Splixon
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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
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About Us
Incubyte is an AI-first software development agency, built on the foundations of software craft, where the “how” of building software matters as much as the “what”. We partner with companies of all sizes, from helping enterprises build, scale, and modernize; to pre-product founders bring their ideas to life.
Incubees are power users of AI across the SDLC for speed and efficiency. Guided by Software Craftsmanship values and eXtreme Programming practices, we bring velocity together with the discipline of quality engineering to deliver high-impact, reliable solutions – fast.
Guiding Principles
- Living and breathing our guiding principles on a daily basis is key to success at Incubyte:
- Relentless Pursuit of Quality with Pragmatism
- Striving for exceptional quality without losing sight of practical delivery needs.
- Extreme Ownership Taking full responsibility for decisions, work, and outcomes.
- Proactive Collaboration Actively seeking opportunities to collaborate and leverage the team’s collective strengths.
- Active Pursuit of Mastery Continuously learning, improving, and mastering the craft, never settling for ‘good enough’.
- Invite, Give, and Act on Feedback
- Creating a culture of timely, respectful, actionable feedback for mutual growth.
- Ensuring Client Success Acting as trusted consultants and focusing on delivering true value and outcomes for clients.
Job Description
This is a remote position
Experience Level
This role is ideal for engineers with 5+ years of total experience, including strong hands-on software development experience and 1+ year of technical leadership experience, with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
Role Overview
As a Senior Engineer, you’ll ensure that projects don’t just get built — they get shipped. You’ll be the driving force behind architecture design, technical decision-making, project delivery, and stakeholder communication.
A Senior Craftsperson is a multiplier for any team:
- Able to independently own ill-defined, highly ambiguous projects.
- Thinks holistically across Product, Design, Platform, and Operations to deliver highly impactful solutions.
- Shapes roadmaps to tackle complex problems incrementally.
- Raises the quality, correctness, and suitability of their team’s work, with visible impact across their business domain and beyond.
- Strong mentor, role model, and coach for other engineers.
If you take pride in shipping high-quality software, mentoring teams, and creating an environment where engineers can thrive, we’d love to hear from you.
What You’ll Do
- Lead projects end-to-end, from architecture to deployment, ensuring timely, high-quality delivery.
- Collaborate with Engineering and Product Managers to plan, scope, and break work into manageable tasks.
- Always know if the project can ship, with clear trade-offs when needed.
- Drive technical decisions with a shipping-first mindset and active participation in key meetings.
- Maintain deep knowledge of your services, identifying risks and creating mitigation strategies.
- Review code for quality and best practices, mentoring engineers to improve their craft.
- Communicate clearly with stakeholders, set realistic expectations, and build trust.
- Support and guide engineers, helping unblock issues and foster collaboration.
- Anticipate challenges, prepare fallback plans, and facilitate problem-solving.
- Keep documentation accurate, up-to-date, and accessible.
You will also:
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- Link technical contributions directly to business impact, helping the team and stakeholders align.
- Contribute meaningfully to team goals, with visibility into business objectives over multiple quarters.
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- Anticipate and mitigate risks across connected systems, ensuring minimal operational impact.
- Proactively improve system quality and longevity while leveling up those around you.
- Shape roadmaps, vision, and practices of the engineering discipline, influencing both your team and the wider business.
Requirements
What We’re Looking For
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- Strong hands-on experience with Python and PHP (must-have) and react.js (good-have).
- 1+ year in a technical leadership role, managing pods or cross-functional teams.
- Proficiency in system design, service ownership, and technical documentation.
- Strong experience with code reviews and quality assurance practices.
- Proven ability to communicate effectively with technical and non-technical stakeholders.
- Track record of delivering complex projects on time.
You will also bring:
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Benefits
What We Offer
Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.
Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk.
Cutting-Edge Projects: Work on exciting projects with the latest AI technologies
Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.
Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind.
And More: Extra perks to support your well-being and professional growth.
Work Environment
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- Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered.
- Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team.
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About the company
About Pendo
Pendo is a leading product experience and software analytics platform that helps companies understand how users interact with their software and improve those experiences. It operates in the product analytics and digital adoption space, enabling organizations to combine analytics, in-app guidance, and user feedback in one unified platform.
Pendo – Key Highlights
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- 850+ employees across global offices
- Raised $350M+ total funding from investors like General Atlantic, Tiger Global, and Sapphire Ventures
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Advisors:
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Investors:
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