Associate Machine Learning Engineer developing and deploying LLM and Agentic AI solutions for Manulife’s global financial services operations. Building data pipelines, APIs, and responsible AI systems.
About the role
- Entry-level ML Engineer building production machine learning and generative AI systems for Yelp’s local-business platform. Developing pipelines, training models, and deploying scalable applications.
Responsibilities
- Build machine learning systems end-to-end, turning raw data into valuable signals
- Develop data pipelines and train machine learning models
- Deploy machine learning models in production
- Deploy generative AI applications
- Work on challenges including ad personalization, search ranking, Voice AI, AI chatbots, advertiser retention and churn prevention, data-driven storytelling, clickstream analytics, content type classification, personalized business recommendations, and bot detection
- Collaborate with software engineers, applied scientists, and product managers to identify and use relevant consumer and business data
- Balance scale, latency, cost, and availability based on the problem
Requirements
- Experience developing and productionizing machine learning models, including their supported data pipeline
- Experience with machine learning packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, and Sklearn
- Strong coding skills in Python or equivalent, including Python, Java, or C++
- Familiarity with LLM models such as Anthropic, OpenAI, and Google Gemini
- Familiarity with agentic design, such as LangGraph
- Passion for architecting large systems with scalable interfaces
- Understanding of data pipelines for training and deploying machine learning models, and/or ETL pipelines for metrics, analytics, or product features
- Exposure to technologies including Apache Spark, AWS Redshift, AWS S3, Cassandra and other NoSQL systems, AWS Athena, Apache Kafka, Apache Flink, Java, AWS, and service-oriented architecture
Benefits
- Fully remote work option across Canada
- Yelp's five star benefits (details not provided in posting)
- Equal opportunity employer
- Reasonable accommodations for individuals with disabilities in the job application process
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
ML Ops Engineer building data pipelines, datasets, and training workflows for AeroVect’s autonomous ground - handling systems. Improving perception tooling, model diagnostics, and cloud efficiency.
Staff Model Risk Specialist governing machine learning and GenAI applications for Upstart, an AI lending marketplace. Evaluating model risks, controls, monitoring, and regulatory governance for Upstart Bank.
Student machine learning software engineer building end - to - end AI solutions at RBC Borealis, Royal Bank of Canada’s AI and data innovation group. Collaborating with researchers and business teams on algorithms, distributed data processing, and production - ready software.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s consumer businesses. Developing pricing and other commercial automation using experimentation, uncertainty, and policy learning.
Senior Deep Learning Engineer developing player - tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.
LP
Machine_Learning_Specialist / Data Scientist / AI Developer
LinkedIn Recruiter Post
We are seeking a Machine Learning Specialist / Data Scientist / AI Developer with 6+ years of experience in Python, R, SQL, and machine learning.
Machine Learning Specialist developing AI, models, and analytical data products for the Government of Alberta. Applying machine learning to improve public services and policymaking.
Machine Learning Engineer developing production AI models and scalable MLOps platforms for Wave, which helps small businesses thrive. Collaborating on financial - risk applications, governance, observability, and reliable deployment.
Senior Geospatial ML Engineer building satellite - imagery vegetation intelligence for a climate - tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.