Senior ML Platform Engineer at Mistplay

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Mobile GamingIndustries

Requirements

More than 5 years of experience in building and operating ML/data platforms

Responsibilities

Design, build, and operate standardized training-to-deployment pipelines with Airflow, covering artifact management, environment provisioning, packaging, deployment, and rollback for SageMaker endpoints
Master real-time and batch inference on SageMaker: multi-model endpoints, serverless inference when appropriate, blue/green and canary strategies, auto-scaling policies, and cost controls (spot strategies, instance sizing)
Implement very low-latency model serving with Redis/Valkey: feature caching, online feature retrieval, per-request state, model response caching, and rate limiting/backpressure for burst traffic
Provision and manage ML/data infrastructure with Terraform: SageMaker endpoints/configurations, ECR/ECS/EKS resources, network/VPC endpoints, ElastiCache/Valkey clusters, observability stacks, secrets, and IAM
Build platform abstractions and golden paths: Airflow DAG templates, CLI/SDK, cookie-cutter repositories, and CI/CD pipelines that transition models from notebooks to production predictably
Establish and manage model lifecycle governance: model/feature registries, approval workflows, promotion policies, lineage, and audit trails integrated with Airflow executions and Terraform state
Implement end-to-end observability: data/feature freshness checks, drift/quality controls, model performance/latency SLOs, infrastructure health dashboards, traceability and alerts, as well as incident response and post-mortems
Collaborate with security, SRE, and data engineering teams on private networks, policy as code, personally identifiable information handling, least-privilege IAM, and cost-effective architectures across all environments
Evaluate, integrate, and rationalize platform tools (e.g., MLflow registry, feature stores, service meshes); lead migrations with clear change management and minimal downtime

Skills

Airflow

SageMaker

ML Pipelines

Real-time Inference

Batch Inference

Multi-model Endpoints

Serverless Inference

Blue/Green Deployment

Canary Deployment

Auto-scaling

Collaborative Filtering

Fraud Detection

Segmentation

Propensity Modeling

Text Classification

Sentiment Analysis

Mistplay

Loyalty platform rewarding mobile gamers

About Mistplay

Mistplay is a loyalty platform for casual mobile gamers that rewards users for playing games on their smartphones. Users download the app to discover new games and earn "Units"—points that can be redeemed for rewards like gift cards. The company generates revenue through partnerships with game developers and advertisers, allowing it to offer rewards without charging users directly. Mistplay differentiates itself by combining game discovery with social features, creating a community-driven experience that enhances user engagement.

Montreal, CanadaHeadquarters

2016Year Founded

BUYOUTCompany Stage

Consumer Software, GamingIndustries

201-500Employees

Risks

Subscrible's ad-free gaming catalog could attract Mistplay's user base.

The competitive mobile gaming landscape may increase user acquisition costs for Mistplay.

Mistplay's reliance on ad revenue is threatened by the trend of ad-free gaming experiences.

Differentiation

Mistplay combines game discovery with a robust rewards system and social features.

The platform offers personalized game recommendations through an AI-driven recommendation engine.

Mistplay hosts weekly contests, enhancing user engagement and retention.

Upsides

Mistplay's recognition as a top employer enhances its brand reputation and attracts talent.

The company's growth, with over two million monthly active users, indicates strong market demand.

Majority investment from GrowthCurve Capital provides resources for accelerated growth and innovation.

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