Senior Machine Learning Engineer

5 days ago


Bengaluru, Karnataka, India NAZZTEC Full time ₹ 15,00,000 - ₹ 20,00,000 per year

We're Hiring: Senior ML Engineer (Gen AI, Machine Learning)


Mandatory Skills:
Graph ML, Agentic AI


Location:
Remote


Domain:
Generative AI | Machine Learning | Distributed Systems

Overview

Are you energized by the idea of innovating with
Generative AI
?

Do you want to build
next-gen AI-driven products with real-world global impact
?

This is a
greenfield opportunity
to architect and scale intelligent AI systems across
Generative AI, Machine Learning, Big Data, and Cloud Computing
. You'll contribute directly to the
vision, technical roadmap, and user experience
—from concept to production.

Our
AI Core Group
is pioneering intelligent platforms powered by:

AI Agents

RAG systems & Knowledge Bases

Graph ML

Data Mining & Anomaly Detection

LLM Fine-tuning & Optimization

We are redefining how enterprises leverage AI by building
multi-agent autonomous systems that perceive, reason, and act in real time.

Key Responsibilities

Act as an AI thought leader, driving strategic innovation across products and platforms

Lead the full SDLC — design ➝ testing ➝ deployment ➝ operations

Participate in architecture reviews, design reviews, code reviews & technical strategy

Build high-performance, production-grade ML systems for real-time AI platforms

Extend and optimize ML/GenAI libraries, frameworks & internal toolkits

Collaborate with AI scientists & platform engineers to accelerate experimentation & deployments

Deploy and scale ML solutions across cloud-based distributed systems

Requirements

Degree in Computer Science, Mathematics, or a related field


8+ years of experience
across the full SDLC (design → development → deployment → operations)


5+ years of building & deploying end-to-end ML solutions in production

Hands-on experience with
RAG, AI Agents, LLM Fine-tuning and Gen AI
in production

Experience with
AWS / Azure / GCP
& distributed systems

Proven ability to solve
complex & ambiguous problems

Preferred Qualifications

MS / PhD in CS, ML or related field

Expertise in
Graph ML & Graph technologies
(GNNs, GraphRAG, etc.)

Experience with distributed
Big Data ecosystems:

Spark
• Flink
• Kafka
• PySpark
• Lakehouse
• Druid
• Hudi
• Glue

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