OnePint Software Private Limited
https://onepint.aiAbout
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Jobs at OnePint Software Private Limited
Machine Learning Engineer / AI Engineer
2 to 10 Years Experience
What if your models didn't just forecast demand — they autonomously acted on it?
We're building the next generation of supply chain intelligence, where AI agents don't just predict — they reason, decide, and adapt. If you're the kind of engineer who gets excited about turning a forecast into an autonomous decision engine, this role is for you.
Be Part of Something Bigger
At our core, we own the challenge and drive the future — taking full responsibility for delivering smart, sustainable solutions that optimize supply chains. We believe knowledge fuels confidence, fostering continuous learning, innovation, and expertise to push boundaries with clarity and purpose.
With a commitment to opportunities for all and growth for everyone, we create pathways for success, empowering individuals to thrive. Our strength lies in being stronger, smarter, together — harnessing diverse perspectives and collaboration to drive bold ideas. Above all, we focus on impact that matters and results that last, building intelligent, sustainable solutions that create long-term value for businesses and the world.
What You'll Build
You'll architect intelligent systems that sense demand shifts in real time and recommend actions before a human even asks. Specifically, you will work across:
• Agentic AI pipelines that go beyond prediction — systems that reason, decide, and adapt autonomously
• Advanced demand forecasting and sensing models using attribute-based and cohort-based approaches
• Signal integration frameworks that fuse external data and real-time market inputs
• Feature engineering at scale — lag structures, rolling aggregations, and derived features
• Model performance frameworks tied directly to measurable business outcomes
• Translating complex model insights into clear, actionable language for clients and leadership
Who You Are
You bring a strong foundation in machine learning and a genuine curiosity about where AI is heading. The ideal candidate has:
• 2–10 years of hands-on experience in ML, AI, or Data Science with proven model-building track record
• Python fluency — pandas, scikit-learn, XGBoost, LightGBM are second nature to you
• Deep understanding of time series forecasting and experience with large-scale transactional datasets
• Ability to connect model outputs to real business impact and articulate the 'so what' clearly
• Genuine curiosity about the power of AI and openness to emerging tools and paradigms — including agentic and generative AI
Bonus Points
• Experience in retail, supply chain, or inventory planning domains
• Exposure to hierarchical forecasting, new product forecasting, or ensemble methods
• Hands-on work with LLM-based agents or orchestration frameworks
Why This Role Is Different
Your models won't sit in a notebook — they'll drive decisions for real companies managing real inventory and real revenue.
• Work at the cutting edge of agentic AI in supply chain, a space being reinvented right now
• See your models directly influence supply chain decisions for enterprise brands, retailers, and grocers
• Collaborate with a team of domain experts, data scientists, and product leaders who obsess over outcomes
• Invest your curiosity in shaping how AI transforms an entire industry from the ground up
Key Performance Indicators
• Model accuracy, reliability, and real-world forecast performance
• Speed and quality of model deployment to production pipelines
• Business impact of AI-driven recommendations — measured in inventory efficiency and revenue outcomes
• Cross-functional collaboration effectiveness with product, engineering, and client teams
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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
- Founded in 2013, headquartered in Raleigh, North Carolina
- Serves 14,000+ companies globally
- Processes 20B+ daily events and supports 1B+ users
- 850+ employees across global offices
- Raised $350M+ total funding from investors like General Atlantic, Tiger Global, and Sapphire Ventures
Chisel was acquired by Pendo in 2026, marking a key milestone in its journey. The acquisition strengthens Pendo’s push into AI-driven product experience, with Chisel’s agentic capabilities becoming a core part of Pendo’s broader platform vision.
Chisel Labs is an AI-powered product management platform built to help product teams move faster and make better decisions. It operates in the product management and AI SaaS space, bringing feedback, roadmapping, and documentation into a unified system of record.
At its core, Chisel functions as an AI PM Agent, automating workflows like PRDs, research, and feedback analysis - allowing teams to focus on strategy, prioritization, and product outcomes.
About Chisel
Chisel is a lean, globally distributed team with presence across the US and India. The team operates at the intersection of AI, product management, and enterprise SaaS, with a strong emphasis on ownership, speed, and building for real-world product teams at scale. Post-acquisition, the team is now part of Pendo’s broader organization.
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- Founded in the early 2020s as a next-gen product management platform
- Built one of the early AI-native PM agents for automating product workflows
- Grew adoption across global teams with integrations like Jira, Salesforce, and Zendesk
- Achieved strong product recognition across PM tooling ecosystems
- Acquired by Pendo (2026) to accelerate AI innovation in product experience
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