Big DataMachine Learning Engineer

McLean, MD - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Big Data/Machine Learning Engineer

Location: McLean VA (Hybrid) 3 days onsite a week

Duration: 11 months with possible extension

IV: 1 hour zoom video w/ Stalin

Recommender is a key driver of Incremental PV for Campaign Arbitration on EASE creating over $400MM PV generated via Machine Learning optimization. For 2026 the platform will expand to support Email arbitration gating 100M emails/month.

The platform RTE is expected to increase by 75% through expanded batch data and model training infra.

The additional NAL will critically support RTE for the email expansion as well as add bench strength for campaign RTE. This will free up FTEs for Q1/Q2 KRs to produce the Replay framework and take ownership of the model training infrastructure.

Basic Qualifications:
Bachelors Degree
At least 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies

Preferred Qualifications:
5 years of experience in application development including Python SQL Scala or Java
2 years of experience with a public cloud (AWS Microsoft Azure Google Cloud)
3 years experience with Distributed data/computing tools (MapReduce Hadoop Hive EMR Kafka Spark Gurobi or MySQL)
2 year experience working on real-time data and streaming applications
2 years of experience with NoSQL implementation (Mongo Cassandra)
2 years of data warehousing experience (Redshift or Snowflake)
3 years of experience with UNIX/Linux including basic commands and shell scripting
2 years of experience with Agile engineering practices

Thanks

Amaresh

Sr. Technical Recruiter

Momento USA Exceeding Customer Expectations

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Big Data/Machine Learning Engineer Location: McLean VA (Hybrid) 3 days onsite a week Duration: 11 months with possible extension IV: 1 hour zoom video w/ Stalin Recommender is a key driver of Incremental PV for Campaign Arbitration on EASE creating over $400MM PV generated via Machine Learning opti...