Senior Machine Learning Engineer

Taas Partners; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Taas Partners in Bengaluru seeks an experienced Senior ML Engineer to drive the development of next-generation conversational and dynamic AI agents. You will architect and scale systems enabling human-AI collaboration across workflows with a focus on low latency and cost efficiency.

The role demands leadership in RL, CV, and LLM fine-tuning, with hands-on work in scalable ML infrastructure and enterprise integration. Join a mission-driven startup shaping how enterprises deploy agentic AI.

Qualifications

• 2-8 years of experience in AI/ML roles.
• Expertise in reinforcement learning, computer vision, LLM fine-tuning, and applied ML research.
• Proficient in Python, Go, or Java.

Responsibilities

• Lead and mentor a team of engineers building agentic AI systems.
• Define technical vision, architecture, and product strategy.
• Design and scale enterprise-grade AI products leveraging RL, CV, and LLM fine-tuning.
• Drive low-latency, cost-optimized systems in production with robust engineering practices.
• Establish CI/CD pipelines, automation, and scalable integration.

Skills

Reinforcement Learning

Computer Vision

LLM fine-tuning

Applied ML research

Python

Go

Java

Job description

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.