Located in Canada we're seeking a skilled AI/ML Engineer to develop robust data pipelines on our Google Cloud Data Platform. You'll design, optimize, and deploy solutions to support scientific discovery, using languages like Java, Scala, and Python. Collaborating closely with product managers, you'll ensure the continuous delivery of technology solutions, adhering to Agile and DevOps principles. Responsibilities include designing data pipelines, implementing ETL programs, and maintaining compliance with data governance policies. Your role will involve real-time and batch processing, enforcing data representation standards, and ensuring technical delivery meets security and regulatory standards. You'll work closely with Data Scientists, SREs, and Product Managers to deliver high-quality software and deploy machine learning models using Python and Jupyter notebook. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form . The EEOC "Know Your Rights" Poster is available here . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Required Skills & Experience - Experience with data engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management (Git, Github actions, continuous integrations, testing, and operations) - Programing languages - Terraform Java SQL python - Experience with Data Ware housing - Red - experience with a public cloud - Moving into GCP currently operating in Azure - Basic understanding of Shell Scripting - Experience with Agile, DevOps & Automation testing, build, deployment, CI/CD Deployments - AI/ML Methodologies

Nice to Have

Skills & Experience - experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) - experience working on real-time data and streaming applications - Experienced with visualization tools like SSRS, Excel, PowerBI, Tableau, Google Looker, Azure Synapse Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.