Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
Data • Credit • Data Management • Risk Management • Health Data
10,000+ employees
Founded 1980
Senior MLOps Engineer
March 25
🌽 Illinois – Remote
💵 $125k - $160k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
Data • Credit • Data Management • Risk Management • Health Data
10,000+ employees
Founded 1980
📋 Description
• Seeking a skilled MLOps Engineer with expertise in MLOps or DevOps, GCP, SQL databases, and Kubernetes • Responsibilities include automation, documentation, and collaboration with Data Science and Data & Analytics teams for seamless integration of ML workflows • Enjoy remote work with the option to engage at our Deerfield office • Drive innovation and operational excellence as we navigate the cutting edge • Shape the future of our data integration initiatives, improve processes, and drive impactful results
🎯 Requirements
• 4+ years of experience in MLOps or DevOps • Highly proficient in writing clean, robust Python code using coding best practices • 3+ years of hands-on experience in cloud computing, eg. GCP • 3+ years of hands-on experience in Kubernetes and containers with track record in deployment of jobs at scale • Good expertise in SQL databases, preferably in PostgreSQL database and Snowflake data warehouse • Intermediate to advance knowledge of data pipeline or ML orchestration • Track record of implementing monitoring and observability solution, eg. Datadog • Excellent communication skills for discussing complex technical with engineers and the ability of translating technical concepts to non-technical stakeholders • Proven ability to decompose complex technical challenges and produce a pragmatic solution • The ability to adapt and balance delivery, attention to detail with constraints and pragmatism
🏖️ Benefits
• Robust health plans • Market-leading 401(k) program with a company contribution • Product discounts • Flexible time off benefits (including half-day summer Fridays per policy) • Inclusive fertility / adoption benefits • Numerous ERGs (Employee Resource Groups) to support inclusivity
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