Description

You will design, develop, and deploy machine learning models and AI solutions for business applications.

Responsibilities

• Build and optimize generative AI solutions using LLMs and diffusion models.
• Implement agentic AI systems capable of autonomous task execution.
• Manage ML pipelines from data ingestion through to model deployment.
• Ensure model security and compliance using specified protection frameworks.

Required Skills

• 3+ years of experience in machine learning engineering or a related field.
• Proven track record shipping ML models into production environments.
• Advanced Python programming with TensorFlow, PyTorch, and scikit-learn.
• Extensive experience with Generative AI, including LLMs and diffusion models.
• Experience building and utilizing Agentic AI architectures.
• Proficiency with Model Control Protocol (MCP) for agent communication.
• Hands-on experience with Google Cloud Platform (GCP) and Vertex AI.
• Familiarity with MLOps practices and CI/CD pipelines for ML.

Preferred Skills

• Bachelor's degree in Computer Science, Machine Learning, Data Science, or equivalent experience.

Key Skills

Education

Bachelor's or Master's degrees