with at least 2 years of experience to join our team. In this role, you will be responsible for designing, developing, and deploying scalable AI/ML solutions, with a focus on building AI-driven applications. The position involves optimizing search solutions, working with vector databases, and leveraging modern technologies. You will also be expected to collaborate closely with cross-functional teams to deliver high-quality software solutions that align with our business objectives.
Skills Required
2+ years of professional experience in
Python
development, with a focus on AI/ML applications.
Proficiency in
Python
and experience with
FastAPI
for building scalable applications.
Familiarity with
vector databases
(e.g.,
FAISS
,
OpenSearch
,
Kendra
,
Vertex AI Search
).
Exposure to building
microservices architecture
.
Understanding of
distributed ETL pipelines
for data processing.
Working knowledge of
NoSQL databases
(e.g.,
MongoDB
,
Cassandra
).
Familiarity with
CI/CD pipelines
and
Infrastructure as Code (IaC)
tools like
Terraform
and
CloudFormation
.
Responsibilities
Design, develop, and deploy AI/ML solutions for scalable, AI-driven applications.
Build and optimize
semantic search applications
for unstructured data, utilizing vector databases.
Implement
Retrieval-Augmented Generation (RAG)
techniques for improving AI-driven search and content generation.
Develop scalable
microservices
using
FastAPI
(Python).
Integrate and work with
LLM (Large Language Models)
APIs, including
OpenAI
,
Claude
,
DeepSeek
, and other models.
Develop, maintain, and optimize
CI/CD pipelines
for seamless automated deployment.
Implement
Infrastructure as Code (IaC)
using
Terraform
,
CloudFormation
, or equivalent tools.
* Manage and query
NoSQL databases
for metadata storage, querying, and indexing.
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