design email campaigns (persona wise) to generate interest in the leads.
• Do discovery meetings to understand the pain points of the prospects.
• Do email/calls to the target audience to generate interest and fix demo appointments.
• Represent our company’s products and services, starting with a comprehensive understanding and leading to consumer research to identify how our solutions meet needs.
• Build relationships by nurturing warm prospects and finding new potential sales outlets.
• Manage and maintain a pipeline of interested prospects and engage sales executives for the next steps.
• Identify best practices to refine the company’s lead generation.

Desired Candidate Profile

• Bachelor’s/Master’s Degree from an accredited University with relevant 0-2 years of sales experience.
• Must have strong interpersonal, communication, and presentation skills across a variety of channels (email, social media, phone, etc.)
• Should showcase a target-oriented approach toward his/her work.
• Possess a research-oriented approach to identifying opportunities.
• Prior automotive experience is preferred but not mandatory.
• Willingness to work outside the strict job description parameters, thinking creatively about how to provide the highest level of internal and external customer service.
• Strong desire and ability to come up with innovative ideas.
• Ability to see problems as opportunities.
• Prior experience in using CRM is preferred but not mandatory.

Employment Type Full-time

Work Time US and Latin America time zone

Apply through this link

https://garageplug.freshteam.com/jobs/ekCAEEHYZvAD/sales-development-representative-us-latin-america" target="_blank">https://garageplug.freshteam.com/jobs/ekCAEEHYZvAD/sales-development-representative-us-latin-america

• 3 - 6 Years of Experience in Golang Development
• Understands requirements well and comes up with an efficient design
• Develops complex, well-backed and bug-free products.
• Estimates accurately.
• Takes well-reasoned tech decisions keeping in mind goals and trade-offs
• Become a go-to person in more than one area. Provide technical mentoring to team
• Communicates clearly, gets clarifications, and establishes expectations for all parties
• Helps establish SDLC best practices and high standards of code quality
• Demonstrates excellent problem solving & debugging skills
• Proactively identifies and resolves issues in requirements, design, and code

Ideal Candidate Profile:

• Solid experience in Golang is a must.
• Solid understanding of Apache Products.
• Should have experience in cloud computing (AWS is desired).
• Has an ability to quickly learn and contribute in multiple codebases
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her
• Able to deep dive into the codebase and advise QA of possible regression impact
• Communicates tech decisions through design docs and tech talks
• Has delivered projects with end-to-end accountability
• Keeps track of industry trends and introduces the right tech/ tools for a given job
• Excellent understanding of software engineering practices,
• Design Patterns, Data Structures, Algorithms
• Experience in product-driven organization

Job Description:-

• IT/Web/SEO/Software service sales experience in International Market, Ability to generate lead by own, send proposals, well versed communication with International Clients. Capable to gather inquiry through LinkedIn.
• Achieve their target at any cost.
• Required Candidate profile Must have Knowledge in Web development and Digital Marketing services and software sales. Generating business from new accounts and existing accounts.
• Excellent communication skills.
• Confident, presentable & smart candidates.