Blue Machines AI

A little colour, a little celebration, and a whole lot of festive spirit at Blue Machines AI! We brought the spirit of Navratri to our office with an evening of Dandiya, laughter, and the team coming together beyond the usual workday. From festive outfits to Dandiya beats, the office was filled with energy, enthusiasm, and the joy of celebrating traditions together. The culture we're building at Blue Machines AI goes beyond what we achieve together. It's also about the traditions we celebrate and the connections we strengthen along the way. Here's to the festive spirit and many more celebrations ahead! Nirmit Parikh | Arpan Khosla | Karna Chokshi | Abhishek Ranjan | John Philip | Tanmay Desai | Kshitij Jain

Look who joined our team... . . . We’re excited to welcome Sakshya Sharma to Blue Machines AI as a Senior Associate – AI Solutions Delivery. As we continue to bring enterprise AI solutions into production, successful delivery goes beyond deployment. It requires understanding business challenges, managing real-world complexities, and ensuring AI solutions deliver measurable outcomes. Sakshya will be part of this journey, working at the intersection of technology, client requirements, and execution to help enterprises turn AI capabilities into real-world impact. As we continue to scale, people who can bridge the gap between AI innovation and enterprise execution will play an important role in what we build next. Welcome aboard, Sakshya! Nirmit Parikh | Karna Chokshi | Arpan Khosla | John Philip | Kshitij Jain | Abhishek Ranjan | Tanmay Desai

We’re proud to share that Blue Machines AI’s Agentic CX Platform is now available on Microsoft Marketplace, giving enterprises a more direct path to deploy production-ready Agentic CX AI. This marks an important milestone in expanding access for enterprises looking to operationalize AI across complex, high-volume customer journeys. Through Microsoft Marketplace, organizations can now access a platform already powering millions of production conversations, with unified AI across voice and digital channels, end-to-end workflow automation, enterprise system integrations, and journey-level insights. With the platform now available on Microsoft Marketplace, enterprises can move faster from AI ambition to production, scaling intelligent automation, integrating AI more deeply into customer journeys, and delivering more connected experiences at enterprise scale. As enterprise CX evolves, the advantage will shift from isolated AI interactions to intelligent, continuous journeys that understand context, act across systems, and improve every customer interaction at scale. Looking forward to building what’s next in enterprise CX. Nirmit Parikh | Karna Chokshi | Abhishek Ranjan | Arpan Khosla | John Philip | Kshitij Jain | Tanmay Desai

The next competitive advantage in enterprise AI won't come from capability alone. It will come from confidence. At Global Fintech Fest, Kshitij Jain, our COO, joined the panel on “AI Architecture for Regulated Industries” to discuss what it takes to build AI that enterprises can confidently deploy in business-critical customer journeys. As AI moves from experimentation to everyday operations, the expectations change. Technological sophistication alone is no longer enough. What matters is whether organizations can consistently rely on these systems, govern their behaviour, and remain accountable for the experiences they deliver. This shift demands a different approach to enterprise AI, one where trust isn't established through promises of technological capability, but earned through the reliability of real-world execution. And that's what will ultimately distinguish AI that demonstrates potential from AI that becomes an integral, trusted part of how enterprises operate. Nirmit Parikh | Arpan Khosla | Karna Chokshi | John Philip | Abhishek Ranjan | Tanmay Desai

If the kind of engineering leadership you enjoy involves moving between customer conversations, architecture reviews, production debugging, and helping engineers deliver, keep reading. We’re hiring a Engineering Manager/Sr. Engineering Manager, Forward Deployed Engineering (FDE) - North & West at Blue Machines AI. We’re looking for a deeply technical leader who can lead engineers, work directly with enterprise customers, and take complex AI deployments from ambiguous business problems to production systems that deliver measurable value. These are not the roles for managers who have moved away from technology. It is about: - Designing architectures and reviewing production code. - Debugging critical production issues alongside the team. - Translating customer workflows into AI-powered solutions. - Leading multiple deployments with reliability, scalability, and delivery quality in mind. - Building a high-performance engineering culture grounded in ownership and accountability. You’ll lead the FDE team at the intersection of Engineering, Product, AI, Customer Success, and enterprise customers, taking them from “We want to automate this workflow” to “The AI Employee is live, measurable, and delivering business value.” High ownership. Deep technical judgment. Direct customer impact. This is an opportunity to lead engineers, architect production-grade AI systems, and help define how AI Employees are deployed across industries. Experience: 8–12 years Location: Bangalore If this sounds interesting, the application links are in the first comment. And if you know someone who enjoys solving complex engineering problems, leading strong teams, and building AI systems that create measurable value for customers, send them our way. Nirmit Parikh | Karna Chokshi | Arpan Khosla | John Philip | Abhishek Ranjan | Tanmay Desai | Kshitij Jain

Look who joined our team... . . . We’re excited to welcome Yashi Jain to Blue Machines AI as a Product Analyst. As we continue to build AI solutions for real-world enterprise challenges, strong product thinking helps turn complex problems into clear, meaningful outcomes. Yashi will be part of that journey, bringing an analytical perspective to the product and contributing as she learns, grows, and works on new challenges. In her own words: “Really excited to have joined Blue Machines AI as a Product Analyst! It’s been a great start so far, and I’m enjoying getting to work on interesting problems while learning more about AI and the product side of things. Looking forward to learning, growing, and contributing along the way. Excited for what’s ahead!” As we continues to scale, curious and analytical people who are eager to understand problems and contribute to better products will help us keep moving forward. Welcome aboard, Yashi. Nirmit Parikh | Arpan Khosla | Kshitij Jain | John Philip | Abhishek Ranjan | Karna Chokshi | Tanmay Desai

Multilingual conversational AI is not defined only by how many languages a system supports. It is defined by how well the system understands customers when those languages overlap within the same conversation. In real customer interactions, people may switch languages mid-sentence, combine regional expressions with business terminology, or respond in a different language from the one in which the conversation began. At that point, literal translation is not enough. The AI agent must preserve the customer’s intent across each language shift, maintain the context of the interaction, and continue the journey without making the customer repeat themselves. That makes code-switching a critical test of whether multilingual AI can work effectively in enterprise environments. What matters most when customers switch languages mid-sentence? Explore how Blue Machines AI helps enterprises deploy production-grade Conversational AI: https://bluemachines.ai/ Nirmit Parikh | Arpan Khosla | Kshitij Jain | Tanmay Desai | Abhishek Ranjan | Karna Chokshi | John Philip

We’re pleased to welcome Sherean Mittal as our Revenue Head – North & West. As enterprise AI moves from experimentation to production, growth is about more than bringing technology to market. It requires understanding the realities of each business, identifying where AI can create meaningful value and building partnerships that turn opportunity into measurable outcomes. Sherean will lead our revenue strategy across the North & West regions, working closely with enterprises as they adopt and scale production-ready Agentic CX AI. Her focus will be on strengthening customer relationships, expanding our presence across these key markets and helping enterprises translate complex customer experience challenges into real business impact. As Blue Machines AI enters its next phase of growth, leaders like Sherean will be central to bringing our technology closer to the enterprises and customers it is built to serve. Welcome aboard, Sherean! Here’s to building the next chapter of enterprise CX together. Nirmit Parikh | Karna Chokshi | Arpan Khosla | John Philip | Abhishek Ranjan | Tanmay Desai | Kshitij Jain

If your favorite part of speech ML is going deep into why models fail, forming a research hypothesis, and turning that insight into a system that works in real conversations, keep reading. We're hiring a Senior ML Research Scientist, Speech at Blue Machines AI. We're looking for someone who combines research depth with rigorous experimentation and the ownership to take speech and language models from hypotheses to production. Not just by training models. But by: - Defining research directions for complex speech problems. - Designing experiments and evaluating model behaviour. - Improving speech recognition across real-world conditions. - Translating research breakthroughs into production systems. This role is for someone who understands that speech research does not end with better benchmark results. It is about: - Diagnosing failure modes across real conversations. - Building robust models for multilingual speech, accents, noise and code-switching. - Developing evaluation frameworks that drive continuous improvement. - Solving speech problems that emerge at enterprise scale. You'll work closely with AI, engineering and product teams to shape the speech intelligence behind Blue Machines AI's Conversational AI platform. High ownership. Deep research. Production impact. This is an opportunity to work across speech ML, multilingual AI, model evaluation and production-grade Conversational AI. 📍 Location: Bengaluru 💼 Experience: 3–6 years 🏢 Work setup: Hybrid/Office If this sounds interesting, the application link is in the first comment. And if you know someone who enjoys pushing speech models beyond benchmarks and building systems that work beyond the lab, send them our way. Nirmit Parikh | Karna Chokshi | Abhishek Ranjan | Tanmay Desai | Arpan Khosla | Kshitij Jain | John Philip