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Well-established, Canadian company is looking for a representative in five different locations, as our business is growing.
The person will be responsible for reaching out the immigration agencies to offer commission-based services, such as Travel, Visitor to Canada Insurance, financial services and many more.
Preferred qualifications:
Intermediate English
Experience in sales
Financial services knowledge
Critical thinking
Self-starting ability
KEY BENEFITS:
- Highly flexible, Work around your own schedule.
- Work from your laptop, from home or from the office. It is up to you!
We offer variable income—strong pay for performance incentive package.
Data Science
Machine Learning (ML)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
Hiring Now: International Voice Process (Entry-Level – Night Shift) 🌙
📍 Location: Kolkata (Work from Office)
🕐 Shift: Night Shift | 5 Days a Week
💼 Role: International Voice Process (Inbound)
👥 Open to: Freshers & Experienced Professionals (0–4 years)
💡 What We're Looking For:
Excellent communication skills in English
Willingness to work night shifts
Positive attitude and eagerness to learn!
💸 Salary & Incentives:
Experienced: Up to ₹35,000/month(negotiable)
Incentives: Up to ₹6 Lakhs based on performance
Daily Incentives!
🎁 Perks & Benefits:
Salary credited on the 1st of every month
Unlimited monthly incentives
24 paid leaves + 15 Comp Offs
Birthday Leave (or double pay if you choose to work)
Fast-track career growth opportunities
📞 Ready to Apply? Contact us today!
📱 Call/WhatsApp: eight zero one six zero nine nine seven eight eight
Kubernetes
Amazon Web Services (AWS)Required Skills:
- Experience in systems administration, SRE or DevOps focused role
- Experience in handling production support (on-call)
- Good understanding of the Linux operating system and networking concepts.
- Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
- Experience with Docker containers and containerization concepts
- Experience with managing and scaling Kubernetes clusters in a production environment
- Experience building scalable infrastructure in AWS with Terraform.
- Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
- Experience monitoring production systems
- Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
- HAProxy, Nginx, SSH, MySQL configuration and operation experience
- Ability to work seamlessly with software developers, QA, project managers, and business development
- Ability to produce and maintain written documentation
.NET
C#Roles and Responsibilities
- o Highly skilled in back-end development using .NET C#
- o Strong experience in Microsoft Azure environment
- o Strong experience in REST API development
- o Experienced in Microservice architecture
- o Experienced in an agile development and project environment
- o Experienced with Microsoft Teams, Git and GitHub
- o Strong ability to produce technical documentation for developed solution
- o Familiar with agile development tools like Atlassian jira favourable
- o Familiar with Azure SQL favourable
- o Understanding of CI/CD favourable
Javascript
PHP
Python
Ruby on Rails (ROR)
About us: Lemiride is a bike rental aggregator platform. We connect travelers who wish to rent a bike to vendors. Think of us as Amazon for bike rentals. We have operations in 18 places across India.
Travelers get to choose a bike of their choice in the convenience of their home before setting out. On the other hand, we help vendors have a wider reach and more business. We do this effectively at a lower cost, better speed using our integrated tech platform.
Prior to beginning the internship, you would be instructed on the manner in which we expect you to communicate and onboard the vendors.
Selected intern's day-to-day responsibilities include:
1. Travel to vendor locations and onboard vendors
2. Maintain data in a structured format and share an update report on a daily basis
3. Travel would be limited to their cities and nearby hubs if any
Swift
iOS App Development
Objective CWe are looking for an iOS developer responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones and tablet computers. Your primary focus will be development of iOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
Responsibilities:
- Design and build applications for the iOS platform
- Ensure the performance, quality, and responsiveness of applications
- Collaborate with a team to define, design, and ship new features
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organisation, and automation.
Requirements:
- Proficient with Swift 4 (depending on project requirements), and Cocoa Touch
- Experience with iOS frameworks such as Core Data, Core Animation, etc.
- Experience with Online/Offline storage, threading, and performance tuning
- Familiarity with RESTful APIs to connect iOS applications to back-end services
- Knowledge of other web technologies and UI/UX standards
- Understanding of Apple's design principles and interface guidelines.
- Knowledge of low-level C-based libraries is preferred.
- Familiarity with cloud message APIs and push notifications
- Knack for benchmarking and optimisation
- Proficient understanding of code versioning tools (such as Git, Mercurial or SVN)
- Familiarity with continuous integration
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