Senior AI / Machine Learning Engineer

6 months contract plus extensions

We are seeking a Senior AI / ML Engineer with deep hands-on experience building Agentic AI systems and deploying production-grade machine learning applications at enterprise scale. This role focuses on designing high-performance cloud infrastructure, orchestrating ML workflows, and enabling scalable AI solutions.

Key Skills & Technical Requirements (Must-Haves)

• Senior-level, hands-on experience building Agentic AI systems using the LangGraph ecosystem (LangChain, LangGraph, LangServe, etc.)
• Proven track record delivering production-scale AI applications (not prototypes)
• Strong experience with Python, LLMOps, and AI orchestration frameworks
• Extensive hands-on experience with enterprise-scale AI/ML systems
• Solid knowledge of PyTorch and TensorFlow
• Familiarity with BigQuery, LangGraph, and LangChain
• Experience working with Kubernetes, Docker, and Cloud Composer
• GCP strongly preferred, though highly experienced senior engineers in other cloud platforms may be considered
• Mandatory: At least 2 years of experience in retail or loyalty programs

What You Will Do

• Architect and maintain scalable cloud infrastructure using GCP services such as:
• Vertex AI
• BigTable
• BigQuery
• Cloud Composer
• Automate and orchestrate end-to-end ML workflows, including ingestion, feature engineering, model training, evaluation, and deployment
• Enhance platform usability and improve scalability for ML practitioners
• Optimize data pipelines for low latency and cost efficiency
• Implement monitoring, alerting, and disaster recovery mechanisms
• Continuously evaluate emerging technologies and improve engineering best practices

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
• 6+ years of experience in software engineering, cloud infrastructure, data engineering, or ML platforms
• Strong hands-on experience with GCP tools, including:
• Vertex AI
• BigQuery
• BigTable
• Cloud Composer
• Cloud Storage
• Expert-level Python skills (technical test will be in Python)
• Experience with Java or SQL for backend or data processing workflows
• Proficiency with workflow orchestration (e.g., Apache Airflow)
• Strong CI/CD and DevOps experience
• Proficiency with Docker and Kubernetes