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Home
>
Jobs in bengaluru
>
Capgemini
>
AI Engineer

AI Engineer

Capgemini

9 - 12 years

8 - 18 Lacs

bengaluru

Posted:13 hours ago| Platform:

Apply

Skills Required

artificial intelligence machine learning aws python pytorch

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role Overview:

AI Engineer

Key Responsibilities:

AI/ML Development:

Design and implement ML models, including
fine-tuning and training LLMs
for domain-specific tasks.
Develop and optimize
data pipelines
for ingestion, processing, and analysis.

Generative AI & Prompt Engineering:

Create and refine prompts for GPT-based systems to improve accuracy and relevance.
Experiment with
emerging technologies
in generative AI for innovative solutions.

Software Engineering:

Build and maintain
REST APIs
and backend services using
Node.js, Express.js, and Python
.
Ensure
code quality
through reviews, version control (Git), and configuration management.

Cloud & Platform Management:

Deploy AI applications on
cloud platforms (AWS, Azure, PaaS)
and manage runtime environments.
Implement
application monitoring and performance management
for high availability.

Agile Project Management:

Collaborate in
SAFe/Agile at Scale
environments for iterative development.
Participate in sprint planning, backlog grooming, and team reviews.

Operational Excellence:

Support
IT operations
,
system integration
, and
systems monitoring
for AI solutions.
Troubleshoot and resolve issues related to
configuration, runtime, and performance
.

Required Skills & Qualifications:

Technical Skills:

Proficiency in
Python
,
Node.js
,
Express.js
, and REST API development.
Strong knowledge of
machine learning
,
data science
, and
statistics
.
Experience with
cloud computing
(AWS, Azure) and
application deployment
on platforms like Vercel.
Familiarity with
source code management
and
version control systems
(Git).

AI Expertise:

Hands-on experience with
LLMs
,
generative AI
, and
model fine-tuning
.
Understanding of
prompt engineering
and
functional analysis
for AI systems.

Soft Skills:

Strong problem-solving and analytical abilities.
Excellent communication and
team management
skills.
Ability to work in
agile environments
and manage multiple priorities.

Preferred Qualifications:

Knowledge of
application performance monitoring tools
.
Experience in
smart building automation
or
engineering domains
is a plus.
Familiarity with
SAFe
and
FAST agile frameworks
.
Role & responsibilities

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