Sr. MLOPS Engineer with Vertex AI

Golden Technology; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

An innovative firm is looking for a dynamic Senior Software Engineer with a focus on machine learning to lead the integration of ML models in their Search area. This role emphasizes collaboration with data scientists and leadership teams, requiring a strong foundation in MLOps methodologies and hands-on experience with recommender systems. The ideal candidate will manage feature stores and ensure high-quality data for ML models, driving continuous optimization and monitoring of ML systems in production. If you're passionate about leveraging machine learning to enhance business growth, this is the perfect opportunity for you.

Qualifications

• Strong foundation in MLOps methodologies and diverse ML platforms.
• Hands-on experience with recommender systems and ML techniques.
• Knowledge of deploying ML models in production environments

Responsibilities

• Lead integration of ML models in Search area and collaborate with teams.
• Manage feature stores and ensure data integrity for ML models.
• Oversee infrastructure needs for deploying ML systems (CPU/GPU, networking).
• Manage feature stores at scale using Vertex AI Feature Store and ensure transparency in ML operations.
• Assist with data labeling and management to ensure high-quality data for models.
• Ensure end-to-end data integration for ML models using BigQuery/BigTable for BI tools.
• Monitor ML systems in production and iterate on optimizations.

Skills

MLOps

Machine Learning

Software Engineering

Data Management

AB Testing

Data Labeling

Tools

Google Vertex AI

BigTable

BigQuery

Job description

Direct message the job poster from Golden Technology

Strategic Account Manager | Driving Talent Acquisition & Business Growth at Golden Resource Inc.

We are seeking a dynamic Senior Software Engineer with an ML focus to lead the integration and operationalization of machine learning models in our Search area. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.

Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, and transformers.

1. Software engineering skills to work with teams integrating the recommender systems into customer facing products.
2. Experience in AB testing and iterative optimization using data driven approaches.
3. Understanding of infrastructure needs required to deploy ML systems (CPU/GPU, networking infrastructure).

Feature Store Management:

1. Efficiently manage, share, and reuse machine learning features at scale using Vertex AI Feature Store.
2. Implement feature stores as a central repository for maintaining transparency in ML operations across the organization.
3. Enable feature delivery with endpoint exposure while maintaining authority and security features.

Data Management and Collaboration:

1. Assist as needed with data labeling and management, ensuring high-quality data for ML models.
2. Collaborate with data engineers and data scientists to ensure the integrity and efficiency of data used in ML models.
3. Ensure end-to-end integration for data to AI, including the use of BigTable / BigQuery for executing machine learning models on business intelligence tools.

Continuous Monitoring and Optimization:

1. Monitor ML systems in production, identify improvement opportunities, and implement optimizations.
2. Participate in support rotations and participate in support calls as necessary.

Seniority level

Not Applicable

Employment type

Contract

Job function

Research

Industries

Retail