Machine Learning Engineer
Q2
At a glance
AI generatedAs a Lead Machine Learning Engineer at Prudential Financial, you will collaborate with Data Scientists and Engineers to develop and deploy machine learning models that address complex business challenges. Your daily responsibilities include operationalizing ML software components, writing application code, developing and validating ML models, and automating tests and deployments using cloud-based architectures like AWS SageMaker. You will also construct optimized data pipelines, apply continuous integration and deployment best practices, and ensure model performance through monitoring and validation techniques. The role requires expertise in Python, R, SQL, Java or Scala, TensorFlow, PyTorch, and MLFlow, along with a deep understanding of machine learning algorithms, distributed computing, and big data ecosystems such as Spark/PySpark.
Skills
What you'll do
What we're looking for
Market check
How this pay compares to similar roles
This role pays less than 77% of similar roles. Most pay $183,287–$246,150 — the shaded band above. At the midpoint, this role pays about $177k versus about $215k for comparable roles.
Based on 240 similar postings.
Employer
Prudential Financial is a global financial services leader and premier active global investment manager.
Prudential Financial currently has 29 open roles on FindRole.
Listed pay typically runs $124,350–$204,100 across 28 roles with salary data.
Most-posted roles
More like this
Q2
Capital One Financial
Capital One Financial
Capital One Financial
Capital One Financial
The Walt Disney Company