Fully Remote Ml/Ai Engineer - Near Shore - Insight Global : Job Details

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 diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, 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 HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

- 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 - 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