About the role
Job Summary We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems. Key Responsibilities Design and implement scalable ETL pipelines using Databricks & Spark Build Lakehouse architecture using Delta Lake Develop and deploy ML models using MLflow Implement MLOps pipelines for training, testing, and serving models Optimize cluster performance and reduce compute cost Build RAG and LLM-based solutions using Mosaic AI Integrate analytics with BI tools (Power BI, Tableau) Implement data governance using Unity Catalog Collaborate with Data Scientists and Business teams Ensure data quality, security, and compliance Required Skills Mandatory 5+ years of Databricks & Apache Spark Strong Python & PySpark Experience with Delta Lake & Lakehouse MLflow & MLOps experience Cloud platform (AWS/Azure/GCP) Git & CI/CD Preferred Experience with LLMs & Generative AI RAG pipelines & Vector Databases Deep Learning frameworks Databricks certifications Power BI integration
Requirements Job Summary We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems. Key Responsibilities Design and implement scalable ETL pipelines using Databricks & Spark Build Lakehouse architecture using Delta Lake Develop and deploy ML models using MLflow Implement MLOps pipelines for training, testing, and serving models Optimize cluster performance and reduce compute cost Build RAG and LLM-based solutions using Mosaic AI Integrate analytics with BI tools (Power BI, Tableau) Implement data governance using Unity Catalog Collaborate with Data Scientists and Business teams Ensure data quality, security, and compliance Required Skills Mandatory 5+ years of Databricks & Apache Spark Strong Python & PySpark Experience with Delta Lake & Lakehouse MLflow & MLOps experience Cloud platform (AWS/Azure/GCP) Git & CI/CD Preferred Experience with LLMs & Generative AI RAG pipelines & Vector Databases Deep Learning frameworks Databricks certifications Power BI integration
Not the right fit? Search for Data Engineer - jobs in Toronto, Ontario, Canada
About iLink Digital
Established in 2002, iLink Digital, an ISO 9001 and CMMI L3 accredited company is a global leader in digital transformation. We specialize in Data Engineering, Generative AI, Cloud Operations, Business Applications, and RPA consulting. With over two decades of IT excellence, our 2,500 experts across 18 offices serve Fortune 1000 clients worldwide. We proudly partner with industry leaders like Microsoft, Salesforce, AWS, UiPath, Outsystems, Databricks, and Confluent, earning multiple Microsoft Partner of the Year awards. iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems User Experience design, etc.
What makes iLink Digital's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.
Similar Jobs
About the role
Job Summary We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems. Key Responsibilities Design and implement scalable ETL pipelines using Databricks & Spark Build Lakehouse architecture using Delta Lake Develop and deploy ML models using MLflow Implement MLOps pipelines for training, testing, and serving models Optimize cluster performance and reduce compute cost Build RAG and LLM-based solutions using Mosaic AI Integrate analytics with BI tools (Power BI, Tableau) Implement data governance using Unity Catalog Collaborate with Data Scientists and Business teams Ensure data quality, security, and compliance Required Skills Mandatory 5+ years of Databricks & Apache Spark Strong Python & PySpark Experience with Delta Lake & Lakehouse MLflow & MLOps experience Cloud platform (AWS/Azure/GCP) Git & CI/CD Preferred Experience with LLMs & Generative AI RAG pipelines & Vector Databases Deep Learning frameworks Databricks certifications Power BI integration
Requirements Job Summary We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems. Key Responsibilities Design and implement scalable ETL pipelines using Databricks & Spark Build Lakehouse architecture using Delta Lake Develop and deploy ML models using MLflow Implement MLOps pipelines for training, testing, and serving models Optimize cluster performance and reduce compute cost Build RAG and LLM-based solutions using Mosaic AI Integrate analytics with BI tools (Power BI, Tableau) Implement data governance using Unity Catalog Collaborate with Data Scientists and Business teams Ensure data quality, security, and compliance Required Skills Mandatory 5+ years of Databricks & Apache Spark Strong Python & PySpark Experience with Delta Lake & Lakehouse MLflow & MLOps experience Cloud platform (AWS/Azure/GCP) Git & CI/CD Preferred Experience with LLMs & Generative AI RAG pipelines & Vector Databases Deep Learning frameworks Databricks certifications Power BI integration
Not the right fit? Search for Data Engineer - jobs in Toronto, Ontario, Canada
About iLink Digital
Established in 2002, iLink Digital, an ISO 9001 and CMMI L3 accredited company is a global leader in digital transformation. We specialize in Data Engineering, Generative AI, Cloud Operations, Business Applications, and RPA consulting. With over two decades of IT excellence, our 2,500 experts across 18 offices serve Fortune 1000 clients worldwide. We proudly partner with industry leaders like Microsoft, Salesforce, AWS, UiPath, Outsystems, Databricks, and Confluent, earning multiple Microsoft Partner of the Year awards. iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems User Experience design, etc.
What makes iLink Digital's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.