Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in hyderabad
>
Snow Planet
>
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Snow Planet

11 - 16 years

30 - 35 Lacs

hyderabad

Posted:21 hours ago| Platform:

Apply

Skills Required

analytical skills orchestration enterprise applications machine learning technical leadership engineering projects open source cost analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the team:

The

Agentic AI team

is a platform engineering group responsible for building ServiceNows

AI Agents framework

the foundational infrastructure that enables product teams and customers to create intelligent, autonomous agents. We design and develop agentic pipelines using

Python

and

Java

, delivering capabilities such as

agent reasoning, memory, orchestration, and evaluation

at enterprise scale.

Beyond core platform development, engineers on this team have the opportunity to contribute to

research initiatives

in agent learning, agentic evaluation methodologies, and analytics. We embrace the rapidly evolving landscape of

LLMs and Agentic AI

while maintaining the reliability and performance standards required to operate at ServiceNows scale.

What you get to do in this role:

Lead the design and architecture of AI solutions
, shaping how reasoning, memory, and orchestration come together in production systems.
Own
end-to-end delivery
from design through deployment ensuring solutions are
scalable, reliable, and performant
.
Work hands-on with
modern AI frameworks and open-source SDKs
, with a strong emphasis on
prompt engineering and pipeline optimization
.
Stay current with emerging advancements in
LLMs and Agentic AI
, integrating relevant techniques into our platform roadmap.
Provide
technical leadership
by mentoring engineers, conducting code reviews, and defining best practices that foster a culture of innovation and quality.
Partner with
product managers, architects, and leadership
to translate business requirements into robust technical solutions with measurable impact.
Champion
observability and evaluation for AI systems
, building out
logging, metrics, and automated evaluation frameworks
for production workloads.

To be successful in this role you have:

Experience in leveraging and critically evaluating AI integration
into work processes, decision-making, and problem-solving. This includes using AI-powered tools, automating workflows, analyzing AI-driven insights, and exploring AI s potential impact on business functions or the industry.
11+ years of experience
designing and implementing complex enterprise applications, with proven success in
conversational AI and NLP platforms
.
Strong development skills
in
Java and Python
, including building
production-grade AI/ML systems
.
Hands-on expertise
in
LLM-powered applications and tooling
, including frameworks such as
LangChain
and
LangGraph
, and vendor APIs such as
OpenAI
and
Anthropic
.
Deep understanding
of
agentic reasoning pipelines
, evaluation frameworks, and advanced NLP techniques.
Strong problem-solving abilities
with a bias for action, a customer-first mindset, and the ability to operate effectively in fast-paced environments.
Demonstrated analytical skills
in evaluating model performance, optimizing inference latency and cost, and improving system efficiency end-to-end.
Proven ability
to translate complex AI concepts into clear business value and communicate effectively with both technical and non-technical stakeholders.
Experience providing technical leadership
and guiding successful AI/ML engineering projects across teams or domains.
Bonus:
Publications, technical blogs, conference talks, or open-source contributions in
LLMs, GenAI, or AI systems engineering
.

More Jobs at Snow Planet

Director - Financial Reporting Management

Hyderabad

12 - 14 yrs

INR 14 - 16 Lacs

Director - Financial Reporting Management

Bengaluru

12 - 14 yrs

INR 14 - 16 Lacs

Staff Outbound Product Manager - Finance & Supply Chain BU

Hyderabad

8 - 9 yrs

INR 15 - 19 Lacs

Staff Inbound Product Manager

Hyderabad

9 - 10 yrs

INR 7 - 11 Lacs

Senior Accountant - Lease/Fixed Assets Accounting

Bengaluru

5 - 7 yrs

INR 2 - 5 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Machine Learning Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Snow Planet

Recreation

Rangiora

Before You Leave... Find Your Perfect Job!

Login to

Please Verify Your Phone or Email

Confirm Action

Contact Us

Staff Machine Learning Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

About the team:

Agentic AI team

AI Agents framework

Python

Java

agent reasoning, memory, orchestration, and evaluation

research initiatives

LLMs and Agentic AI

What you get to do in this role:

Lead the design and architecture of AI solutions

end-to-end delivery

scalable, reliable, and performant

modern AI frameworks and open-source SDKs

prompt engineering and pipeline optimization

LLMs and Agentic AI

technical leadership

product managers, architects, and leadership

observability and evaluation for AI systems

logging, metrics, and automated evaluation frameworks

To be successful in this role you have:

Experience in leveraging and critically evaluating AI integration

11+ years of experience

conversational AI and NLP platforms

Strong development skills

Java and Python

production-grade AI/ML systems

Hands-on expertise

LLM-powered applications and tooling

LangChain

LangGraph

OpenAI

Anthropic

Deep understanding

agentic reasoning pipelines

Strong problem-solving abilities

Demonstrated analytical skills

Proven ability

Experience providing technical leadership

Bonus:

LLMs, GenAI, or AI systems engineering

More Jobs at Snow Planet