MLOps Engineer (Fraud prevention and DevOps)
April 26
Description
• A Machine Learning Operations (MLOps) Engineer plays a critical role in bridging the gap between data science and software engineering. Their primary responsibility is to design, build, deploy, and maintain scalable machine learning systems in production environments. • Explore the vast capabilities of AI to enhance operational efficiency.
Requirements
• Knowledge of data-wrangling tools and how to use them • Research-oriented background with the ability to implement insights from research papers. • Proficient in Python and SQL. • Proficient in ML libraries like PyTorch , TensorFlow , hugging face, etc • Experience with cloud-based services like the Google Cloud platform. • Knows about vpc, networking configs, etc. • Detail-oriented with a strong research mindset.
Benefits
• Online technical assessment • Technical interview • Cultural interview • If you are not willing to do an online quiz, please do not apply.
Apply NowSimilar Jobs
April 24
banco BV
1001 - 5000
🇧🇷 Brazil – Remote
💰 Debt Financing on 2022-07
⏰ Full Time
🟡 Mid-level
🟠 Senior
🖥 DevOps & Production Engineering
March 14
Incognia
51 - 200
🇧🇷 Brazil – Remote
💵 R$120.4k - R$139.1k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🖥 DevOps & Production Engineering
