Staff Machine Learning Engineer


Job Description

• Skilled with Docker & Kubernetes
• Development experience with Golang (alternatively a strong background in Scala or Java)
• Skilled in Flink Cluster, Kafka Cluster, Redis Cluster & Elastic Search Cluster.
• Skilled at CI/CD using automation tools such as Jenkins, Ansible script.
• Experience using and configuring operational tools such as Splunk, Humio, Prometheus & Grafana.
• Experienced at administering a code repo such as Github
• Minimum of 2-3 years’ experience in production CI pipelines, utilizing big data engineering techniques that enable statistical solutions to solve business problems
• Post graduate degree in Computer Science/ Engineering, Information Science or a related discipline with strong technical experiences highly desired
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
• Extensive experience with SQL and big data technologies (Hadoop, Python , Spark, Hive etc.) tools for large scale data processing, data transformation and machine learning pipelines
• Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is very helpful
• Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients
• Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style

Key Skills

Analytical; Machine learning; Intellectual property; splunk; Data mining; Analytics; Financial services; SQL; Python

About Company

Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financialinstitutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone,everywhere by being the best way to pay and be paid.

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