Putting people first, every dayBDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award‑winning environment that fosters a people‑first culture with a high priority on your personal and professional growth.Your OpportunityBDO Digital is seeking an experienced and technically proficient Senior ML Engineer to join our Technology Advisory Services practice. This role blends technical leadership with hands‑on MLOps development, focusing on delivering scalable, secure, and production‑grade machine learning pipelines using Azure and Databricks. The successful candidate will also lead client engagements, aligning ML initiatives with business objectives to create real‑world impact.Key ResponsibilitiesMLOps and Platform DevelopmentDesign and implement end‑to‑end MLOps pipelines using Databricks, MLflow, and related tools.Build and manage scalable data and feature engineering pipelines in Databricks.Automate model lifecycle processes including training, testing, deployment, and monitoring.Implement CI/CD workflows using tools such as Azure DevOps or GitHub Actions.Ensure operational reliability, performance, and compliance across all ML workflows.Client and Delivery ManagementServe as a primary technical lead for client engagements focused on ML solution delivery.Translate business goals into machine learning strategies and operational plans.Collaborate with cross‑functional teams to integrate models into production environments.Machine Learning ApplicationConvert data science prototypes into robust, scalable ML solutions.Apply appropriate ML algorithms to structured and unstructured data problems.Evaluate model performance, run experiments,



and iterate for improvement.Document ML pipelines and contribute to internal knowledge sharing.QualificationsRequiredEducational Background: A Bachelor’s or master’s degree in computer science, data science, engineering, or a closely related discipline with a strong foundation in algorithms, data structures, machine learning, and distributed systems.Professional Experience: Minimum of 5 years of hands‑on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct MLOps or machine‑learning engineering roles. Proven success in deploying and maintaining ML solutions in production.Azure Ecosystem: In‑depth knowledge of Microsoft Azure services such as Azure Machine Learning, Azure Data Lake, Azure Kubernetes Service (AKS), and Azure DevOps, with the ability to build secure and scalable ML workflows.Databricks Proficiency: Very strong experience with Databricks, Delta Lake, MLflow, and Apache Spark, and optimizing performance and reliability in production.Programming: Advanced skills in Python and familiar with machine‑learning libraries such as scikit‑learn, TensorFlow, and/or PyTorch.CI/CD & DevOps: Solid understanding of CI/CD practices, experience designing pipelines with GitHub Actions, Azure DevOps, or Jenkins, and knowledge of infrastructure‑as‑code tools such as Terraform or ARM templates.Communication: Excellent written and verbal communication skills with the ability to explain technical concepts to non‑technical stakeholders.PreferredCertifications such as Databricks Certified Professional or Microsoft Certified (e.G., Azure Solution Architect).Knowledge of LLM frameworks and libraries such as transformers, trl, deepspeed, and PyTorch, with experience deploying production‑scale ML solutions.Consulting experience and solid client‑management skills.CompensationThe expected range of compensation for this role is $84,000 to $128,000.#J-18808-Ljbffr

📌 Senior Machine Learning Engineer - $84,000 - $128,000 A Year (Winnipeg)
🏢 BDO Digital
📍 Winnipeg