Machine Learning Specialist developing and deploying innovative ML/DL solutions to monitor space environment at NorthStar Earth & Space. Collaborating with a multidisciplinary team to address space traffic management challenges.
About the role
- Lead AI/ML Engineer designing and optimizing algorithms at Xsolla, enhancing gaming solutions for developers globally.
Responsibilities
- Design, build, and optimize algorithm in Vertex ai.
- Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs.
- Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway.
- Implement CI/CD for data pipelines using Git, dbt, and automated testing.
- Define data quality checks and auditing pipelines for ingestion and transformation layers.
- Mentor and guide junior AI/ML engineers on data modeling, algorithm performance tuning.
- Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake.
- Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII).
- Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications.
- Tune algorithm performance.
- Establish data partitioning, clustering, and materialized views for fast query execution.
- Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight).
- Establish and enforce naming conventions, data lineage, and metadata standards across schemas.
- Lead code reviews, enforce documentation standards, and manage schema versioning.
- Contribute to the company’s evolving data mesh and streaming architecture vision.
Requirements
- 5+ years of experience in AI/ML engineering, with **3+ years in Vertex.ai**.
- Strong SQL and Python skills, with proven experience building **ETL/ELT** at scale.
- Deep understanding of algorithm** performance tuning**, **query optimization**, and **warehouse orchestration**.
- Experience with **data pipeline orchestration** (Airflow, Prefect, dbt, or similar).
- Solid understanding of **data modeling** (Kimball, Data Vault, or hybrid).
- Proficiency in **Kafka**, **GCP**, or **AWS** for real-time or batch ingestion.
- Familiarity with **API-based data integration** and **microservice architectures**.
- **Preferred**
- Experience lead **machine learning teams** or/and deploying **ML feature pipelines**.
- Background in **ad-tech, gaming, or e-commerce** recommendation systems.
- Familiarity with **data contracts** and **feature stores** (Feast, Tecton, or custom-built).
- Experience managing small data engineering teams and setting technical direction
- Strong ownership and ability to work autonomously in a fast-paced environment.
- Excellent cross-functional communication — can translate between engineering and business.
- Hands-on problem solver who balances velocity with reliability.
- Collaborative mentor who raises the bar for team quality and discipline
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
LP
Material handler or machine operator
LinkedIn Recruiter Post
Direct hire permanent role for Material Handler or Machine Operator in Brantford, ON. Pay rate $25 - $30/hour with night premium and overtime on 12 - hour continental shifts.
Machine Learning Engineer developing AI Agents utilizing LLMs for contact centers. Collaborating with engineering teams to integrate cutting - edge AI solutions in production environments.
Senior Machine Learning Engineer developing next - gen AI systems at Cresta. Leading high - impact AI initiatives and collaborating with cross - functional teams in a remote setting.
Senior Machine Learning Engineer focused on model optimization algorithms at Red Hat. Contributing to deep learning software and collaborating with product and research teams in open - source context.
Machine Learning Engineer designing and deploying ML pipelines at a fintech platform in Canada. Collaborating with engineers to optimize models and performance while implementing MLOps best practices.
Senior ML Engineer developing and improving ML Ops frameworks for autonomous vehicle solutions at Torc Robotics. Collaborating with developers to drive future innovations in autonomous freight on a global scale.
Lead Machine Learning Engineer at Torc Robotics improving frameworks for autonomous vehicles. Join a team that develops advanced solutions in the autonomous vehicle space.
ML Engineer role at Eqvilent constructing systems for data validation and ML models. Involves data pipelines, exploratory analysis, and machine learning model evaluations.
MLOps Engineer improving training pipelines and model performance for Eqvilent. Responsible for implementing CI/CD and monitoring systems in a remote work environment.