Machine Learning Operations Architect

Agile, Algorithms, Amazon Web Services, Apache Airflow, Apache Spark, Architecture, Cloud, Collaboration, Communication skills, Computer science, Continuous integration, Data engineering, Data science, Deep learning, DevOps, Docker, ETL, Engineering, JVM, Java, Kotlin, Kubernetes, Leadership, Machine learning, Production, Python, Scala, Software deployment, Software development, MLflow, Kubeflow
Full Time
$120,000 - $400,000

Job Description

Talent Solutions Group has an exciting opportunity for Machine Learning professionals. We are looking for expert ML Engineers for a global Fortune 500 organization developing ML tools. This is a chance to build from scratch with a massive budget. This role has an option for full remote for candidates outside of NY and NC.

About You:

You are someone who has taken data science further than most. You live and breathe data industry and you are passionate about operationalized model deployment and are production systems literate. You are actively engaged in the community of ML. You are a real production coder and a full agile expert. You have strong technical collaboration and communication skills.

 

What You’ll Do:

You will lead the way by creating and owning the next generation of machine learning algorithms and end-to-end systems. You will  be a part of a platform development team designing and implementing highly performant data contextualization pipelines using leading edge technologies such as Databricks, Apache Spark, and/or Deltalake. You will work closely with domain engineers and data scientists to architect outbound data engineering pipelines and deliver proofs of concept and recommended patterns of practice to the stakeholders.

 

What We’d Like to See:

  • Strong background in Computer Science and Data Science
  • Experience building on an Enterprise ML Platform
  • Experience with CNNs, RNNs, or other deep learning algorithms
  • Expert proficiency in data ingestion and building data pipelines
  • Expert proficiency in one JVM language (Java, Scala, or Kotlin) and Python
  • Production DevOps experience
  • Experience programming on the Apache Spark platform
  • Experience with Apache Airflow
  • Experience with MLFlow and/or Kubeflow
  • Experience with Docker and Kubernetes
  • Experience with Cloud (AWS)
  • Experience with CI/CD & Agile methodologies
Dice Id : 90812961
Position Id : 6541563
Originally Posted : 2 months ago
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