6 junior mlops engineer jobs at 5 companies in Sanborn, NY
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Cloud/AI Platform Engineer
Toronto, Ontario, Canada
$76k-$142k/yrHybridFull Time
BMOTSX: BMO: Provides personal and commercial banking, investment, and wealth services.
0+ YOERecent bachelor's or master's graduate in a technical field with programming, software engineering, Linux, cloud, analytical, and collaboration skills; preferred exposure to AI, containers, MLOps, CI/CD, or infrastructure as code.
CitiNYSE: C: Providing global banking, investment, and wealth management services.
1+ YOE1-3 years software engineering experience focused on AI/ML and LLMs; strong Python and FastAPI skills; familiarity with PyTorch or TensorFlow, agent frameworks, prompt engineering, and design-system integration.
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
2+ YOE2+ years hands-on ML experience, strong programming in Python/Java/C++, cloud and MLOps experience, NLP and LLM evaluation skills, Airflow/DAG and data pipeline proficiency, CI/CD and containerization knowledge.
HSBCLondon Stock Exchange: HSBA: Provides global banking and financial services to individuals and businesses.
Bachelor’s degree or equivalent practical experience; proficiency in Python, data libraries, big data and cloud platforms; familiarity with Kubernetes, Linux, MLOps/LLMOps, and machine learning models.
Apache Hadoop, Hadoop Distributed File System (HDFS), Google BigQuery, Amazon EMR, Snowflake, Databricks, JupyterHub, MLflow, Google Vertex AI, Google Cloud Dataproc, Google Cloud Dataflow, Apache Airflow, TensorFlow, scikit-learn, pandas, NumPy, PySpark, Python 3, Application Programming Interfaces (APIs), Kubernetes, Large Language Models (LLMs), OpenAI, Claude, Gemini, Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, Linux
Stripe: Provides online payment processing and financial infrastructure for businesses.
2+ YOE2+ years software development experience building large-scale distributed services and production ML/MLOps platforms; experience with operations, product collaboration, and shipping ML models/LLM applications.