{"id":1689354,"url":"https://alion.io/job/kpmg-manager-mlai-engineer-data-ai","title":"Manager, ml/ai engineer, data & ai","company":{"id":1186989,"name":"KPMG Canada","domain":"kpmg.ca","url":"https://alion.io/company/kpmg-ca","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":154000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-05T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-05T00:00:00Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"Overview\n\nAt KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.\n\nAre you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer with deep experience in AI/ML engineering and AI/ML engineering operations who can partner with clients to design, build, and operationalize AI‑powered solutions at scale.\n\nThis role will focus on translating advanced analytics, machine learning, and generative AI use cases into secure, scalable, and production‑ready solutions across on-prem and cloud environments (ideally on Azure but also GCP and AWS).\n\nWhat you will do\n\nPartner with clients to understand business problems and identify opportunities to apply AI and advanced analytics solutions. \nTranslate business and analytical requirements into end‑to‑end ML/AI solution design,\nExecute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow). \nDevelop and optimize AI and GenAI solutions using state-of-the-art tools and platform (AI Foundry, GCP Vertex AI, AWS Sagemaker and Bedrock). \nOperationalize AI/ML pipelines using AI/ML Ops best practices, including model deployment versioning, CI/CD, automated testing, and monitoring. \nImplement model monitoring, performance tuning, drift detection, and retraining strategies in production environments. \nCollaborate with data engineers to ensure reliable, scalable data pipelines that support model training and inference. \nApply responsible AI principles, including explainability, bias detection, model governance, and compliance with security and privacy standards. \nSupport client workshops, technical discussions, and stakeholder presentations related to AI strategy, solution design, and implementation.\n\nWhat you bring to the role\n\nUniversity degree in computer science, engineering, data science, mathematics, or a related discipline.\n5+ years of professional experience in machine learning, data science, AI engineering, or a related field, with demonstrated experience delivering production ML solutions.\nStrong proficiency in Python for data analysis, machine learning, and model development.\nHands‑on experience with machine learning frameworks/libraries and platform tools (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow).\nSolid understanding of ML algorithms, statistics, model evaluation techniques, and feature engineering.\nExperience designing and implementing end‑to‑end ML pipelines, including data preprocessing, model training, validation, deployment, and monitoring.\nPractical experience with ML Ops practices, including CI/CD, model versioning, experiment tracking, and automated retraining.\nExperience deploying ML models to cloud environments (Azure, AWS, or GCP) with an understanding of cloud‑native architecture and security principles.\nFamiliarity with big data or distributed processing frameworks (e.g., Spark) is an asset.\nExperience with generative AI, large language models (LLMs), prompt engineering, or retrieval‑augmented generation (RAG) is essential, experience with fine-tuning foundational models is an asset.\nStrong consulting and communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.\nProven ability to collaborate within cross‑functional and multi‑disciplinary teams to solve complex business problems.\nCertifications (Preferred)\nCloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer Associate or better, Databricks Generative AI Engineer).\nKPMG Ontario Region Pay Range Information\nThe expected base salary range for this position is $103,000 to $135,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.\n\nKPMG BC Region Pay Range Information \nThe expected base salary range for this position is $101,000 to $130,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. \n\nProviding you with the support you need to be at your best\n\nOur Values, The KPMG Way\n\nIntegrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters\n\nKPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.\n\nAdjustments and accommodations throughout the recruitment process\n\nAt KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.\n\nAI Usage\n\nWe embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.\n\nWe believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.","description_format":"text","description_chars":7258,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-02T10:40:56Z"},{"event":"close","at":"2026-10-05T14:36:00Z"},{"event":"reopen","at":"2026-10-20T07:43:45Z"}],"visa":[{"country":"CA","licensed_sponsor":true,"evidence":"Positions approved through LMIA in 12 months: 13","filings_12m":13,"filings_prev_12m":22,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"High Wage; Global Talent Stream","cap_exempt":false,"checked_at":"2026-10-03T21:10:52+00:00","sources":["ESDC: employers issued a positive LMIA"],"filings_for_role_12m":1}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.753,"p_room":0.45,"age_days":51,"expected_fill_days":30,"reasons":["seen:51","velocity","win:tail"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/kpmg-manager-mlai-engineer-data-ai","json_url":"https://alion.io/job/kpmg-manager-mlai-engineer-data-ai.json","meta":{"generated_at":"2026-10-26T20:18:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27409,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1186989},"rest":"https://alion.io/mcp/rest/get_company?id=1186989"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkpmg-manager-mlai-engineer-data-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkpmg-manager-mlai-engineer-data-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkpmg-manager-mlai-engineer-data-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kpmg-manager-mlai-engineer-data-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkpmg-manager-mlai-engineer-data-ai"}]}