Junior AI/ML Engineer supporting enterprise AI chatbot development. Involves building AI agents and data intelligence systems with strong Python and ML skills required.
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.
Senior ML Engineer building and improving ML frameworks supporting Torc's autonomous vehicle solutions. Collaborate with the team to enhance ML processes and tools.
Senior Engineer designing and improving machine learning frameworks for autonomous vehicle solutions at Torc Robotics. Collaborating with a team on cutting - edge technology in the field.
Principal Machine Learning Engineer at Lime driving ML strategy and team collaboration on machine learning infrastructure and processes.
Machine Learning Resident for Theragraph involved in developing solutions for health datasets. Collaborating in a cross - functional team under the mentorship of an Amii Scientist.
Senior ML Engineer leading the scaling and innovation of machine learning initiatives at Wisedocs. Collaborating with other engineers to integrate the ML system into the platform for insurance tech.
Lead ML Engineer developing scalable data pipelines and ML systems for Newfold Digital. Collaborate with cross - functional teams using Python, SQL, and cloud ML platforms in an applied ML environment.
Senior Machine Learning Engineer designing and optimizing ML/AI systems for digital forensic tools. Collaborating with cross - functional teams to lead initiatives and drive innovation in digital investigations.
Senior MLOps Engineer focusing on applied MLOps for CreatorIQ, bridging data science and production - grade efficiency. Responsible for annotation workflows and cost - efficient model evaluation.
Senior AI/ML Engineer leading design and deployment of high - impact AI solutions at CloudWerx. Bridging predictive modeling with next - generation Agentic AI to solve client challenges.