Machine Learning Engineer

Successstoneit; Riverside (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading tech company in Riverside, California, is seeking an experienced machine learning engineer. The ideal candidate will have 4+ years of experience in building ML applications and strong knowledge of AWS and SQL. A passion for the FinTech domain and ability to work in a dynamic environment are essential. Join an innovative team to drive cutting-edge solutions in machine learning.

Qualifications

• 4+ years of industry experience in building machine learning applications.
• Experience in building large-scale machine learning infrastructure.
• Strong ML project experience on AWS.

Skills

Machine Learning Applications

Cloud-Based Ecosystems (AWS)

Data Structures and Algorithms

Programming Language Proficiency (Python)

Big Data Technologies (Spark, Kafka)

SQL

Job description

• 4+ years of industry experience in building machine learning applications.
• Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.
• SQL - 3+ years of relevant exp (Mandate)
• 4+ years of Very strong ML project experience AWS
• Experience with Big Data and distributed technologies such as Spark, EMR, Kafka a plus
• Practical experience in object-oriented design, data structures, algorithm designs, run-time analysis and code quality verification.
• Proficiency in at least one modern programming language such as Python (preferred), Scala, Java, Go.
• Experience working hands-on developing and deploying ML solutions with software engineering rigor on cloud-based ecosystems such as AWS
• Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing.
• Prior exposure to internal PayPal micro-services or infrastructure a plus
• Passion and intellectual curiosity for the FinTech domain.
• Comfortable in working in an ambiguous, fast-paced and high-growth dynamic environment.
• Excellent written and verbal communication, and ability to take ownership of meeting with cross-functional team leads on a regular basis