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 We’re Looking For

Experience: 2-8 years of experience.
AI/ML Skills: Strong expertise in VOICE AGENT, 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.