Data Scientist

Data Scientist

Key Responsibilities:

• Design, develop, and optimize

  AI/ML agents

  , leveraging frameworks such as

  ADK

  and

  Agent Engine

  to deliver highly autonomous and reliable agentic workflows.
• Lead

  hands-on code delivery

  , including prototyping, implementing, testing, and deploying agent features and ML components.
• Build and maintain cloud-native microservices to support agent orchestration, deploying production workloads on

  Cloud Run

  .
• Develop, train, and fine-tune custom machine learning models using

  GCP Model Training pipelines

  ,

  Vertex AI

  , and related MLOps tooling.
• Implement agent evaluation, monitoring, and continuous improvement strategies across model lifecycle stages.
  
• Collaborate with cross-functional teamsproduct, research, and platformto translate requirements into scalable technical solutions.
  
• Ensure system reliability, security, and performance, following industry best practices and cloud-native architectures.
  

Required Qualifications:

• 4+ years of experience in

  AI/ML engineering

  , with strong software development skills (Python preferred).
• Proven experience designing or integrating

  agent architectures

  , such as those built with

  ADK

  or

  Agent Engine

  .
• Demonstrated ability in

  hands-on code delivery

  , including CI/CD practices and cloud-native development.
• Strong experience with

  Google Cloud Platform

  , especially

  Cloud Run

  ,

  Vertex AI

  , and

  Model Training

  workflows.
• Solid understanding of machine learning fundamentals, model evaluation, and production deployment patterns.
  
• Experience with containers (Docker), distributed systems, and scalable API development.
  

Preferred Qualifications:

• Experience with LLMs, generative AI, and fine-tuning foundation models.
  
• Familiarity with agent evaluation frameworks and multi-agent system design.
  
• Background working in agile teams and fast-paced, research-driven environments.