Senior Machine Learning Engineer

About the job About Client - We are pioneering the Autopilot Enterprise . Our conversational AI agents handle workflows, drive outcomes, and deliver measurable impact for businesses. Born from the belief that enterprises need a new playbook, we build autonomous, multilingual agents capable of complex reasoning, contextual understanding, and end-to-end workflow ownership. Role Overview We are seeking an experienced ML Engineers (Senior) to drive the development of next-generation conversational and dynamic AI agents . You will architect and scale systems that enable: Conversational Agents (Voice & Chat): Human-like, open-ended dialogues without rigid workflow design. Dynamic reasoning to achieve goals (e.g., selling a personal loan). Continuous self-learning from conversation outcomes. Operating at minimal latency and cost . Dynamic Workflow Agents: Agents that learn workflows (Sales, Support, Admin) by observing humans . Self-learning from live agent behavior, recordings, and transcripts . Ability to see, process/understand, reason, and interact with GUIs/browsers . One-shot learning from escalations, ensuring accurate human-AI collaboration. Human agent assist & copilot features driven by workflow context. This is a rare opportunity to shape how enterprises adopt agentic AI, working directly at the intersection of AI research, applied ML, scalable infrastructure, and real-world enterprise workflows . Key Responsibilities Leadership & Vision Lead and mentor a team of engineers building agentic AI systems . Define technical vision, architecture, and product strategy. Architecture & Delivery Design and scale enterprise-grade AI products leveraging reinforcement learning, computer vision, and LLM fine-tuning . Drive low-latency, cost-optimized systems in production. Ensure robust engineering standards, testing, and security practices. Innovation & Integration Develop pipelines for self-learning agents from conversations and human workflows. Architect systems for human-in-the-loop escalation and AI copilots . Collaborate with product, design, and research teams to deliver real-world outcomes . Operational Excellence Establish CI/CD pipelines, automation, and best practices. Proactively identify risks and resolve technical challenges. Optimize for scalability, reliability, and enterprise integration. What Were Looking For Experience: 2-8 years of experience. AI/ML Skills: Strong expertise in Reinforcement Learning, Computer Vision, LLM fine-tuning, and applied ML research . Systems Expertise: Proven ability to build and scale large-scale distributed systems and enterprise-grade products. Infrastructure Skills: Deep understanding of cloud platforms (AWS, GCP, Azure) and scalable architecture. Hands-on Engineering: Proficiency in Python, Go, Java , or equivalent languages. Mindset: Passion for building product-first AI systems (not services), strong execution ability, and innovation-driven leadership. Why Join? Work at the cutting edge of AI and enterprise technology Be part of a mission-driven, high-growth startup Direct impact on products used by large-scale enterprise clients A vibrant and dynamic work environment fostering professional growth and innovation. Competitive compensation and performance-based incentives. A front-row seat in the GenAI revolution, working with a team of passionate, like-minded innovators.