Back to SearchSenior Generative AI Operations Engineer
We are seeking a skilled and innovative Senior Generative AI Operations Engineer to join our Compute and Database Operations Team. In this position, you will design, create, and implement advanced AI systems and machine learning solutions to enhance scalability and optimize data operations performance.
This role combines proficiency in software development, AI/ML, data engineering, and statistical methodologies to deliver high-performing, production-ready AI solutions for the organization. You will work with state-of-the-art tools like Google Gemini, Vertex AI, PyTorch, and BigQuery to address challenging problems, drive optimal performance, and enable intelligent automation in complex data workflows.
Apply now to make an impact in delivering groundbreaking AI-driven solutions.
- Develop advanced AI algorithms and neural networks to address specific business and operational challenges within the DB ecosystem
- Leverage frameworks like PyTorch and Vertex AI to build models for tasks such as anomaly detection, predictive analytics, NLP, and automating DB processes
- Package AI/ML models into scalable APIs and integrate them within production environments and DB systems
- Monitor and refine AI/ML models to improve precision, scalability, and efficiency using diverse datasets
- Collaborate with DB engineers, data scientists, product managers, and business stakeholders to align AI initiatives with organizational goals
- Ensure data quality through industry-standard practices for data cleaning, transformation, and validation
- Research technological advancements in AI/ML and explore new tools and frameworks to introduce innovative solutions in the DB team
- Troubleshoot system and model-related issues and enhance inference speed and system productivity
- Validate data integrity and ensure dependable and accurate outputs from AI solutions
- Model decision-making processes or automate complex workflows that seamlessly interact with data infrastructure
- 3+ years of experience in AI/ML, data engineering, or closely related fields
- Proficiency in Google Gemini, Vertex AI, and PyTorch demonstrated through practical projects
- Competency in BigQuery, Apache Airflow, and ELK Stack for tasks like orchestration, analytics, and monitoring
- Background in developing and deploying AI models, APIs, and machine learning pipelines in production
- Expertise in large-scale data management, including processing, cleaning, and transformation
- Capability to diagnose AI systems, perform diagnostics, and enhance performance
- Understanding of generative AI models and their real-world applications to business scenarios
- Showcase of effective communication skills in English, both spoken and written, at B2 level or higher