Remote Sr Artificial Intelligence Engineer

Wolf Recruiter Company; Philippines; Hybrid; PHP 1,116,000 - 1,674,000; Full time

Job summary

A leading tech recruitment firm is looking for a Remote Sr Artificial Intelligence Engineer who is passionate about building innovative AI solutions. The successful candidate will collaborate with cross-functional teams while leveraging advanced AI tools like AWS and Huggingface. An ideal candidate has extensive experience in AI and machine learning technologies and strong programming skills in languages such as Python and Java. This opportunity offers a chance to work on transformative AI projects within a fast-paced environment, contributing to the future of banking operations.

Qualifications

• 8+ years of experience developing AI and ML algorithms or technologies.
• Strong foundation in engineering and mathematics.
• Proven experience programming with Python, Go, Scala, or Java.

Responsibilities

• Partner with engineers, research scientists, and product managers to deliver AI solutions.
• Design, develop, test, and support AI software components.
• Introduce optimization techniques to improve AI systems.

Skills

Python

AI and ML algorithms

Go

Scala

Java

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, or related fields

Master's degree in Computer Science, AI, Electrical Engineering, or related fields

Tools

AWS

Google Cloud

Azure

Huggingface

PyTorch

Job description

Remote Sr Artificial Intelligence Engineer

Role Description

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with UBER.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance scalability, cost, latency, throughput of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at UBER.

Candidate

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
• At least 8 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications

• 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers