Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA companies partner with Xsolla to help them fund distribute market and monetize their games. Grounded in the belief in the future of video games Xsolla is resolute in the mission to bring opportunities together and continually make new resources available to creators. Headquartered and incorporated in Los Angeles California Xsolla operates as the merchant of record and has helped over 1500 game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win developers have all the things needed to enjoy the game.
Responsibilities
- 1. Architecture & Development
- 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.
- 2. Leadership & Collaboration
- 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.
- 3. Performance & Scalability
- 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).
- 4. Governance & Best Practices
- 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 companys evolving data mesh and streaming architecture vision.
Qualification & Skills
- 5 years of experience in AI/ML engineering with3 years in .
- Strong SQL and Python skills with proven experience buildingETL/ELTat scale.
- Deep understanding ofalgorithm performance tuningquery optimization andwarehouse orchestration.
- Experience withdata pipeline orchestration(Airflow Prefect dbt or similar).
- Solid understanding ofdata modeling(Kimball Data Vault or hybrid).
- Proficiency inKafkaGCP orAWSfor real-time or batch ingestion.
- Familiarity withAPI-based data integrationandmicroservice architectures.
- Preferred
- Experience leadmachine learning teamsor/and deployingML feature pipelines.
- Background inad-tech gaming or e-commercerecommendation systems.
- Familiarity withdata contractsandfeature 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
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA companies partner with Xsolla to help them fund distribute market and monetize their games. Grounded in the belief in the future of video ...
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA companies partner with Xsolla to help them fund distribute market and monetize their games. Grounded in the belief in the future of video games Xsolla is resolute in the mission to bring opportunities together and continually make new resources available to creators. Headquartered and incorporated in Los Angeles California Xsolla operates as the merchant of record and has helped over 1500 game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win developers have all the things needed to enjoy the game.
Responsibilities
- 1. Architecture & Development
- 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.
- 2. Leadership & Collaboration
- 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.
- 3. Performance & Scalability
- 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).
- 4. Governance & Best Practices
- 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 companys evolving data mesh and streaming architecture vision.
Qualification & Skills
- 5 years of experience in AI/ML engineering with3 years in .
- Strong SQL and Python skills with proven experience buildingETL/ELTat scale.
- Deep understanding ofalgorithm performance tuningquery optimization andwarehouse orchestration.
- Experience withdata pipeline orchestration(Airflow Prefect dbt or similar).
- Solid understanding ofdata modeling(Kimball Data Vault or hybrid).
- Proficiency inKafkaGCP orAWSfor real-time or batch ingestion.
- Familiarity withAPI-based data integrationandmicroservice architectures.
- Preferred
- Experience leadmachine learning teamsor/and deployingML feature pipelines.
- Background inad-tech gaming or e-commercerecommendation systems.
- Familiarity withdata contractsandfeature 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
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
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