Machine Learning Engineer

2 weeks ago


Alton, Canada TEEMA Full time

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



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