for our AI/ML infrastructure and applications. The ideal candidate will have deep experience in
Generative AI (GenAI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)
, and
AWS Cloud Services
. This is a support-focused role, requiring strong troubleshooting skills and a solid understanding of production AI systems.
Key Responsibilities:
Provide daily remote support for AI systems and infrastructure.
Troubleshoot and resolve issues in applications built using
GenAI
,
LLMs
, and
RAG pipelines
.
Monitor and manage AWS services including
Lambda
and
S3
.
Write and debug Python scripts used in data pipelines, model inference, and automation tasks.
Use
Kibana
to analyze logs and ensure system stability and performance.
Collaborate with the engineering team to escalate and resolve complex issues.
Maintain documentation related to support issues, fixes, and best practices.
Required Skills:
Expertise in
Generative AI
and working with
Large Language Models (LLMs)
.
Hands-on experience with
RAG (Retrieval-Augmented Generation)
architectures.
Strong proficiency in
Python
for scripting and backend development.
Solid experience with
AWS Lambda
,
S3
, and related services.
Experience using
Kibana
for monitoring and log analysis.
Ability to debug and support production-grade AI/ML applications.
Excellent communication and problem-solving skills.
Preferred Qualifications:
Experience with
MLOps
or
deploying ML models
in production.
Familiarity with vector databases (e.g., FAISS, Pinecone).
Experience with API integrations and microservices.
Job Types: Contractual / Temporary, Freelance
Contract length: 6 months
Pay: From ?30,000.00 per month
Benefits:
Work from home
Experience:
Python: 8 years (Preferred)
GenAI: 4 years (Preferred)
AWS: 4 years (Preferred)
RAG: 4 years (Preferred)
Work Location: Remote
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