Data Platform Engineer F/H

5 days ago

Montreal, Quebec, Canada GHGSat Inc. Full time
Job Description

GHGSat Inc. is seeking a highly skilled Data Platform Engineer F/H to join our team. As a key member of our data science team, you will be responsible for implementing MLOps Architecture on an AWS-based cloud, addressing core MLOps components for version control, data management, model training and validation, model deployment, model monitoring, and lifecycle management.

Key Responsibilities
  • Collaborate with data scientists across cross-functional teams to understand developed models, contribute to model development, and efficiently serve AI models.
  • Develop robust feature stores, leveraging data from varying data products and building scalable ETL/ELT pipelines to suitably prepare data for model training and serving.
  • Support serving ML Models as a Product, managing traffic, inference, drift detection, and setting up clear visualizations and dashboards to gauge model performance based on defined metrics and KPIs.
  • Optimize model training and serving for performance and scalability, leveraging distributed computing resources and advanced hardware like GPUs and TPUs on the cloud.
  • Set up proactive monitoring and alerting systems to detect and respond to anomalies in data, model performance, and infrastructure health.
Requirements
  • 5+ years of relevant experience as an MLOps Engineer, DevOps engineer with MLOps experience, Data scientist, or Data Engineering.
  • Bilingualism (English & French) is essential due to international customers and partners.
  • Proven experience in managing and deploying machine learning models in a production environment using AWS or Databricks MLOps offerings.
  • Extensive experience with AWS, particularly in using services such as AWS Sagemaker Workflow and Feature Store, AWS Lake Formation, Redshift, Eventbridge, AWS Glue, and Glue data quality.
  • Experience in a Python and SQL-based environment, including ML/AI modeling concepts, postGIS, and a track record in engineering Data Science/Computer Vision innovations in the GIS space.
  • Strong experience with CI/CD tools and version control systems.
  • Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and their deployment in production environments.
  • Experience with Databases and cache: Experienced with DBMS technology, including Postgres, SQLServer, Oracle, MongoDB, MySQL, and caching mechanisms such as Redis, Memcached, and Varnish.
Preferred Qualifications
  • ETL/ELT with Apache Airflow, AWS Glue, AWS Data Migration Services, DBT.
  • Deploying Machine Learning Models with AWS SageMaker and/or Databricks MLFlow.
  • Experience with Data Warehouse and Data Lakehouse like Delta Lake concepts, AWS Redshift, and Databricks.
  • Knowledge of monitoring tools and log management systems (e.g., Prometheus, ELK stack) for tracking model performance and infrastructure health.
About GHGSat Inc.

GHGSat Inc. offers a creative and highly motivating work environment. We offer competitive salaries, health and social benefits, including flex-time and continuing development.

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