Overview
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)
Skills
Document architecture workflows and best practices for knowledge sharing and compliance. Provide technical oversight & Guidelines.
Job Details
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Role: DevOps Engineer with AI ML
Location: San Jose, CA (Onsite)
Job Description:
- Experienced tech engineer with 5+ years of experience in DevOps, cloud platforms, modern AI/ML tools and GenAI
- Skilled in building end-to-end ML pipelines, including data collection, cleaning, feature engineering, model training, and deployment to production.
- Experienced in ML algorithms, parameter tuning, and A/B testing.
- Hands-on experience with advanced model tuning, hyperparameter optimization, and performance monitoring techniques
- Adept at using cloud-native solutions for scalable computing, with hands-on experience using Kubernetes, Docker, and Apache Kafka for containerization, orchestration, and stream processing.
- Optimizing data pipelines, achieving faster model inference and lower resource consumption, maintaining system reliability.
Education:
Bachelor's in Electrical Engineering, Computer Science, Math, Statistics, etc.Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.