Job Title

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 frameworksExtensive hands-on experience with enterprise-scale AI/ML systemsSolid knowledge of PyTorch and TensorFlowFamiliarity with BigQuery, LangGraph, and LangChainExperience working with Kubernetes, Docker, and Cloud ComposerGCP strongly preferred, though highly experienced senior engineers in other cloud platforms may be consideredMandatory: At least 2 years of experience in retail or loyalty programsWhat You Will DoArchitect and maintain scalable cloud infrastructure using GCP services such as:Vertex AIBigTableBigQueryCloud ComposerAutomate and orchestrate end-to-end ML workflows, including ingestion, feature engineering, model training, evaluation, and deploymentEnhance platform usability and improve scalability for ML practitionersOptimize data pipelines for low latency and cost efficiencyImplement monitoring, alerting, and disaster recovery mechanismsContinuously evaluate emerging technologies and improve engineering best practicesRequired QualificationsBachelors or Masters degree in Computer Science, Engineering, or a related discipline6+ years of experience in software engineering, cloud infrastructure, data engineering, or ML platformsStrong hands-on experience with GCP tools, including:Vertex AIBigQueryBigTableCloud ComposerCloud StorageExpert-level Python skills (technical test will be in Python)Experience with Java or SQL for backend or data processing workflowsProficiency with workflow orchestration (e.g., Apache Airflow)Strong CI/CD and DevOps experienceProficiency with Docker and Kubernetes