computer systems engineer
Title posted on CareerBeacon -
Machine Learning Engineer II
Posted on
September 26, 2024
by
Employer details
TD Bank
Job details
Work Location:CanadaHours:37.5Line of Business:Analytics, Insights, & Artificial IntelligencePay Details:We're committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.Job Description:We are looking for experienced Machine Learning Engineers who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid machine learning engineering experience. They should also have expertise in data engineering, machine learning system design and MLOps.Key Responsibilities:Traditional ML: Develop and deploy batch and real-time model inference pipelines to production, perform end-to-end integration testing.Gen AI: Develop and deploy scalable production Gen AI systems for Gen AI models.Mode Serving Framework: Develop in house model serving framework or integrate open-source model serving framework with enterprise data platform.ML System Design: Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.Data Analysis & Processing: Perform data analysis, data preprocessing, and feature engineering on complex and large datasets for machine learning models.Model Deployment & Monitoring: Build and deploy model inference pipeline, ground truth pipeline, model monitoring pipeline to production environment. Continuously monitor production model performance and system performanceAutomation: Build CI/CD pipelines to automate model deployment, model deployment validation, model performance monitoring, and model retraining.Research: Stay up to date with the latest advancements in AI/ML technologies and apply them to improve existing ML systems or develop new systems and solutions.Technical Leadership: Provide technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.Collaboration: Work with machine learning scientists, product owners, data platform team and business partners to gather use case requirements and implement technical solutions for production AI/ML models. Job Requirements:Required Technical QualificationsBSc+ in Computer Science, Math, Physics, or similar2+ years of extensive programming experience, 1+ year experience of building machine learning production systemSolid knowledge of applied Machine Learning, Deep Learning, Large Language ModelsExperience with developing MLOps CI/CD pipelines for deploying AI/ML modelsSolid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data FactoryStrong experience with PySpark for big data processing and PyTorch for deep learning model servingExpert coder with Python, Java, or ScalaExperience with RAG, LLM fine tuning, LLM servingPractical expertise in performance tuning, bottleneck problems analysis, and troubleshootingPreferred Qualifications:Knowledge of cloud engineeringSelf-motivated and demonstrated ability to take independent action to delivery results.Highly developed critical thinking, analytical and problem-solving skillsStrong verbal and written communication skills, with the ability to work effectively across teamsWho We Are:TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guid
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LocationToronto, ON
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Workplace information
On site
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SalaryNot available
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Terms of employment
Permanent employmentFull time
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Starts as soon as possible
- vacancies
1 vacancy
- Source
CareerBeacon
#2114697
Advertised until
2024-10-26
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