Machine Learning Engineer

Discovr AI

3 years

0 Lacs

india

Posted:9 hours ago| Platform:

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Skills Required

learning ai optimization analyze design data extract model development ml processing algorithms query content monitoring engineering consistency tensorflow deployment aws gcp azure api etl database cutting

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title:

Location:

Experience:

About Discovr AI

Generative Engine Optimization (GEO) Platform

Role Overview

Machine Learning Engineer

Key Responsibilities

Model Development & Deployment
: Build and deploy ML models to analyze AI search responses and detect platform-level trends.
NLP & Intent Understanding
: Develop natural language processing algorithms to interpret
search intent, query classification, and citation patterns
.
Content Recommendation
: Create recommendation engines for
content and topic optimization
based on AI search trends.
Real-Time Monitoring
: Implement real-time monitoring systems to track
AI platform changes
(e.g., search results, answer citations).
Data Engineering (Bonus)
:
Build scalable data pipelines to
collect responses
across multiple AI platforms.
Manage
real-time data ingestion
from ChatGPT, Perplexity, Google AI, etc.
Create and maintain
data warehouses
handling millions of search queries and responses.
Ensure
data quality, consistency, and normalization
across platforms.

Required Skills & Experience

Strong proficiency in
Python
for ML and data workflows.
Experience with
ML frameworks
: TensorFlow or PyTorch.
Hands-on experience with
MLOps
, including model deployment and monitoring.
Familiarity with
cloud platforms
(AWS, GCP, Azure) for model hosting and data pipelines.
Experience in
API development
for serving models in production.
Bonus: Exposure to
data engineering
, ETL pipelines, and database management.

What We’re Looking For

A builder who thrives in
early-stage startup environments
.
Curious about
LLMs, AI search, and recommendation systems
.
Excited to work with
large-scale real-time data
across multiple AI platforms.
Someone who takes ownership, experiments fast, and can ship
end-to-end ML solutions
.

Why Join Us?

Be part of a
category-creating GEO platform
at the intersection of AI, search, and data.
Work with cutting-edge
LLM and AI-driven ecosystems
.
Remote-first, flexible culture with a
fast-moving team
.

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