Data Engineer designing and building data pipelines for PG&E's reliability initiatives. Engaging in continuous improvement and collaborating with various stakeholders in hybrid role.
About the role
- AI/ML/Data Engineer building production-grade AI solutions for Bragg's iGaming platform. Collaborating with teams to develop innovative data infrastructures and ML models.
Responsibilities
- Develop and build data infrastructure solutions to support the execution of the AI initiatives
- Develop data pipelines, workflows and custom data solutions for supporting ML models and scalable AI solutions
- Collaborate with the rest of the AI team and the product teams to understand needs, challenges, KPIs, and data, and translate these into effective data and AI products
- Design, develop and build scalable ML/AI models
- Automatize the code delivery process, model building and serving with CI/CD solutions that can heavily improve and speed-up the AI development cycle
- Ensure model performance through continuous monitoring, analysis, and improvement based on product evolution and performance data
Requirements
- 3+ years of experience in developing, deploying, and scaling data solutions, ML models and AI solutions in a production environment
- University degree in Computer Science, ML, AI, Statistics or comparable industry experience
- Strong data engineering proficiency with data engineering principles, languages, frameworks, and libraries (e.g., SQL, dbt, data pipeline orchestrators)
- Experience in monitoring, analyzing, and improving the performance of ML models in production, and adopting new AI/ML technologies
- Experience working with cloud platforms (e.g., GCP) and their AI/ML services
- Experience with containerization technologies (e.g., Docker, Kubernetes)
- Strong proficiency with AI/ML programming languages, frameworks and libraries (e.g., Python, TensorFlow, PyTorch, scikit-learn)
- Familiarity with MLOps practices and tools (e.g., MLFlow) for CI/CD, and monitoring of ML systems
- Solid understanding of software engineering principles and best practices
- Strong problem-solving and analytical skills
- Demonstrated ability to drive projects to completion and work independently
- Good communication skills and excellent knowledge of written and spoken English.
Benefits
- Experience-based compensation package
- Remote or hybrid work model
- 30 free days
- Educational learning opportunities to support each employee's professional growth journey
- Sports activities, team building, and informal gatherings
- Free drinks, fruit, and ice cream
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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