WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

AI ML Developer with Data Science

BridgeNexus Technologies Inc
Los Angeles, CA, United States
about 1 month ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Artificial Intelligence Microsoft Azure Cloud Engineering Computer Programming Databases Python (Programming Language) Machine Learning Performance Tuning Redis Search Technologies Prompt Engineering
+3 more
Cosmos DB Serverless Computing Golang

Requirements

  • Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol
  • Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering.
  • Strong programming skills in at least two of the following: Python, Java, Go.
  • Proficiency in deploying solutions on Azure Cloud.
  • Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus).
  • Proven ability to design and manage Azure Functions and Azure Container Apps.
  • Strong understanding of cloud-native architecture, scalability, and performance optimization.
  • Strong Communication skills.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:12 min

Building intelligent applications and enhancing developer productivity experiences

Alexander Wallner Alexander Wallner +3 · World Congress 2024

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

3:42 min

Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

Videos

See all
Best practices: Building Enterprise Applications that leverage GenAI thumbnail
24:24
World Congress 2025 • about 1 year ago

Best practices: Building Enterprise Applications that leverage GenAI

Damir

Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis) thumbnail
34:39
about 1 year ago

Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)

Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall! thumbnail
30:37
World Congress 2026 Europe • about 2 months ago

Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!

Manfred Bjørlin

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Accelerating Authentication Architecture: Taking Passwordless to the Next Level thumbnail
49:52
LIVE • almost 3 years ago

Accelerating Authentication Architecture: Taking Passwordless to the Next Level

Yedidya Schwartz

Related articles

See all